• European Robot Makers Adopt NVIDIA Isaac, Omniverse and Halos to Develop Safe, Physical AI-Driven Robot Fleets

    In the face of growing labor shortages and need for sustainability, European manufacturers are racing to reinvent their processes to become software-defined and AI-driven.
    To achieve this, robot developers and industrial digitalization solution providers are working with NVIDIA to build safe, AI-driven robots and industrial technologies to drive modern, sustainable manufacturing.
    At NVIDIA GTC Paris at VivaTech, Europe’s leading robotics companies including Agile Robots, Extend Robotics, Humanoid, idealworks, Neura Robotics, SICK, Universal Robots, Vorwerk and Wandelbots are showcasing their latest AI-driven robots and automation breakthroughs, all accelerated by NVIDIA technologies. In addition, NVIDIA is releasing new models and tools to support the entire robotics ecosystem.
    NVIDIA Releases Tools for Accelerating Robot Development and Safety
    NVIDIA Isaac GR00T N1.5, an open foundation model for humanoid robot reasoning and skills, is now available for download on Hugging Face. This update enhances the model’s adaptability and ability to follow instructions, significantly improving its performance in material handling and manufacturing tasks. The NVIDIA Isaac Sim 5.0 and Isaac Lab 2.2 open-source robotics simulation and learning frameworks, optimized for NVIDIA RTX PRO 6000 workstations, are available on GitHub for developer preview.
    In addition, NVIDIA announced that NVIDIA Halos — a full-stack, comprehensive safety system that unifies hardware architecture, AI models, software, tools and services — now expands to robotics, promoting safety across the entire development lifecycle of AI-driven robots.
    The NVIDIA Halos AI Systems Inspection Lab has earned accreditation from the ANSI National Accreditation Boardto perform inspections across functional safety for robotics, in addition to automotive vehicles.
    “NVIDIA’s latest evaluation with ANAB verifies the demonstration of competence and compliance with internationally recognized standards, helping ensure that developers of autonomous machines — from automotive to robotics — can meet the highest benchmarks for functional safety,” said R. Douglas Leonard Jr., executive director of ANAB.
    Arcbest, Advantech, Bluewhite, Boston Dynamics, FORT, Inxpect, KION, NexCobot — a NEXCOM company, and Synapticon are among the first robotics companies to join the Halos Inspection Lab, ensuring their products meet NVIDIA safety and cybersecurity requirements.
    To support robotics leaders in strengthening safety across the entire development lifecycle of AI-driven robots, Halos will now provide:

    Safety extension packages for the NVIDIA IGX platform, enabling manufacturers to easily program safety functions into their robots, supported by TÜV Rheinland’s inspection of NVIDIA IGX.
    A robotic safety platform, which includes IGX and NVIDIA Holoscan Sensor Bridge for a unified approach to designing sensor-to-compute architecture with built-in AI safety.
    An outside-in safety AI inspector — an AI-powered agent for monitoring robot operations, helping improve worker safety.

    Europe’s Robotics Ecosystem Builds on NVIDIA’s Three Computers
    Europe’s leading robotics developers and solution providers are integrating the NVIDIA Isaac robotics platform to train, simulate and deploy robots across different embodiments.
    Agile Robots is post-training the GR00T N1 model in Isaac Lab to train its dual-arm manipulator robots, which run on NVIDIA Jetson hardware, to execute a variety of tasks in industrial environments.
    Meanwhile, idealworks has adopted the Mega NVIDIA Omniverse Blueprint for robotic fleet simulation to extend the blueprint’s capabilities to humanoids. Building on the VDA 5050 framework, idealworks contributes to the development of guidance that supports tasks uniquely enabled by humanoid robots, such as picking, moving and placing objects.
    Neura Robotics is integrating NVIDIA Isaac to further enhance its robot development workflows. The company is using GR00T-Mimic to post-train the Isaac GR00T N1 robot foundation model for its service robot MiPA. Neura is also collaborating with SAP and NVIDIA to integrate SAP’s Joule agents with its robots, using the Mega NVIDIA Omniverse Blueprint to simulate and refine robot behavior in complex, realistic operational scenarios before deployment.
    Vorwerk is using NVIDIA technologies to power its AI-driven collaborative robots. The company is post-training GR00T N1 models in Isaac Lab with its custom synthetic data pipeline, which is built on Isaac GR00T-Mimic and powered by the NVIDIA Omniverse platform. The enhanced models are then deployed on NVIDIA Jetson AGX, Jetson Orin or Jetson Thor modules for advanced, real-time home robotics.
    Humanoid is using NVIDIA’s full robotics stack, including Isaac Sim and Isaac Lab, to cut its prototyping time down by six weeks. The company is training its vision language action models on NVIDIA DGX B200 systems to boost the cognitive abilities of its robots, allowing them to operate autonomously in complex environments using Jetson Thor onboard computing.
    Universal Robots is introducing UR15, its fastest collaborative robot yet, to the European market. Using UR’s AI Accelerator — developed on NVIDIA Isaac’s CUDA-accelerated libraries and AI models, as well as NVIDIA Jetson AGX Orin — manufacturers can build AI applications to embed intelligence into the company’s new cobots.
    Wandelbots is showcasing its NOVA Operating System, now integrated with Omniverse, to simulate, validate and optimize robotic behaviors virtually before deploying them to physical robots. Wandelbots also announced a collaboration with EY and EDAG to offer manufacturers a scalable automation platform on Omniverse that speeds up the transition from proof of concept to full-scale deployment.
    Extend Robotics is using the Isaac GR00T platform to enable customers to control and train robots for industrial tasks like visual inspection and handling radioactive materials. The company’s Advanced Mechanics Assistance System lets users collect demonstration data and generate diverse synthetic datasets with NVIDIA GR00T-Mimic and GR00T-Gen to train the GR00T N1 foundation model.
    SICK is enhancing its autonomous perception solutions by integrating new certified sensor models — as well as 2D and 3D lidars, safety scanners and cameras — into NVIDIA Isaac Sim. This enables engineers to virtually design, test and validate machines using SICK’s sensing models within Omniverse, supporting processes spanning product development to large-scale robotic fleet management.
    Toyota Material Handling Europe is working with SoftServe to simulate its autonomous mobile robots working alongside human workers, using the Mega NVIDIA Omniverse Blueprint. Toyota Material Handling Europe is testing and simulating a multitude of traffic scenarios — allowing the company to refine its AI algorithms before real-world deployment.
    NVIDIA’s partner ecosystem is enabling European industries to tap into intelligent, AI-powered robotics. By harnessing advanced simulation, digital twins and generative AI, manufacturers are rapidly developing and deploying safe, adaptable robot fleets that address labor shortages, boost sustainability and drive operational efficiency.
    Watch the NVIDIA GTC Paris keynote from NVIDIA founder and CEO Jensen Huang at VivaTech, and explore GTC Paris sessions.
    See notice regarding software product information.
    #european #robot #makers #adopt #nvidia
    European Robot Makers Adopt NVIDIA Isaac, Omniverse and Halos to Develop Safe, Physical AI-Driven Robot Fleets
    In the face of growing labor shortages and need for sustainability, European manufacturers are racing to reinvent their processes to become software-defined and AI-driven. To achieve this, robot developers and industrial digitalization solution providers are working with NVIDIA to build safe, AI-driven robots and industrial technologies to drive modern, sustainable manufacturing. At NVIDIA GTC Paris at VivaTech, Europe’s leading robotics companies including Agile Robots, Extend Robotics, Humanoid, idealworks, Neura Robotics, SICK, Universal Robots, Vorwerk and Wandelbots are showcasing their latest AI-driven robots and automation breakthroughs, all accelerated by NVIDIA technologies. In addition, NVIDIA is releasing new models and tools to support the entire robotics ecosystem. NVIDIA Releases Tools for Accelerating Robot Development and Safety NVIDIA Isaac GR00T N1.5, an open foundation model for humanoid robot reasoning and skills, is now available for download on Hugging Face. This update enhances the model’s adaptability and ability to follow instructions, significantly improving its performance in material handling and manufacturing tasks. The NVIDIA Isaac Sim 5.0 and Isaac Lab 2.2 open-source robotics simulation and learning frameworks, optimized for NVIDIA RTX PRO 6000 workstations, are available on GitHub for developer preview. In addition, NVIDIA announced that NVIDIA Halos — a full-stack, comprehensive safety system that unifies hardware architecture, AI models, software, tools and services — now expands to robotics, promoting safety across the entire development lifecycle of AI-driven robots. The NVIDIA Halos AI Systems Inspection Lab has earned accreditation from the ANSI National Accreditation Boardto perform inspections across functional safety for robotics, in addition to automotive vehicles. “NVIDIA’s latest evaluation with ANAB verifies the demonstration of competence and compliance with internationally recognized standards, helping ensure that developers of autonomous machines — from automotive to robotics — can meet the highest benchmarks for functional safety,” said R. Douglas Leonard Jr., executive director of ANAB. Arcbest, Advantech, Bluewhite, Boston Dynamics, FORT, Inxpect, KION, NexCobot — a NEXCOM company, and Synapticon are among the first robotics companies to join the Halos Inspection Lab, ensuring their products meet NVIDIA safety and cybersecurity requirements. To support robotics leaders in strengthening safety across the entire development lifecycle of AI-driven robots, Halos will now provide: Safety extension packages for the NVIDIA IGX platform, enabling manufacturers to easily program safety functions into their robots, supported by TÜV Rheinland’s inspection of NVIDIA IGX. A robotic safety platform, which includes IGX and NVIDIA Holoscan Sensor Bridge for a unified approach to designing sensor-to-compute architecture with built-in AI safety. An outside-in safety AI inspector — an AI-powered agent for monitoring robot operations, helping improve worker safety. Europe’s Robotics Ecosystem Builds on NVIDIA’s Three Computers Europe’s leading robotics developers and solution providers are integrating the NVIDIA Isaac robotics platform to train, simulate and deploy robots across different embodiments. Agile Robots is post-training the GR00T N1 model in Isaac Lab to train its dual-arm manipulator robots, which run on NVIDIA Jetson hardware, to execute a variety of tasks in industrial environments. Meanwhile, idealworks has adopted the Mega NVIDIA Omniverse Blueprint for robotic fleet simulation to extend the blueprint’s capabilities to humanoids. Building on the VDA 5050 framework, idealworks contributes to the development of guidance that supports tasks uniquely enabled by humanoid robots, such as picking, moving and placing objects. Neura Robotics is integrating NVIDIA Isaac to further enhance its robot development workflows. The company is using GR00T-Mimic to post-train the Isaac GR00T N1 robot foundation model for its service robot MiPA. Neura is also collaborating with SAP and NVIDIA to integrate SAP’s Joule agents with its robots, using the Mega NVIDIA Omniverse Blueprint to simulate and refine robot behavior in complex, realistic operational scenarios before deployment. Vorwerk is using NVIDIA technologies to power its AI-driven collaborative robots. The company is post-training GR00T N1 models in Isaac Lab with its custom synthetic data pipeline, which is built on Isaac GR00T-Mimic and powered by the NVIDIA Omniverse platform. The enhanced models are then deployed on NVIDIA Jetson AGX, Jetson Orin or Jetson Thor modules for advanced, real-time home robotics. Humanoid is using NVIDIA’s full robotics stack, including Isaac Sim and Isaac Lab, to cut its prototyping time down by six weeks. The company is training its vision language action models on NVIDIA DGX B200 systems to boost the cognitive abilities of its robots, allowing them to operate autonomously in complex environments using Jetson Thor onboard computing. Universal Robots is introducing UR15, its fastest collaborative robot yet, to the European market. Using UR’s AI Accelerator — developed on NVIDIA Isaac’s CUDA-accelerated libraries and AI models, as well as NVIDIA Jetson AGX Orin — manufacturers can build AI applications to embed intelligence into the company’s new cobots. Wandelbots is showcasing its NOVA Operating System, now integrated with Omniverse, to simulate, validate and optimize robotic behaviors virtually before deploying them to physical robots. Wandelbots also announced a collaboration with EY and EDAG to offer manufacturers a scalable automation platform on Omniverse that speeds up the transition from proof of concept to full-scale deployment. Extend Robotics is using the Isaac GR00T platform to enable customers to control and train robots for industrial tasks like visual inspection and handling radioactive materials. The company’s Advanced Mechanics Assistance System lets users collect demonstration data and generate diverse synthetic datasets with NVIDIA GR00T-Mimic and GR00T-Gen to train the GR00T N1 foundation model. SICK is enhancing its autonomous perception solutions by integrating new certified sensor models — as well as 2D and 3D lidars, safety scanners and cameras — into NVIDIA Isaac Sim. This enables engineers to virtually design, test and validate machines using SICK’s sensing models within Omniverse, supporting processes spanning product development to large-scale robotic fleet management. Toyota Material Handling Europe is working with SoftServe to simulate its autonomous mobile robots working alongside human workers, using the Mega NVIDIA Omniverse Blueprint. Toyota Material Handling Europe is testing and simulating a multitude of traffic scenarios — allowing the company to refine its AI algorithms before real-world deployment. NVIDIA’s partner ecosystem is enabling European industries to tap into intelligent, AI-powered robotics. By harnessing advanced simulation, digital twins and generative AI, manufacturers are rapidly developing and deploying safe, adaptable robot fleets that address labor shortages, boost sustainability and drive operational efficiency. Watch the NVIDIA GTC Paris keynote from NVIDIA founder and CEO Jensen Huang at VivaTech, and explore GTC Paris sessions. See notice regarding software product information. #european #robot #makers #adopt #nvidia
    BLOGS.NVIDIA.COM
    European Robot Makers Adopt NVIDIA Isaac, Omniverse and Halos to Develop Safe, Physical AI-Driven Robot Fleets
    In the face of growing labor shortages and need for sustainability, European manufacturers are racing to reinvent their processes to become software-defined and AI-driven. To achieve this, robot developers and industrial digitalization solution providers are working with NVIDIA to build safe, AI-driven robots and industrial technologies to drive modern, sustainable manufacturing. At NVIDIA GTC Paris at VivaTech, Europe’s leading robotics companies including Agile Robots, Extend Robotics, Humanoid, idealworks, Neura Robotics, SICK, Universal Robots, Vorwerk and Wandelbots are showcasing their latest AI-driven robots and automation breakthroughs, all accelerated by NVIDIA technologies. In addition, NVIDIA is releasing new models and tools to support the entire robotics ecosystem. NVIDIA Releases Tools for Accelerating Robot Development and Safety NVIDIA Isaac GR00T N1.5, an open foundation model for humanoid robot reasoning and skills, is now available for download on Hugging Face. This update enhances the model’s adaptability and ability to follow instructions, significantly improving its performance in material handling and manufacturing tasks. The NVIDIA Isaac Sim 5.0 and Isaac Lab 2.2 open-source robotics simulation and learning frameworks, optimized for NVIDIA RTX PRO 6000 workstations, are available on GitHub for developer preview. In addition, NVIDIA announced that NVIDIA Halos — a full-stack, comprehensive safety system that unifies hardware architecture, AI models, software, tools and services — now expands to robotics, promoting safety across the entire development lifecycle of AI-driven robots. The NVIDIA Halos AI Systems Inspection Lab has earned accreditation from the ANSI National Accreditation Board (ANAB) to perform inspections across functional safety for robotics, in addition to automotive vehicles. “NVIDIA’s latest evaluation with ANAB verifies the demonstration of competence and compliance with internationally recognized standards, helping ensure that developers of autonomous machines — from automotive to robotics — can meet the highest benchmarks for functional safety,” said R. Douglas Leonard Jr., executive director of ANAB. Arcbest, Advantech, Bluewhite, Boston Dynamics, FORT, Inxpect, KION, NexCobot — a NEXCOM company, and Synapticon are among the first robotics companies to join the Halos Inspection Lab, ensuring their products meet NVIDIA safety and cybersecurity requirements. To support robotics leaders in strengthening safety across the entire development lifecycle of AI-driven robots, Halos will now provide: Safety extension packages for the NVIDIA IGX platform, enabling manufacturers to easily program safety functions into their robots, supported by TÜV Rheinland’s inspection of NVIDIA IGX. A robotic safety platform, which includes IGX and NVIDIA Holoscan Sensor Bridge for a unified approach to designing sensor-to-compute architecture with built-in AI safety. An outside-in safety AI inspector — an AI-powered agent for monitoring robot operations, helping improve worker safety. Europe’s Robotics Ecosystem Builds on NVIDIA’s Three Computers Europe’s leading robotics developers and solution providers are integrating the NVIDIA Isaac robotics platform to train, simulate and deploy robots across different embodiments. Agile Robots is post-training the GR00T N1 model in Isaac Lab to train its dual-arm manipulator robots, which run on NVIDIA Jetson hardware, to execute a variety of tasks in industrial environments. Meanwhile, idealworks has adopted the Mega NVIDIA Omniverse Blueprint for robotic fleet simulation to extend the blueprint’s capabilities to humanoids. Building on the VDA 5050 framework, idealworks contributes to the development of guidance that supports tasks uniquely enabled by humanoid robots, such as picking, moving and placing objects. Neura Robotics is integrating NVIDIA Isaac to further enhance its robot development workflows. The company is using GR00T-Mimic to post-train the Isaac GR00T N1 robot foundation model for its service robot MiPA. Neura is also collaborating with SAP and NVIDIA to integrate SAP’s Joule agents with its robots, using the Mega NVIDIA Omniverse Blueprint to simulate and refine robot behavior in complex, realistic operational scenarios before deployment. Vorwerk is using NVIDIA technologies to power its AI-driven collaborative robots. The company is post-training GR00T N1 models in Isaac Lab with its custom synthetic data pipeline, which is built on Isaac GR00T-Mimic and powered by the NVIDIA Omniverse platform. The enhanced models are then deployed on NVIDIA Jetson AGX, Jetson Orin or Jetson Thor modules for advanced, real-time home robotics. Humanoid is using NVIDIA’s full robotics stack, including Isaac Sim and Isaac Lab, to cut its prototyping time down by six weeks. The company is training its vision language action models on NVIDIA DGX B200 systems to boost the cognitive abilities of its robots, allowing them to operate autonomously in complex environments using Jetson Thor onboard computing. Universal Robots is introducing UR15, its fastest collaborative robot yet, to the European market. Using UR’s AI Accelerator — developed on NVIDIA Isaac’s CUDA-accelerated libraries and AI models, as well as NVIDIA Jetson AGX Orin — manufacturers can build AI applications to embed intelligence into the company’s new cobots. Wandelbots is showcasing its NOVA Operating System, now integrated with Omniverse, to simulate, validate and optimize robotic behaviors virtually before deploying them to physical robots. Wandelbots also announced a collaboration with EY and EDAG to offer manufacturers a scalable automation platform on Omniverse that speeds up the transition from proof of concept to full-scale deployment. Extend Robotics is using the Isaac GR00T platform to enable customers to control and train robots for industrial tasks like visual inspection and handling radioactive materials. The company’s Advanced Mechanics Assistance System lets users collect demonstration data and generate diverse synthetic datasets with NVIDIA GR00T-Mimic and GR00T-Gen to train the GR00T N1 foundation model. SICK is enhancing its autonomous perception solutions by integrating new certified sensor models — as well as 2D and 3D lidars, safety scanners and cameras — into NVIDIA Isaac Sim. This enables engineers to virtually design, test and validate machines using SICK’s sensing models within Omniverse, supporting processes spanning product development to large-scale robotic fleet management. Toyota Material Handling Europe is working with SoftServe to simulate its autonomous mobile robots working alongside human workers, using the Mega NVIDIA Omniverse Blueprint. Toyota Material Handling Europe is testing and simulating a multitude of traffic scenarios — allowing the company to refine its AI algorithms before real-world deployment. NVIDIA’s partner ecosystem is enabling European industries to tap into intelligent, AI-powered robotics. By harnessing advanced simulation, digital twins and generative AI, manufacturers are rapidly developing and deploying safe, adaptable robot fleets that address labor shortages, boost sustainability and drive operational efficiency. Watch the NVIDIA GTC Paris keynote from NVIDIA founder and CEO Jensen Huang at VivaTech, and explore GTC Paris sessions. See notice regarding software product information.
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  • EA CEO Andrew Wilson earned 260 times more than the company's median worker last year

    EA has confirmed the salary of its 'median employee' fell last year, but its top executives are earning more.
    EA CEO Andrew Wilson earned 260 times more than the company's median worker last year EA has confirmed the salary of its 'median employee' fell last year, but its top executives are earning more.
    EA CEO Andrew Wilson earned 260 times more than the company's median worker last year
    EA has confirmed the salary of its 'median employee' fell last year, but its top executives are earning more.
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  • Oh, joy! Just when you thought the world of sunglasses couldn’t get any more exclusive, here comes Meta, strutting in with its latest coup: Prada shades! Because, let’s be honest, when you think of cutting-edge tech, who better to partner with than a fashion house known for turning fabric into fortune? That's right, folks—Ray-Ban, Oakley… and now Prada!

    I mean, it only makes sense. Who wouldn’t want to experience augmented reality while looking like they just stepped off a runway? Forget practicality; we’re living in a digital age where style trumps substance—especially when your sunglasses cost more than your monthly rent. Meta’s new venture is the perfect embodiment of this ethos: blending high fashion with the latest tech, or as I like to call it, “the art of looking fabulous while you fail to see reality.”

    The marketing team must have had a field day brainstorming this one. “Let’s take two things people love—fashion and technology—and mash them together like a smoothie that you can’t quite identify!” Brilliant! Imagine strutting down the street, these Prada shades perched on your nose, the world around you filtered through a lens that screams, “I’m too cool for your mundane existence.”

    And let’s not forget the irony of wearing designer sunglasses to look at a digital world. It’s like putting on a tuxedo to play video games in your basement. Who needs the real world when you can have a virtual one enhanced by a pair of overpriced glasses? It’s a match made in, well, a marketing executive’s dream.

    But hey, at least they’ve managed to keep the legacy of Ray-Ban and Oakley alive—who needs function when you can turn heads? Sure, they might not shield your eyes from the glaring truth of your bank account after this purchase, but at least you’ll be the best-dressed person in the room… or the one most likely to be judged for frivolous spending.

    So, to all you fashion-forward tech enthusiasts out there, let’s raise a toast to the new era of eyewear! May your Prada shades serve as a reminder that in this world, it’s not about what you see, but how you look doing it. Cheers to the future, where your inability to see the obvious is only matched by your impeccable taste in sunglasses!

    #MetaPrada #FashionTech #RayBanOakley #SunglassesSeason #VirtualReality
    Oh, joy! Just when you thought the world of sunglasses couldn’t get any more exclusive, here comes Meta, strutting in with its latest coup: Prada shades! Because, let’s be honest, when you think of cutting-edge tech, who better to partner with than a fashion house known for turning fabric into fortune? That's right, folks—Ray-Ban, Oakley… and now Prada! I mean, it only makes sense. Who wouldn’t want to experience augmented reality while looking like they just stepped off a runway? Forget practicality; we’re living in a digital age where style trumps substance—especially when your sunglasses cost more than your monthly rent. Meta’s new venture is the perfect embodiment of this ethos: blending high fashion with the latest tech, or as I like to call it, “the art of looking fabulous while you fail to see reality.” The marketing team must have had a field day brainstorming this one. “Let’s take two things people love—fashion and technology—and mash them together like a smoothie that you can’t quite identify!” Brilliant! Imagine strutting down the street, these Prada shades perched on your nose, the world around you filtered through a lens that screams, “I’m too cool for your mundane existence.” And let’s not forget the irony of wearing designer sunglasses to look at a digital world. It’s like putting on a tuxedo to play video games in your basement. Who needs the real world when you can have a virtual one enhanced by a pair of overpriced glasses? It’s a match made in, well, a marketing executive’s dream. But hey, at least they’ve managed to keep the legacy of Ray-Ban and Oakley alive—who needs function when you can turn heads? Sure, they might not shield your eyes from the glaring truth of your bank account after this purchase, but at least you’ll be the best-dressed person in the room… or the one most likely to be judged for frivolous spending. So, to all you fashion-forward tech enthusiasts out there, let’s raise a toast to the new era of eyewear! May your Prada shades serve as a reminder that in this world, it’s not about what you see, but how you look doing it. Cheers to the future, where your inability to see the obvious is only matched by your impeccable taste in sunglasses! #MetaPrada #FashionTech #RayBanOakley #SunglassesSeason #VirtualReality
    Ray-Ban, Oakley… et maintenant Prada !
    Alors voilà, Meta se lance dans une nouvelle aventure avec… Prada ! Après les lunettes […] Cet article Ray-Ban, Oakley… et maintenant Prada ! a été publié sur REALITE-VIRTUELLE.COM.
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  • Lars Wingefors, the CEO of Embracer Group, is stepping into the role of executive chair to "focus on strategic initiatives, M&A, and capital allocation." This move is both alarming and infuriating. Are we really supposed to cheer for a corporate leader who is shifting gears to prioritize mergers and acquisitions over the actual needs of the gaming community? It's absolutely maddening!

    Let’s break this down. Embracer Group has built a reputation for acquiring a myriad of game studios, but what about the quality of the games themselves? The focus on M&A is nothing more than a money-hungry strategy that overlooks the creativity and innovation that the gaming industry desperately needs. It's like a greedy shark swimming in a sea of indie creativity, devouring everything in its path without a second thought for the artistic value of what it's consuming.

    Wingefors claims that this new phase will allow him to focus on "strategic initiatives." What does that even mean? Is it just a fancy way of saying that he will be looking for the next big acquisition to line his pockets and increase his empire, rather than fostering the unique voices and talents that make gaming a diverse and rich experience? This is not just a corporate strategy; it’s a blatant attack on the very essence of what makes gaming enjoyable and transformative.

    Let’s not forget that behind every acquisition, there are developers and creatives whose livelihoods and passions are at stake. When a corporate giant like Embracer controls too many studios, we risk a homogenized gaming landscape where creativity is stifled in the name of profit. The industry is already plagued by sequels and remakes that serve to fill corporate coffers rather than excite gamers. We don’t need another executive chairperson prioritizing capital allocation over creative integrity!

    Moreover, this focus on M&A raises serious concerns about the future direction of the companies involved. Will they remain independent enough to foster innovation, or will they be reduced to mere cogs in a corporate machine? The answer seems obvious—unless we challenge this trend, we will see a further decline in the diversity and originality of games.

    Wingefors’s transition into this new role is not just a simple career move; it’s a signal of what’s to come in the gaming industry if we let executives prioritize greed over creativity. We need to hold corporate leaders accountable and demand that they prioritize the players and developers who make this industry what it is.

    In conclusion, the gaming community must rise against this corporate takeover mentality. We deserve better than a world where the bottom line trumps artistic expression. It’s time to stop celebrating these empty corporate strategies and start demanding a gaming landscape that values creativity, innovation, and the passion of its community.

    #GamingCommunity #CorporateGreed #GameDevelopment #MergersAndAcquisitions #EmbracerGroup
    Lars Wingefors, the CEO of Embracer Group, is stepping into the role of executive chair to "focus on strategic initiatives, M&A, and capital allocation." This move is both alarming and infuriating. Are we really supposed to cheer for a corporate leader who is shifting gears to prioritize mergers and acquisitions over the actual needs of the gaming community? It's absolutely maddening! Let’s break this down. Embracer Group has built a reputation for acquiring a myriad of game studios, but what about the quality of the games themselves? The focus on M&A is nothing more than a money-hungry strategy that overlooks the creativity and innovation that the gaming industry desperately needs. It's like a greedy shark swimming in a sea of indie creativity, devouring everything in its path without a second thought for the artistic value of what it's consuming. Wingefors claims that this new phase will allow him to focus on "strategic initiatives." What does that even mean? Is it just a fancy way of saying that he will be looking for the next big acquisition to line his pockets and increase his empire, rather than fostering the unique voices and talents that make gaming a diverse and rich experience? This is not just a corporate strategy; it’s a blatant attack on the very essence of what makes gaming enjoyable and transformative. Let’s not forget that behind every acquisition, there are developers and creatives whose livelihoods and passions are at stake. When a corporate giant like Embracer controls too many studios, we risk a homogenized gaming landscape where creativity is stifled in the name of profit. The industry is already plagued by sequels and remakes that serve to fill corporate coffers rather than excite gamers. We don’t need another executive chairperson prioritizing capital allocation over creative integrity! Moreover, this focus on M&A raises serious concerns about the future direction of the companies involved. Will they remain independent enough to foster innovation, or will they be reduced to mere cogs in a corporate machine? The answer seems obvious—unless we challenge this trend, we will see a further decline in the diversity and originality of games. Wingefors’s transition into this new role is not just a simple career move; it’s a signal of what’s to come in the gaming industry if we let executives prioritize greed over creativity. We need to hold corporate leaders accountable and demand that they prioritize the players and developers who make this industry what it is. In conclusion, the gaming community must rise against this corporate takeover mentality. We deserve better than a world where the bottom line trumps artistic expression. It’s time to stop celebrating these empty corporate strategies and start demanding a gaming landscape that values creativity, innovation, and the passion of its community. #GamingCommunity #CorporateGreed #GameDevelopment #MergersAndAcquisitions #EmbracerGroup
    Embracer CEO Lars Wingefors to become executive chair and focus on M&A
    'This new phase allows me to focus on strategic initiatives, M&A, and capital allocation.'
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  • Minecraft, le film! Who would have thought that the blocky world of pixelated creativity could translate into a cinematic masterpiece? Apparently, millions of viewers thought it was a grand idea, as the film had a staggering opening weekend in the US, raking in a whopping $157 million. Yes, you read that right - more than the Super Mario Bros movie. Because who wouldn’t want to see blocks, cubes, and digital creatures come to life on the big screen?

    Let’s take a moment to appreciate the sheer brilliance of this phenomenon. Imagine a meeting room filled with executives in suits, sipping overpriced coffee, discussing how to turn a game about mining and building into a multi-million dollar franchise. “What if we add a plot?” one visionary must have suggested. “And maybe some actual characters!” shouted another. Brilliant! Because nothing screams box office hit like a narrative about crafting and survival – the quintessential human experience, am I right?

    And while we’re at it, let’s not overlook the glorious irony of a massive online leak. One might think that a film like Minecraft, which is all about building and creating, would have safeguards against such breaches. Yet here we are, in a world where fans are more adept at finding leaks than creepers are at sneaking up on unsuspecting players. It’s as if the universe itself is saying, “Why wait for the official release when you can embrace the chaos of the internet?”

    Moreover, the film’s success raises an important question: is this the pinnacle of creativity, or just a sign that Hollywood has officially run out of ideas? After all, why bother developing original content when you can simply mine from the vast experiences of gamers? There’s a certain elegance to recycling beloved franchises; the nostalgia factor alone is worth millions. Let’s just hope that the next film adaptation is as riveting as watching a character gather resources for five hours straight.

    And speaking of adaptations, let’s give a nod to the directors and writers who managed to transform a game with virtually no plot into a cinematic sensation. If these individuals can take pixelated blocks and turn them into a story that captures the hearts of millions, perhaps we should hand them the keys to the next great literary classic. Who wouldn't want to see a film based on the riveting tale of a potato?

    In conclusion, Minecraft, le film is a remarkable testament to the state of modern cinema. It embodies the essence of our times: a blend of nostalgia, creativity, and a hint of desperation. So, grab your popcorn and enjoy the show, folks! Who knows what other game adaptations await us? Maybe Tetris will be next!

    #MinecraftMovie #HollywoodAdaptations #BlockbusterSuccess #CinemaIrony #NostalgiaInFilm
    Minecraft, le film! Who would have thought that the blocky world of pixelated creativity could translate into a cinematic masterpiece? Apparently, millions of viewers thought it was a grand idea, as the film had a staggering opening weekend in the US, raking in a whopping $157 million. Yes, you read that right - more than the Super Mario Bros movie. Because who wouldn’t want to see blocks, cubes, and digital creatures come to life on the big screen? Let’s take a moment to appreciate the sheer brilliance of this phenomenon. Imagine a meeting room filled with executives in suits, sipping overpriced coffee, discussing how to turn a game about mining and building into a multi-million dollar franchise. “What if we add a plot?” one visionary must have suggested. “And maybe some actual characters!” shouted another. Brilliant! Because nothing screams box office hit like a narrative about crafting and survival – the quintessential human experience, am I right? And while we’re at it, let’s not overlook the glorious irony of a massive online leak. One might think that a film like Minecraft, which is all about building and creating, would have safeguards against such breaches. Yet here we are, in a world where fans are more adept at finding leaks than creepers are at sneaking up on unsuspecting players. It’s as if the universe itself is saying, “Why wait for the official release when you can embrace the chaos of the internet?” Moreover, the film’s success raises an important question: is this the pinnacle of creativity, or just a sign that Hollywood has officially run out of ideas? After all, why bother developing original content when you can simply mine from the vast experiences of gamers? There’s a certain elegance to recycling beloved franchises; the nostalgia factor alone is worth millions. Let’s just hope that the next film adaptation is as riveting as watching a character gather resources for five hours straight. And speaking of adaptations, let’s give a nod to the directors and writers who managed to transform a game with virtually no plot into a cinematic sensation. If these individuals can take pixelated blocks and turn them into a story that captures the hearts of millions, perhaps we should hand them the keys to the next great literary classic. Who wouldn't want to see a film based on the riveting tale of a potato? In conclusion, Minecraft, le film is a remarkable testament to the state of modern cinema. It embodies the essence of our times: a blend of nostalgia, creativity, and a hint of desperation. So, grab your popcorn and enjoy the show, folks! Who knows what other game adaptations await us? Maybe Tetris will be next! #MinecraftMovie #HollywoodAdaptations #BlockbusterSuccess #CinemaIrony #NostalgiaInFilm
    Minecraft, le film : succès massif et fuite en ligne
    C’est un carton ! Minecraft, le film, qui adapte au cinéma le célèbre jeu vidéo, a débarqué ce week-end dans le salles américaines. A la clé, le meilleur démarrage de l’année, avec des recettes estimées à 157 millions de dollars aux USA.
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  • Ankur Kothari Q&A: Customer Engagement Book Interview

    Reading Time: 9 minutes
    In marketing, data isn’t a buzzword. It’s the lifeblood of all successful campaigns.
    But are you truly harnessing its power, or are you drowning in a sea of information? To answer this question, we sat down with Ankur Kothari, a seasoned Martech expert, to dive deep into this crucial topic.
    This interview, originally conducted for Chapter 6 of “The Customer Engagement Book: Adapt or Die” explores how businesses can translate raw data into actionable insights that drive real results.
    Ankur shares his wealth of knowledge on identifying valuable customer engagement data, distinguishing between signal and noise, and ultimately, shaping real-time strategies that keep companies ahead of the curve.

     
    Ankur Kothari Q&A Interview
    1. What types of customer engagement data are most valuable for making strategic business decisions?
    Primarily, there are four different buckets of customer engagement data. I would begin with behavioral data, encompassing website interaction, purchase history, and other app usage patterns.
    Second would be demographic information: age, location, income, and other relevant personal characteristics.
    Third would be sentiment analysis, where we derive information from social media interaction, customer feedback, or other customer reviews.
    Fourth would be the customer journey data.

    We track touchpoints across various channels of the customers to understand the customer journey path and conversion. Combining these four primary sources helps us understand the engagement data.

    2. How do you distinguish between data that is actionable versus data that is just noise?
    First is keeping relevant to your business objectives, making actionable data that directly relates to your specific goals or KPIs, and then taking help from statistical significance.
    Actionable data shows clear patterns or trends that are statistically valid, whereas other data consists of random fluctuations or outliers, which may not be what you are interested in.

    You also want to make sure that there is consistency across sources.
    Actionable insights are typically corroborated by multiple data points or channels, while other data or noise can be more isolated and contradictory.
    Actionable data suggests clear opportunities for improvement or decision making, whereas noise does not lead to meaningful actions or changes in strategy.

    By applying these criteria, I can effectively filter out the noise and focus on data that delivers or drives valuable business decisions.

    3. How can customer engagement data be used to identify and prioritize new business opportunities?
    First, it helps us to uncover unmet needs.

    By analyzing the customer feedback, touch points, support interactions, or usage patterns, we can identify the gaps in our current offerings or areas where customers are experiencing pain points.

    Second would be identifying emerging needs.
    Monitoring changes in customer behavior or preferences over time can reveal new market trends or shifts in demand, allowing my company to adapt their products or services accordingly.
    Third would be segmentation analysis.
    Detailed customer data analysis enables us to identify unserved or underserved segments or niche markets that may represent untapped opportunities for growth or expansion into newer areas and new geographies.
    Last is to build competitive differentiation.

    Engagement data can highlight where our companies outperform competitors, helping us to prioritize opportunities that leverage existing strengths and unique selling propositions.

    4. Can you share an example of where data insights directly influenced a critical decision?
    I will share an example from my previous organization at one of the financial services where we were very data-driven, which made a major impact on our critical decision regarding our credit card offerings.
    We analyzed the customer engagement data, and we discovered that a large segment of our millennial customers were underutilizing our traditional credit cards but showed high engagement with mobile payment platforms.
    That insight led us to develop and launch our first digital credit card product with enhanced mobile features and rewards tailored to the millennial spending habits. Since we had access to a lot of transactional data as well, we were able to build a financial product which met that specific segment’s needs.

    That data-driven decision resulted in a 40% increase in our new credit card applications from this demographic within the first quarter of the launch. Subsequently, our market share improved in that specific segment, which was very crucial.

    5. Are there any other examples of ways that you see customer engagement data being able to shape marketing strategy in real time?
    When it comes to using the engagement data in real-time, we do quite a few things. In the recent past two, three years, we are using that for dynamic content personalization, adjusting the website content, email messaging, or ad creative based on real-time user behavior and preferences.
    We automate campaign optimization using specific AI-driven tools to continuously analyze performance metrics and automatically reallocate the budget to top-performing channels or ad segments.
    Then we also build responsive social media engagement platforms like monitoring social media sentiments and trending topics to quickly adapt the messaging and create timely and relevant content.

    With one-on-one personalization, we do a lot of A/B testing as part of the overall rapid testing and market elements like subject lines, CTAs, and building various successful variants of the campaigns.

    6. How are you doing the 1:1 personalization?
    We have advanced CDP systems, and we are tracking each customer’s behavior in real-time. So the moment they move to different channels, we know what the context is, what the relevance is, and the recent interaction points, so we can cater the right offer.
    So for example, if you looked at a certain offer on the website and you came from Google, and then the next day you walk into an in-person interaction, our agent will already know that you were looking at that offer.
    That gives our customer or potential customer more one-to-one personalization instead of just segment-based or bulk interaction kind of experience.

    We have a huge team of data scientists, data analysts, and AI model creators who help us to analyze big volumes of data and bring the right insights to our marketing and sales team so that they can provide the right experience to our customers.

    7. What role does customer engagement data play in influencing cross-functional decisions, such as with product development, sales, and customer service?
    Primarily with product development — we have different products, not just the financial products or products whichever organizations sell, but also various products like mobile apps or websites they use for transactions. So that kind of product development gets improved.
    The engagement data helps our sales and marketing teams create more targeted campaigns, optimize channel selection, and refine messaging to resonate with specific customer segments.

    Customer service also gets helped by anticipating common issues, personalizing support interactions over the phone or email or chat, and proactively addressing potential problems, leading to improved customer satisfaction and retention.

    So in general, cross-functional application of engagement improves the customer-centric approach throughout the organization.

    8. What do you think some of the main challenges marketers face when trying to translate customer engagement data into actionable business insights?
    I think the huge amount of data we are dealing with. As we are getting more digitally savvy and most of the customers are moving to digital channels, we are getting a lot of data, and that sheer volume of data can be overwhelming, making it very difficult to identify truly meaningful patterns and insights.

    Because of the huge data overload, we create data silos in this process, so information often exists in separate systems across different departments. We are not able to build a holistic view of customer engagement.

    Because of data silos and overload of data, data quality issues appear. There is inconsistency, and inaccurate data can lead to incorrect insights or poor decision-making. Quality issues could also be due to the wrong format of the data, or the data is stale and no longer relevant.
    As we are growing and adding more people to help us understand customer engagement, I’ve also noticed that technical folks, especially data scientists and data analysts, lack skills to properly interpret the data or apply data insights effectively.
    So there’s a lack of understanding of marketing and sales as domains.
    It’s a huge effort and can take a lot of investment.

    Not being able to calculate the ROI of your overall investment is a big challenge that many organizations are facing.

    9. Why do you think the analysts don’t have the business acumen to properly do more than analyze the data?
    If people do not have the right idea of why we are collecting this data, we collect a lot of noise, and that brings in huge volumes of data. If you cannot stop that from step one—not bringing noise into the data system—that cannot be done by just technical folks or people who do not have business knowledge.
    Business people do not know everything about what data is being collected from which source and what data they need. It’s a gap between business domain knowledge, specifically marketing and sales needs, and technical folks who don’t have a lot of exposure to that side.

    Similarly, marketing business people do not have much exposure to the technical side — what’s possible to do with data, how much effort it takes, what’s relevant versus not relevant, and how to prioritize which data sources will be most important.

    10. Do you have any suggestions for how this can be overcome, or have you seen it in action where it has been solved before?
    First, cross-functional training: training different roles to help them understand why we’re doing this and what the business goals are, giving technical people exposure to what marketing and sales teams do.
    And giving business folks exposure to the technology side through training on different tools, strategies, and the roadmap of data integrations.
    The second is helping teams work more collaboratively. So it’s not like the technology team works in a silo and comes back when their work is done, and then marketing and sales teams act upon it.

    Now we’re making it more like one team. You work together so that you can complement each other, and we have a better strategy from day one.

    11. How do you address skepticism or resistance from stakeholders when presenting data-driven recommendations?
    We present clear business cases where we demonstrate how data-driven recommendations can directly align with business objectives and potential ROI.
    We build compelling visualizations, easy-to-understand charts and graphs that clearly illustrate the insights and the implications for business goals.

    We also do a lot of POCs and pilot projects with small-scale implementations to showcase tangible results and build confidence in the data-driven approach throughout the organization.

    12. What technologies or tools have you found most effective for gathering and analyzing customer engagement data?
    I’ve found that Customer Data Platforms help us unify customer data from various sources, providing a comprehensive view of customer interactions across touch points.
    Having advanced analytics platforms — tools with AI and machine learning capabilities that can process large volumes of data and uncover complex patterns and insights — is a great value to us.
    We always use, or many organizations use, marketing automation systems to improve marketing team productivity, helping us track and analyze customer interactions across multiple channels.
    Another thing is social media listening tools, wherever your brand is mentioned or you want to measure customer sentiment over social media, or track the engagement of your campaigns across social media platforms.

    Last is web analytical tools, which provide detailed insights into your website visitors’ behaviors and engagement metrics, for browser apps, small browser apps, various devices, and mobile apps.

    13. How do you ensure data quality and consistency across multiple channels to make these informed decisions?
    We established clear guidelines for data collection, storage, and usage across all channels to maintain consistency. Then we use data integration platforms — tools that consolidate data from various sources into a single unified view, reducing discrepancies and inconsistencies.
    While we collect data from different sources, we clean the data so it becomes cleaner with every stage of processing.
    We also conduct regular data audits — performing periodic checks to identify and rectify data quality issues, ensuring accuracy and reliability of information. We also deploy standardized data formats.

    On top of that, we have various automated data cleansing tools, specific software to detect and correct data errors, redundancies, duplicates, and inconsistencies in data sets automatically.

    14. How do you see the role of customer engagement data evolving in shaping business strategies over the next five years?
    The first thing that’s been the biggest trend from the past two years is AI-driven decision making, which I think will become more prevalent, with advanced algorithms processing vast amounts of engagement data in real-time to inform strategic choices.
    Somewhat related to this is predictive analytics, which will play an even larger role, enabling businesses to anticipate customer needs and market trends with more accuracy and better predictive capabilities.
    We also touched upon hyper-personalization. We are all trying to strive toward more hyper-personalization at scale, which is more one-on-one personalization, as we are increasingly capturing more engagement data and have bigger systems and infrastructure to support processing those large volumes of data so we can achieve those hyper-personalization use cases.
    As the world is collecting more data, privacy concerns and regulations come into play.
    I believe in the next few years there will be more innovation toward how businesses can collect data ethically and what the usage practices are, leading to more transparent and consent-based engagement data strategies.
    And lastly, I think about the integration of engagement data, which is always a big challenge. I believe as we’re solving those integration challenges, we are adding more and more complex data sources to the picture.

    So I think there will need to be more innovation or sophistication brought into data integration strategies, which will help us take a truly customer-centric approach to strategy formulation.

     
    This interview Q&A was hosted with Ankur Kothari, a previous Martech Executive, for Chapter 6 of The Customer Engagement Book: Adapt or Die.
    Download the PDF or request a physical copy of the book here.
    The post Ankur Kothari Q&A: Customer Engagement Book Interview appeared first on MoEngage.
    #ankur #kothari #qampampa #customer #engagement
    Ankur Kothari Q&A: Customer Engagement Book Interview
    Reading Time: 9 minutes In marketing, data isn’t a buzzword. It’s the lifeblood of all successful campaigns. But are you truly harnessing its power, or are you drowning in a sea of information? To answer this question, we sat down with Ankur Kothari, a seasoned Martech expert, to dive deep into this crucial topic. This interview, originally conducted for Chapter 6 of “The Customer Engagement Book: Adapt or Die” explores how businesses can translate raw data into actionable insights that drive real results. Ankur shares his wealth of knowledge on identifying valuable customer engagement data, distinguishing between signal and noise, and ultimately, shaping real-time strategies that keep companies ahead of the curve.   Ankur Kothari Q&A Interview 1. What types of customer engagement data are most valuable for making strategic business decisions? Primarily, there are four different buckets of customer engagement data. I would begin with behavioral data, encompassing website interaction, purchase history, and other app usage patterns. Second would be demographic information: age, location, income, and other relevant personal characteristics. Third would be sentiment analysis, where we derive information from social media interaction, customer feedback, or other customer reviews. Fourth would be the customer journey data. We track touchpoints across various channels of the customers to understand the customer journey path and conversion. Combining these four primary sources helps us understand the engagement data. 2. How do you distinguish between data that is actionable versus data that is just noise? First is keeping relevant to your business objectives, making actionable data that directly relates to your specific goals or KPIs, and then taking help from statistical significance. Actionable data shows clear patterns or trends that are statistically valid, whereas other data consists of random fluctuations or outliers, which may not be what you are interested in. You also want to make sure that there is consistency across sources. Actionable insights are typically corroborated by multiple data points or channels, while other data or noise can be more isolated and contradictory. Actionable data suggests clear opportunities for improvement or decision making, whereas noise does not lead to meaningful actions or changes in strategy. By applying these criteria, I can effectively filter out the noise and focus on data that delivers or drives valuable business decisions. 3. How can customer engagement data be used to identify and prioritize new business opportunities? First, it helps us to uncover unmet needs. By analyzing the customer feedback, touch points, support interactions, or usage patterns, we can identify the gaps in our current offerings or areas where customers are experiencing pain points. Second would be identifying emerging needs. Monitoring changes in customer behavior or preferences over time can reveal new market trends or shifts in demand, allowing my company to adapt their products or services accordingly. Third would be segmentation analysis. Detailed customer data analysis enables us to identify unserved or underserved segments or niche markets that may represent untapped opportunities for growth or expansion into newer areas and new geographies. Last is to build competitive differentiation. Engagement data can highlight where our companies outperform competitors, helping us to prioritize opportunities that leverage existing strengths and unique selling propositions. 4. Can you share an example of where data insights directly influenced a critical decision? I will share an example from my previous organization at one of the financial services where we were very data-driven, which made a major impact on our critical decision regarding our credit card offerings. We analyzed the customer engagement data, and we discovered that a large segment of our millennial customers were underutilizing our traditional credit cards but showed high engagement with mobile payment platforms. That insight led us to develop and launch our first digital credit card product with enhanced mobile features and rewards tailored to the millennial spending habits. Since we had access to a lot of transactional data as well, we were able to build a financial product which met that specific segment’s needs. That data-driven decision resulted in a 40% increase in our new credit card applications from this demographic within the first quarter of the launch. Subsequently, our market share improved in that specific segment, which was very crucial. 5. Are there any other examples of ways that you see customer engagement data being able to shape marketing strategy in real time? When it comes to using the engagement data in real-time, we do quite a few things. In the recent past two, three years, we are using that for dynamic content personalization, adjusting the website content, email messaging, or ad creative based on real-time user behavior and preferences. We automate campaign optimization using specific AI-driven tools to continuously analyze performance metrics and automatically reallocate the budget to top-performing channels or ad segments. Then we also build responsive social media engagement platforms like monitoring social media sentiments and trending topics to quickly adapt the messaging and create timely and relevant content. With one-on-one personalization, we do a lot of A/B testing as part of the overall rapid testing and market elements like subject lines, CTAs, and building various successful variants of the campaigns. 6. How are you doing the 1:1 personalization? We have advanced CDP systems, and we are tracking each customer’s behavior in real-time. So the moment they move to different channels, we know what the context is, what the relevance is, and the recent interaction points, so we can cater the right offer. So for example, if you looked at a certain offer on the website and you came from Google, and then the next day you walk into an in-person interaction, our agent will already know that you were looking at that offer. That gives our customer or potential customer more one-to-one personalization instead of just segment-based or bulk interaction kind of experience. We have a huge team of data scientists, data analysts, and AI model creators who help us to analyze big volumes of data and bring the right insights to our marketing and sales team so that they can provide the right experience to our customers. 7. What role does customer engagement data play in influencing cross-functional decisions, such as with product development, sales, and customer service? Primarily with product development — we have different products, not just the financial products or products whichever organizations sell, but also various products like mobile apps or websites they use for transactions. So that kind of product development gets improved. The engagement data helps our sales and marketing teams create more targeted campaigns, optimize channel selection, and refine messaging to resonate with specific customer segments. Customer service also gets helped by anticipating common issues, personalizing support interactions over the phone or email or chat, and proactively addressing potential problems, leading to improved customer satisfaction and retention. So in general, cross-functional application of engagement improves the customer-centric approach throughout the organization. 8. What do you think some of the main challenges marketers face when trying to translate customer engagement data into actionable business insights? I think the huge amount of data we are dealing with. As we are getting more digitally savvy and most of the customers are moving to digital channels, we are getting a lot of data, and that sheer volume of data can be overwhelming, making it very difficult to identify truly meaningful patterns and insights. Because of the huge data overload, we create data silos in this process, so information often exists in separate systems across different departments. We are not able to build a holistic view of customer engagement. Because of data silos and overload of data, data quality issues appear. There is inconsistency, and inaccurate data can lead to incorrect insights or poor decision-making. Quality issues could also be due to the wrong format of the data, or the data is stale and no longer relevant. As we are growing and adding more people to help us understand customer engagement, I’ve also noticed that technical folks, especially data scientists and data analysts, lack skills to properly interpret the data or apply data insights effectively. So there’s a lack of understanding of marketing and sales as domains. It’s a huge effort and can take a lot of investment. Not being able to calculate the ROI of your overall investment is a big challenge that many organizations are facing. 9. Why do you think the analysts don’t have the business acumen to properly do more than analyze the data? If people do not have the right idea of why we are collecting this data, we collect a lot of noise, and that brings in huge volumes of data. If you cannot stop that from step one—not bringing noise into the data system—that cannot be done by just technical folks or people who do not have business knowledge. Business people do not know everything about what data is being collected from which source and what data they need. It’s a gap between business domain knowledge, specifically marketing and sales needs, and technical folks who don’t have a lot of exposure to that side. Similarly, marketing business people do not have much exposure to the technical side — what’s possible to do with data, how much effort it takes, what’s relevant versus not relevant, and how to prioritize which data sources will be most important. 10. Do you have any suggestions for how this can be overcome, or have you seen it in action where it has been solved before? First, cross-functional training: training different roles to help them understand why we’re doing this and what the business goals are, giving technical people exposure to what marketing and sales teams do. And giving business folks exposure to the technology side through training on different tools, strategies, and the roadmap of data integrations. The second is helping teams work more collaboratively. So it’s not like the technology team works in a silo and comes back when their work is done, and then marketing and sales teams act upon it. Now we’re making it more like one team. You work together so that you can complement each other, and we have a better strategy from day one. 11. How do you address skepticism or resistance from stakeholders when presenting data-driven recommendations? We present clear business cases where we demonstrate how data-driven recommendations can directly align with business objectives and potential ROI. We build compelling visualizations, easy-to-understand charts and graphs that clearly illustrate the insights and the implications for business goals. We also do a lot of POCs and pilot projects with small-scale implementations to showcase tangible results and build confidence in the data-driven approach throughout the organization. 12. What technologies or tools have you found most effective for gathering and analyzing customer engagement data? I’ve found that Customer Data Platforms help us unify customer data from various sources, providing a comprehensive view of customer interactions across touch points. Having advanced analytics platforms — tools with AI and machine learning capabilities that can process large volumes of data and uncover complex patterns and insights — is a great value to us. We always use, or many organizations use, marketing automation systems to improve marketing team productivity, helping us track and analyze customer interactions across multiple channels. Another thing is social media listening tools, wherever your brand is mentioned or you want to measure customer sentiment over social media, or track the engagement of your campaigns across social media platforms. Last is web analytical tools, which provide detailed insights into your website visitors’ behaviors and engagement metrics, for browser apps, small browser apps, various devices, and mobile apps. 13. How do you ensure data quality and consistency across multiple channels to make these informed decisions? We established clear guidelines for data collection, storage, and usage across all channels to maintain consistency. Then we use data integration platforms — tools that consolidate data from various sources into a single unified view, reducing discrepancies and inconsistencies. While we collect data from different sources, we clean the data so it becomes cleaner with every stage of processing. We also conduct regular data audits — performing periodic checks to identify and rectify data quality issues, ensuring accuracy and reliability of information. We also deploy standardized data formats. On top of that, we have various automated data cleansing tools, specific software to detect and correct data errors, redundancies, duplicates, and inconsistencies in data sets automatically. 14. How do you see the role of customer engagement data evolving in shaping business strategies over the next five years? The first thing that’s been the biggest trend from the past two years is AI-driven decision making, which I think will become more prevalent, with advanced algorithms processing vast amounts of engagement data in real-time to inform strategic choices. Somewhat related to this is predictive analytics, which will play an even larger role, enabling businesses to anticipate customer needs and market trends with more accuracy and better predictive capabilities. We also touched upon hyper-personalization. We are all trying to strive toward more hyper-personalization at scale, which is more one-on-one personalization, as we are increasingly capturing more engagement data and have bigger systems and infrastructure to support processing those large volumes of data so we can achieve those hyper-personalization use cases. As the world is collecting more data, privacy concerns and regulations come into play. I believe in the next few years there will be more innovation toward how businesses can collect data ethically and what the usage practices are, leading to more transparent and consent-based engagement data strategies. And lastly, I think about the integration of engagement data, which is always a big challenge. I believe as we’re solving those integration challenges, we are adding more and more complex data sources to the picture. So I think there will need to be more innovation or sophistication brought into data integration strategies, which will help us take a truly customer-centric approach to strategy formulation.   This interview Q&A was hosted with Ankur Kothari, a previous Martech Executive, for Chapter 6 of The Customer Engagement Book: Adapt or Die. Download the PDF or request a physical copy of the book here. The post Ankur Kothari Q&A: Customer Engagement Book Interview appeared first on MoEngage. #ankur #kothari #qampampa #customer #engagement
    WWW.MOENGAGE.COM
    Ankur Kothari Q&A: Customer Engagement Book Interview
    Reading Time: 9 minutes In marketing, data isn’t a buzzword. It’s the lifeblood of all successful campaigns. But are you truly harnessing its power, or are you drowning in a sea of information? To answer this question (and many others), we sat down with Ankur Kothari, a seasoned Martech expert, to dive deep into this crucial topic. This interview, originally conducted for Chapter 6 of “The Customer Engagement Book: Adapt or Die” explores how businesses can translate raw data into actionable insights that drive real results. Ankur shares his wealth of knowledge on identifying valuable customer engagement data, distinguishing between signal and noise, and ultimately, shaping real-time strategies that keep companies ahead of the curve.   Ankur Kothari Q&A Interview 1. What types of customer engagement data are most valuable for making strategic business decisions? Primarily, there are four different buckets of customer engagement data. I would begin with behavioral data, encompassing website interaction, purchase history, and other app usage patterns. Second would be demographic information: age, location, income, and other relevant personal characteristics. Third would be sentiment analysis, where we derive information from social media interaction, customer feedback, or other customer reviews. Fourth would be the customer journey data. We track touchpoints across various channels of the customers to understand the customer journey path and conversion. Combining these four primary sources helps us understand the engagement data. 2. How do you distinguish between data that is actionable versus data that is just noise? First is keeping relevant to your business objectives, making actionable data that directly relates to your specific goals or KPIs, and then taking help from statistical significance. Actionable data shows clear patterns or trends that are statistically valid, whereas other data consists of random fluctuations or outliers, which may not be what you are interested in. You also want to make sure that there is consistency across sources. Actionable insights are typically corroborated by multiple data points or channels, while other data or noise can be more isolated and contradictory. Actionable data suggests clear opportunities for improvement or decision making, whereas noise does not lead to meaningful actions or changes in strategy. By applying these criteria, I can effectively filter out the noise and focus on data that delivers or drives valuable business decisions. 3. How can customer engagement data be used to identify and prioritize new business opportunities? First, it helps us to uncover unmet needs. By analyzing the customer feedback, touch points, support interactions, or usage patterns, we can identify the gaps in our current offerings or areas where customers are experiencing pain points. Second would be identifying emerging needs. Monitoring changes in customer behavior or preferences over time can reveal new market trends or shifts in demand, allowing my company to adapt their products or services accordingly. Third would be segmentation analysis. Detailed customer data analysis enables us to identify unserved or underserved segments or niche markets that may represent untapped opportunities for growth or expansion into newer areas and new geographies. Last is to build competitive differentiation. Engagement data can highlight where our companies outperform competitors, helping us to prioritize opportunities that leverage existing strengths and unique selling propositions. 4. Can you share an example of where data insights directly influenced a critical decision? I will share an example from my previous organization at one of the financial services where we were very data-driven, which made a major impact on our critical decision regarding our credit card offerings. We analyzed the customer engagement data, and we discovered that a large segment of our millennial customers were underutilizing our traditional credit cards but showed high engagement with mobile payment platforms. That insight led us to develop and launch our first digital credit card product with enhanced mobile features and rewards tailored to the millennial spending habits. Since we had access to a lot of transactional data as well, we were able to build a financial product which met that specific segment’s needs. That data-driven decision resulted in a 40% increase in our new credit card applications from this demographic within the first quarter of the launch. Subsequently, our market share improved in that specific segment, which was very crucial. 5. Are there any other examples of ways that you see customer engagement data being able to shape marketing strategy in real time? When it comes to using the engagement data in real-time, we do quite a few things. In the recent past two, three years, we are using that for dynamic content personalization, adjusting the website content, email messaging, or ad creative based on real-time user behavior and preferences. We automate campaign optimization using specific AI-driven tools to continuously analyze performance metrics and automatically reallocate the budget to top-performing channels or ad segments. Then we also build responsive social media engagement platforms like monitoring social media sentiments and trending topics to quickly adapt the messaging and create timely and relevant content. With one-on-one personalization, we do a lot of A/B testing as part of the overall rapid testing and market elements like subject lines, CTAs, and building various successful variants of the campaigns. 6. How are you doing the 1:1 personalization? We have advanced CDP systems, and we are tracking each customer’s behavior in real-time. So the moment they move to different channels, we know what the context is, what the relevance is, and the recent interaction points, so we can cater the right offer. So for example, if you looked at a certain offer on the website and you came from Google, and then the next day you walk into an in-person interaction, our agent will already know that you were looking at that offer. That gives our customer or potential customer more one-to-one personalization instead of just segment-based or bulk interaction kind of experience. We have a huge team of data scientists, data analysts, and AI model creators who help us to analyze big volumes of data and bring the right insights to our marketing and sales team so that they can provide the right experience to our customers. 7. What role does customer engagement data play in influencing cross-functional decisions, such as with product development, sales, and customer service? Primarily with product development — we have different products, not just the financial products or products whichever organizations sell, but also various products like mobile apps or websites they use for transactions. So that kind of product development gets improved. The engagement data helps our sales and marketing teams create more targeted campaigns, optimize channel selection, and refine messaging to resonate with specific customer segments. Customer service also gets helped by anticipating common issues, personalizing support interactions over the phone or email or chat, and proactively addressing potential problems, leading to improved customer satisfaction and retention. So in general, cross-functional application of engagement improves the customer-centric approach throughout the organization. 8. What do you think some of the main challenges marketers face when trying to translate customer engagement data into actionable business insights? I think the huge amount of data we are dealing with. As we are getting more digitally savvy and most of the customers are moving to digital channels, we are getting a lot of data, and that sheer volume of data can be overwhelming, making it very difficult to identify truly meaningful patterns and insights. Because of the huge data overload, we create data silos in this process, so information often exists in separate systems across different departments. We are not able to build a holistic view of customer engagement. Because of data silos and overload of data, data quality issues appear. There is inconsistency, and inaccurate data can lead to incorrect insights or poor decision-making. Quality issues could also be due to the wrong format of the data, or the data is stale and no longer relevant. As we are growing and adding more people to help us understand customer engagement, I’ve also noticed that technical folks, especially data scientists and data analysts, lack skills to properly interpret the data or apply data insights effectively. So there’s a lack of understanding of marketing and sales as domains. It’s a huge effort and can take a lot of investment. Not being able to calculate the ROI of your overall investment is a big challenge that many organizations are facing. 9. Why do you think the analysts don’t have the business acumen to properly do more than analyze the data? If people do not have the right idea of why we are collecting this data, we collect a lot of noise, and that brings in huge volumes of data. If you cannot stop that from step one—not bringing noise into the data system—that cannot be done by just technical folks or people who do not have business knowledge. Business people do not know everything about what data is being collected from which source and what data they need. It’s a gap between business domain knowledge, specifically marketing and sales needs, and technical folks who don’t have a lot of exposure to that side. Similarly, marketing business people do not have much exposure to the technical side — what’s possible to do with data, how much effort it takes, what’s relevant versus not relevant, and how to prioritize which data sources will be most important. 10. Do you have any suggestions for how this can be overcome, or have you seen it in action where it has been solved before? First, cross-functional training: training different roles to help them understand why we’re doing this and what the business goals are, giving technical people exposure to what marketing and sales teams do. And giving business folks exposure to the technology side through training on different tools, strategies, and the roadmap of data integrations. The second is helping teams work more collaboratively. So it’s not like the technology team works in a silo and comes back when their work is done, and then marketing and sales teams act upon it. Now we’re making it more like one team. You work together so that you can complement each other, and we have a better strategy from day one. 11. How do you address skepticism or resistance from stakeholders when presenting data-driven recommendations? We present clear business cases where we demonstrate how data-driven recommendations can directly align with business objectives and potential ROI. We build compelling visualizations, easy-to-understand charts and graphs that clearly illustrate the insights and the implications for business goals. We also do a lot of POCs and pilot projects with small-scale implementations to showcase tangible results and build confidence in the data-driven approach throughout the organization. 12. What technologies or tools have you found most effective for gathering and analyzing customer engagement data? I’ve found that Customer Data Platforms help us unify customer data from various sources, providing a comprehensive view of customer interactions across touch points. Having advanced analytics platforms — tools with AI and machine learning capabilities that can process large volumes of data and uncover complex patterns and insights — is a great value to us. We always use, or many organizations use, marketing automation systems to improve marketing team productivity, helping us track and analyze customer interactions across multiple channels. Another thing is social media listening tools, wherever your brand is mentioned or you want to measure customer sentiment over social media, or track the engagement of your campaigns across social media platforms. Last is web analytical tools, which provide detailed insights into your website visitors’ behaviors and engagement metrics, for browser apps, small browser apps, various devices, and mobile apps. 13. How do you ensure data quality and consistency across multiple channels to make these informed decisions? We established clear guidelines for data collection, storage, and usage across all channels to maintain consistency. Then we use data integration platforms — tools that consolidate data from various sources into a single unified view, reducing discrepancies and inconsistencies. While we collect data from different sources, we clean the data so it becomes cleaner with every stage of processing. We also conduct regular data audits — performing periodic checks to identify and rectify data quality issues, ensuring accuracy and reliability of information. We also deploy standardized data formats. On top of that, we have various automated data cleansing tools, specific software to detect and correct data errors, redundancies, duplicates, and inconsistencies in data sets automatically. 14. How do you see the role of customer engagement data evolving in shaping business strategies over the next five years? The first thing that’s been the biggest trend from the past two years is AI-driven decision making, which I think will become more prevalent, with advanced algorithms processing vast amounts of engagement data in real-time to inform strategic choices. Somewhat related to this is predictive analytics, which will play an even larger role, enabling businesses to anticipate customer needs and market trends with more accuracy and better predictive capabilities. We also touched upon hyper-personalization. We are all trying to strive toward more hyper-personalization at scale, which is more one-on-one personalization, as we are increasingly capturing more engagement data and have bigger systems and infrastructure to support processing those large volumes of data so we can achieve those hyper-personalization use cases. As the world is collecting more data, privacy concerns and regulations come into play. I believe in the next few years there will be more innovation toward how businesses can collect data ethically and what the usage practices are, leading to more transparent and consent-based engagement data strategies. And lastly, I think about the integration of engagement data, which is always a big challenge. I believe as we’re solving those integration challenges, we are adding more and more complex data sources to the picture. So I think there will need to be more innovation or sophistication brought into data integration strategies, which will help us take a truly customer-centric approach to strategy formulation.   This interview Q&A was hosted with Ankur Kothari, a previous Martech Executive, for Chapter 6 of The Customer Engagement Book: Adapt or Die. Download the PDF or request a physical copy of the book here. The post Ankur Kothari Q&A: Customer Engagement Book Interview appeared first on MoEngage.
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  • The Army’s Newest Recruits: Tech Execs From Meta, OpenAI and More

    Silicon Valley executives are joining a new innovation corps in the Army Reserve.
    #armys #newest #recruits #tech #execs
    The Army’s Newest Recruits: Tech Execs From Meta, OpenAI and More
    Silicon Valley executives are joining a new innovation corps in the Army Reserve. #armys #newest #recruits #tech #execs
    WWW.WSJ.COM
    The Army’s Newest Recruits: Tech Execs From Meta, OpenAI and More
    Silicon Valley executives are joining a new innovation corps in the Army Reserve.
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  • Government ditches public sector decarbonisation scheme

    The government has axed a scheme for upgrading energy efficiency in public sector buildings.
    The Public Sector Decarbonisation Schemedelivered more than £2.5bn in its first three phases for measures such as heat pumps, solar panels, insulation and double glazing, with further funding of nearly £1bn recently announced.
    But the Department for Energy Security and Net Zerohas told Building Design that the scheme has been dropped after the spending review, leaving uncertainty about how upgrades will be funded when the current phase expires in 2028.

    Source: UK Government/FlickrEd Miliband’s Department for Energy Security and Net Zero is responsible for the scheme
    The department said it would set out plans for the period after 2028 in due course.
    In a post on LinkedIn, Dave Welkin, director of sustainability at Gleeds, said he had waited for the release of the spending review with a “sense of trepidation” and was unable to find mention of public sector decarbonisation when Treasury documents were released.
    “I hoped because it was already committed in the Budget that its omission wasn’t ominous,” he wrote.
    Yesterday, he was told by Salix Finance, the non-departmental public body that delivers funding for the scheme, that it was no longer being funded.
    It comes after the withdrawal of funding for the Low Carbon Skills Fundin May.
    According to the government’s website, PSDS and LCSF were intended to support the reduction of emissions from public sector buildings by 75% by 2037, compared to a 2017 baseline.
    “Neither LCSF or PSDS were perfect by any means, but they did provide a vital source of funding for local authorities, hospitals, schools and many other public sector organisations to save energy, carbon and money,” Welkin said.
    “PSDS has helped replace failed heating systems in schools, keeping students warm. It’s replaced roofs on hospitals, helping patients recover from illness. It’s replaced windows in our prisons, improving security and stopping drugs getting behind bars.”
    However, responding to Welkin’s post, Steve Connolly, chief executive at Arriba Technologies, a low carbon heating and cooling firm, said that the scheme was being “mismanaged” with a small number of professional services firms “scooping up disproportionately large grants for their clients”.
    The fourth phase of the scheme was confirmed last September, with allocations confirmed only last month.
    This latest phase, which covers the financial years between 2025/26 and 2027/28, saw the distribution of £940m across the country.
    A DESNZ spokesperson said: “Our settlement is about investing in Britain’s renewal to create energy security, sprint to clean power by 2030, encourage investment, create jobs and bring down bills for good.
    “We will deliver £1bn in current allocations of the Public Sector Decarbonisation Scheme until 2028 and, through Great British Energy, have invested in new rooftop solar power and renewable schemes to lower energy bills for schools and hospitals across the UK.
    “We want to build on this progress by incentivising the public sector to decarbonise, so they can reap the benefits in lower bills and emissions, sharing best practice across government and exploring the use of repayable finance, where appropriate.”
    A government assessment of phase 3a and 3b projects identified a number of issues with the scheme, including delays and cost inflation, with more than a tenth being abandoned subsequent to grants being offered.
    Stakeholders interviewed for the report also identified “difficulties in obtaining skilled contractors and equipment”, especially air source heat pumps.
    The first come first served approach to awarding funding was also said to be “encouraging applicants to opt for more straightforward projects” and “potentially undermining the achievement of PSDS objective by restricting the opportunity for largermore complex measures which may have delivered greater carbon reduction benefits”.
    But the consensus among stakeholders and industry representatives interviewed for the report was that the scheme was “currently key to sustaining the existing UK heat pump market” and that it was “seen as vital in enabling many public sector organisations to invest in heat decarbonisation”.
    #government #ditches #public #sector #decarbonisation
    Government ditches public sector decarbonisation scheme
    The government has axed a scheme for upgrading energy efficiency in public sector buildings. The Public Sector Decarbonisation Schemedelivered more than £2.5bn in its first three phases for measures such as heat pumps, solar panels, insulation and double glazing, with further funding of nearly £1bn recently announced. But the Department for Energy Security and Net Zerohas told Building Design that the scheme has been dropped after the spending review, leaving uncertainty about how upgrades will be funded when the current phase expires in 2028. Source: UK Government/FlickrEd Miliband’s Department for Energy Security and Net Zero is responsible for the scheme The department said it would set out plans for the period after 2028 in due course. In a post on LinkedIn, Dave Welkin, director of sustainability at Gleeds, said he had waited for the release of the spending review with a “sense of trepidation” and was unable to find mention of public sector decarbonisation when Treasury documents were released. “I hoped because it was already committed in the Budget that its omission wasn’t ominous,” he wrote. Yesterday, he was told by Salix Finance, the non-departmental public body that delivers funding for the scheme, that it was no longer being funded. It comes after the withdrawal of funding for the Low Carbon Skills Fundin May. According to the government’s website, PSDS and LCSF were intended to support the reduction of emissions from public sector buildings by 75% by 2037, compared to a 2017 baseline. “Neither LCSF or PSDS were perfect by any means, but they did provide a vital source of funding for local authorities, hospitals, schools and many other public sector organisations to save energy, carbon and money,” Welkin said. “PSDS has helped replace failed heating systems in schools, keeping students warm. It’s replaced roofs on hospitals, helping patients recover from illness. It’s replaced windows in our prisons, improving security and stopping drugs getting behind bars.” However, responding to Welkin’s post, Steve Connolly, chief executive at Arriba Technologies, a low carbon heating and cooling firm, said that the scheme was being “mismanaged” with a small number of professional services firms “scooping up disproportionately large grants for their clients”. The fourth phase of the scheme was confirmed last September, with allocations confirmed only last month. This latest phase, which covers the financial years between 2025/26 and 2027/28, saw the distribution of £940m across the country. A DESNZ spokesperson said: “Our settlement is about investing in Britain’s renewal to create energy security, sprint to clean power by 2030, encourage investment, create jobs and bring down bills for good. “We will deliver £1bn in current allocations of the Public Sector Decarbonisation Scheme until 2028 and, through Great British Energy, have invested in new rooftop solar power and renewable schemes to lower energy bills for schools and hospitals across the UK. “We want to build on this progress by incentivising the public sector to decarbonise, so they can reap the benefits in lower bills and emissions, sharing best practice across government and exploring the use of repayable finance, where appropriate.” A government assessment of phase 3a and 3b projects identified a number of issues with the scheme, including delays and cost inflation, with more than a tenth being abandoned subsequent to grants being offered. Stakeholders interviewed for the report also identified “difficulties in obtaining skilled contractors and equipment”, especially air source heat pumps. The first come first served approach to awarding funding was also said to be “encouraging applicants to opt for more straightforward projects” and “potentially undermining the achievement of PSDS objective by restricting the opportunity for largermore complex measures which may have delivered greater carbon reduction benefits”. But the consensus among stakeholders and industry representatives interviewed for the report was that the scheme was “currently key to sustaining the existing UK heat pump market” and that it was “seen as vital in enabling many public sector organisations to invest in heat decarbonisation”. #government #ditches #public #sector #decarbonisation
    WWW.BDONLINE.CO.UK
    Government ditches public sector decarbonisation scheme
    The government has axed a scheme for upgrading energy efficiency in public sector buildings. The Public Sector Decarbonisation Scheme (PSDS) delivered more than £2.5bn in its first three phases for measures such as heat pumps, solar panels, insulation and double glazing, with further funding of nearly £1bn recently announced. But the Department for Energy Security and Net Zero (DESNZ) has told Building Design that the scheme has been dropped after the spending review, leaving uncertainty about how upgrades will be funded when the current phase expires in 2028. Source: UK Government/FlickrEd Miliband’s Department for Energy Security and Net Zero is responsible for the scheme The department said it would set out plans for the period after 2028 in due course. In a post on LinkedIn, Dave Welkin, director of sustainability at Gleeds, said he had waited for the release of the spending review with a “sense of trepidation” and was unable to find mention of public sector decarbonisation when Treasury documents were released. “I hoped because it was already committed in the Budget that its omission wasn’t ominous,” he wrote. Yesterday, he was told by Salix Finance, the non-departmental public body that delivers funding for the scheme, that it was no longer being funded. It comes after the withdrawal of funding for the Low Carbon Skills Fund (LCSF) in May. According to the government’s website, PSDS and LCSF were intended to support the reduction of emissions from public sector buildings by 75% by 2037, compared to a 2017 baseline. “Neither LCSF or PSDS were perfect by any means, but they did provide a vital source of funding for local authorities, hospitals, schools and many other public sector organisations to save energy, carbon and money,” Welkin said. “PSDS has helped replace failed heating systems in schools, keeping students warm. It’s replaced roofs on hospitals, helping patients recover from illness. It’s replaced windows in our prisons, improving security and stopping drugs getting behind bars.” However, responding to Welkin’s post, Steve Connolly, chief executive at Arriba Technologies, a low carbon heating and cooling firm, said that the scheme was being “mismanaged” with a small number of professional services firms “scooping up disproportionately large grants for their clients”. The fourth phase of the scheme was confirmed last September, with allocations confirmed only last month. This latest phase, which covers the financial years between 2025/26 and 2027/28, saw the distribution of £940m across the country. A DESNZ spokesperson said: “Our settlement is about investing in Britain’s renewal to create energy security, sprint to clean power by 2030, encourage investment, create jobs and bring down bills for good. “We will deliver £1bn in current allocations of the Public Sector Decarbonisation Scheme until 2028 and, through Great British Energy, have invested in new rooftop solar power and renewable schemes to lower energy bills for schools and hospitals across the UK. “We want to build on this progress by incentivising the public sector to decarbonise, so they can reap the benefits in lower bills and emissions, sharing best practice across government and exploring the use of repayable finance, where appropriate.” A government assessment of phase 3a and 3b projects identified a number of issues with the scheme, including delays and cost inflation, with more than a tenth being abandoned subsequent to grants being offered. Stakeholders interviewed for the report also identified “difficulties in obtaining skilled contractors and equipment”, especially air source heat pumps. The first come first served approach to awarding funding was also said to be “encouraging applicants to opt for more straightforward projects” and “potentially undermining the achievement of PSDS objective by restricting the opportunity for larger [and] more complex measures which may have delivered greater carbon reduction benefits”. But the consensus among stakeholders and industry representatives interviewed for the report was that the scheme was “currently key to sustaining the existing UK heat pump market” and that it was “seen as vital in enabling many public sector organisations to invest in heat decarbonisation”.
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  • EPFL Researchers Unveil FG2 at CVPR: A New AI Model That Slashes Localization Errors by 28% for Autonomous Vehicles in GPS-Denied Environments

    Navigating the dense urban canyons of cities like San Francisco or New York can be a nightmare for GPS systems. The towering skyscrapers block and reflect satellite signals, leading to location errors of tens of meters. For you and me, that might mean a missed turn. But for an autonomous vehicle or a delivery robot, that level of imprecision is the difference between a successful mission and a costly failure. These machines require pinpoint accuracy to operate safely and efficiently. Addressing this critical challenge, researchers from the École Polytechnique Fédérale de Lausannein Switzerland have introduced a groundbreaking new method for visual localization during CVPR 2025
    Their new paper, “FG2: Fine-Grained Cross-View Localization by Fine-Grained Feature Matching,” presents a novel AI model that significantly enhances the ability of a ground-level system, like an autonomous car, to determine its exact position and orientation using only a camera and a corresponding aerialimage. The new approach has demonstrated a remarkable 28% reduction in mean localization error compared to the previous state-of-the-art on a challenging public dataset.
    Key Takeaways:

    Superior Accuracy: The FG2 model reduces the average localization error by a significant 28% on the VIGOR cross-area test set, a challenging benchmark for this task.
    Human-like Intuition: Instead of relying on abstract descriptors, the model mimics human reasoning by matching fine-grained, semantically consistent features—like curbs, crosswalks, and buildings—between a ground-level photo and an aerial map.
    Enhanced Interpretability: The method allows researchers to “see” what the AI is “thinking” by visualizing exactly which features in the ground and aerial images are being matched, a major step forward from previous “black box” models.
    Weakly Supervised Learning: Remarkably, the model learns these complex and consistent feature matches without any direct labels for correspondences. It achieves this using only the final camera pose as a supervisory signal.

    Challenge: Seeing the World from Two Different Angles
    The core problem of cross-view localization is the dramatic difference in perspective between a street-level camera and an overhead satellite view. A building facade seen from the ground looks completely different from its rooftop signature in an aerial image. Existing methods have struggled with this. Some create a general “descriptor” for the entire scene, but this is an abstract approach that doesn’t mirror how humans naturally localize themselves by spotting specific landmarks. Other methods transform the ground image into a Bird’s-Eye-Viewbut are often limited to the ground plane, ignoring crucial vertical structures like buildings.

    FG2: Matching Fine-Grained Features
    The EPFL team’s FG2 method introduces a more intuitive and effective process. It aligns two sets of points: one generated from the ground-level image and another sampled from the aerial map.

    Here’s a breakdown of their innovative pipeline:

    Mapping to 3D: The process begins by taking the features from the ground-level image and lifting them into a 3D point cloud centered around the camera. This creates a 3D representation of the immediate environment.
    Smart Pooling to BEV: This is where the magic happens. Instead of simply flattening the 3D data, the model learns to intelligently select the most important features along the verticaldimension for each point. It essentially asks, “For this spot on the map, is the ground-level road marking more important, or is the edge of that building’s roof the better landmark?” This selection process is crucial, as it allows the model to correctly associate features like building facades with their corresponding rooftops in the aerial view.
    Feature Matching and Pose Estimation: Once both the ground and aerial views are represented as 2D point planes with rich feature descriptors, the model computes the similarity between them. It then samples a sparse set of the most confident matches and uses a classic geometric algorithm called Procrustes alignment to calculate the precise 3-DoFpose.

    Unprecedented Performance and Interpretability
    The results speak for themselves. On the challenging VIGOR dataset, which includes images from different cities in its cross-area test, FG2 reduced the mean localization error by 28% compared to the previous best method. It also demonstrated superior generalization capabilities on the KITTI dataset, a staple in autonomous driving research.

    Perhaps more importantly, the FG2 model offers a new level of transparency. By visualizing the matched points, the researchers showed that the model learns semantically consistent correspondences without being explicitly told to. For example, the system correctly matches zebra crossings, road markings, and even building facades in the ground view to their corresponding locations on the aerial map. This interpretability is extremenly valuable for building trust in safety-critical autonomous systems.
    “A Clearer Path” for Autonomous Navigation
    The FG2 method represents a significant leap forward in fine-grained visual localization. By developing a model that intelligently selects and matches features in a way that mirrors human intuition, the EPFL researchers have not only shattered previous accuracy records but also made the decision-making process of the AI more interpretable. This work paves the way for more robust and reliable navigation systems for autonomous vehicles, drones, and robots, bringing us one step closer to a future where machines can confidently navigate our world, even when GPS fails them.

    Check out the Paper. All credit for this research goes to the researchers of this project. Also, feel free to follow us on Twitter and don’t forget to join our 100k+ ML SubReddit and Subscribe to our Newsletter.
    Jean-marc MommessinJean-marc is a successful AI business executive .He leads and accelerates growth for AI powered solutions and started a computer vision company in 2006. He is a recognized speaker at AI conferences and has an MBA from Stanford.Jean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/AI-Generated Ad Created with Google’s Veo3 Airs During NBA Finals, Slashing Production Costs by 95%Jean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Highlighted at CVPR 2025: Google DeepMind’s ‘Motion Prompting’ Paper Unlocks Granular Video ControlJean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Snowflake Charts New AI Territory: Cortex AISQL & Snowflake Intelligence Poised to Reshape Data AnalyticsJean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Exclusive Talk: Joey Conway of NVIDIA on Llama Nemotron Ultra and Open Source Models
    #epfl #researchers #unveil #fg2 #cvpr
    EPFL Researchers Unveil FG2 at CVPR: A New AI Model That Slashes Localization Errors by 28% for Autonomous Vehicles in GPS-Denied Environments
    Navigating the dense urban canyons of cities like San Francisco or New York can be a nightmare for GPS systems. The towering skyscrapers block and reflect satellite signals, leading to location errors of tens of meters. For you and me, that might mean a missed turn. But for an autonomous vehicle or a delivery robot, that level of imprecision is the difference between a successful mission and a costly failure. These machines require pinpoint accuracy to operate safely and efficiently. Addressing this critical challenge, researchers from the École Polytechnique Fédérale de Lausannein Switzerland have introduced a groundbreaking new method for visual localization during CVPR 2025 Their new paper, “FG2: Fine-Grained Cross-View Localization by Fine-Grained Feature Matching,” presents a novel AI model that significantly enhances the ability of a ground-level system, like an autonomous car, to determine its exact position and orientation using only a camera and a corresponding aerialimage. The new approach has demonstrated a remarkable 28% reduction in mean localization error compared to the previous state-of-the-art on a challenging public dataset. Key Takeaways: Superior Accuracy: The FG2 model reduces the average localization error by a significant 28% on the VIGOR cross-area test set, a challenging benchmark for this task. Human-like Intuition: Instead of relying on abstract descriptors, the model mimics human reasoning by matching fine-grained, semantically consistent features—like curbs, crosswalks, and buildings—between a ground-level photo and an aerial map. Enhanced Interpretability: The method allows researchers to “see” what the AI is “thinking” by visualizing exactly which features in the ground and aerial images are being matched, a major step forward from previous “black box” models. Weakly Supervised Learning: Remarkably, the model learns these complex and consistent feature matches without any direct labels for correspondences. It achieves this using only the final camera pose as a supervisory signal. Challenge: Seeing the World from Two Different Angles The core problem of cross-view localization is the dramatic difference in perspective between a street-level camera and an overhead satellite view. A building facade seen from the ground looks completely different from its rooftop signature in an aerial image. Existing methods have struggled with this. Some create a general “descriptor” for the entire scene, but this is an abstract approach that doesn’t mirror how humans naturally localize themselves by spotting specific landmarks. Other methods transform the ground image into a Bird’s-Eye-Viewbut are often limited to the ground plane, ignoring crucial vertical structures like buildings. FG2: Matching Fine-Grained Features The EPFL team’s FG2 method introduces a more intuitive and effective process. It aligns two sets of points: one generated from the ground-level image and another sampled from the aerial map. Here’s a breakdown of their innovative pipeline: Mapping to 3D: The process begins by taking the features from the ground-level image and lifting them into a 3D point cloud centered around the camera. This creates a 3D representation of the immediate environment. Smart Pooling to BEV: This is where the magic happens. Instead of simply flattening the 3D data, the model learns to intelligently select the most important features along the verticaldimension for each point. It essentially asks, “For this spot on the map, is the ground-level road marking more important, or is the edge of that building’s roof the better landmark?” This selection process is crucial, as it allows the model to correctly associate features like building facades with their corresponding rooftops in the aerial view. Feature Matching and Pose Estimation: Once both the ground and aerial views are represented as 2D point planes with rich feature descriptors, the model computes the similarity between them. It then samples a sparse set of the most confident matches and uses a classic geometric algorithm called Procrustes alignment to calculate the precise 3-DoFpose. Unprecedented Performance and Interpretability The results speak for themselves. On the challenging VIGOR dataset, which includes images from different cities in its cross-area test, FG2 reduced the mean localization error by 28% compared to the previous best method. It also demonstrated superior generalization capabilities on the KITTI dataset, a staple in autonomous driving research. Perhaps more importantly, the FG2 model offers a new level of transparency. By visualizing the matched points, the researchers showed that the model learns semantically consistent correspondences without being explicitly told to. For example, the system correctly matches zebra crossings, road markings, and even building facades in the ground view to their corresponding locations on the aerial map. This interpretability is extremenly valuable for building trust in safety-critical autonomous systems. “A Clearer Path” for Autonomous Navigation The FG2 method represents a significant leap forward in fine-grained visual localization. By developing a model that intelligently selects and matches features in a way that mirrors human intuition, the EPFL researchers have not only shattered previous accuracy records but also made the decision-making process of the AI more interpretable. This work paves the way for more robust and reliable navigation systems for autonomous vehicles, drones, and robots, bringing us one step closer to a future where machines can confidently navigate our world, even when GPS fails them. Check out the Paper. All credit for this research goes to the researchers of this project. Also, feel free to follow us on Twitter and don’t forget to join our 100k+ ML SubReddit and Subscribe to our Newsletter. Jean-marc MommessinJean-marc is a successful AI business executive .He leads and accelerates growth for AI powered solutions and started a computer vision company in 2006. He is a recognized speaker at AI conferences and has an MBA from Stanford.Jean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/AI-Generated Ad Created with Google’s Veo3 Airs During NBA Finals, Slashing Production Costs by 95%Jean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Highlighted at CVPR 2025: Google DeepMind’s ‘Motion Prompting’ Paper Unlocks Granular Video ControlJean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Snowflake Charts New AI Territory: Cortex AISQL & Snowflake Intelligence Poised to Reshape Data AnalyticsJean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Exclusive Talk: Joey Conway of NVIDIA on Llama Nemotron Ultra and Open Source Models #epfl #researchers #unveil #fg2 #cvpr
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    EPFL Researchers Unveil FG2 at CVPR: A New AI Model That Slashes Localization Errors by 28% for Autonomous Vehicles in GPS-Denied Environments
    Navigating the dense urban canyons of cities like San Francisco or New York can be a nightmare for GPS systems. The towering skyscrapers block and reflect satellite signals, leading to location errors of tens of meters. For you and me, that might mean a missed turn. But for an autonomous vehicle or a delivery robot, that level of imprecision is the difference between a successful mission and a costly failure. These machines require pinpoint accuracy to operate safely and efficiently. Addressing this critical challenge, researchers from the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland have introduced a groundbreaking new method for visual localization during CVPR 2025 Their new paper, “FG2: Fine-Grained Cross-View Localization by Fine-Grained Feature Matching,” presents a novel AI model that significantly enhances the ability of a ground-level system, like an autonomous car, to determine its exact position and orientation using only a camera and a corresponding aerial (or satellite) image. The new approach has demonstrated a remarkable 28% reduction in mean localization error compared to the previous state-of-the-art on a challenging public dataset. Key Takeaways: Superior Accuracy: The FG2 model reduces the average localization error by a significant 28% on the VIGOR cross-area test set, a challenging benchmark for this task. Human-like Intuition: Instead of relying on abstract descriptors, the model mimics human reasoning by matching fine-grained, semantically consistent features—like curbs, crosswalks, and buildings—between a ground-level photo and an aerial map. Enhanced Interpretability: The method allows researchers to “see” what the AI is “thinking” by visualizing exactly which features in the ground and aerial images are being matched, a major step forward from previous “black box” models. Weakly Supervised Learning: Remarkably, the model learns these complex and consistent feature matches without any direct labels for correspondences. It achieves this using only the final camera pose as a supervisory signal. Challenge: Seeing the World from Two Different Angles The core problem of cross-view localization is the dramatic difference in perspective between a street-level camera and an overhead satellite view. A building facade seen from the ground looks completely different from its rooftop signature in an aerial image. Existing methods have struggled with this. Some create a general “descriptor” for the entire scene, but this is an abstract approach that doesn’t mirror how humans naturally localize themselves by spotting specific landmarks. Other methods transform the ground image into a Bird’s-Eye-View (BEV) but are often limited to the ground plane, ignoring crucial vertical structures like buildings. FG2: Matching Fine-Grained Features The EPFL team’s FG2 method introduces a more intuitive and effective process. It aligns two sets of points: one generated from the ground-level image and another sampled from the aerial map. Here’s a breakdown of their innovative pipeline: Mapping to 3D: The process begins by taking the features from the ground-level image and lifting them into a 3D point cloud centered around the camera. This creates a 3D representation of the immediate environment. Smart Pooling to BEV: This is where the magic happens. Instead of simply flattening the 3D data, the model learns to intelligently select the most important features along the vertical (height) dimension for each point. It essentially asks, “For this spot on the map, is the ground-level road marking more important, or is the edge of that building’s roof the better landmark?” This selection process is crucial, as it allows the model to correctly associate features like building facades with their corresponding rooftops in the aerial view. Feature Matching and Pose Estimation: Once both the ground and aerial views are represented as 2D point planes with rich feature descriptors, the model computes the similarity between them. It then samples a sparse set of the most confident matches and uses a classic geometric algorithm called Procrustes alignment to calculate the precise 3-DoF (x, y, and yaw) pose. Unprecedented Performance and Interpretability The results speak for themselves. On the challenging VIGOR dataset, which includes images from different cities in its cross-area test, FG2 reduced the mean localization error by 28% compared to the previous best method. It also demonstrated superior generalization capabilities on the KITTI dataset, a staple in autonomous driving research. Perhaps more importantly, the FG2 model offers a new level of transparency. By visualizing the matched points, the researchers showed that the model learns semantically consistent correspondences without being explicitly told to. For example, the system correctly matches zebra crossings, road markings, and even building facades in the ground view to their corresponding locations on the aerial map. This interpretability is extremenly valuable for building trust in safety-critical autonomous systems. “A Clearer Path” for Autonomous Navigation The FG2 method represents a significant leap forward in fine-grained visual localization. By developing a model that intelligently selects and matches features in a way that mirrors human intuition, the EPFL researchers have not only shattered previous accuracy records but also made the decision-making process of the AI more interpretable. This work paves the way for more robust and reliable navigation systems for autonomous vehicles, drones, and robots, bringing us one step closer to a future where machines can confidently navigate our world, even when GPS fails them. Check out the Paper. All credit for this research goes to the researchers of this project. Also, feel free to follow us on Twitter and don’t forget to join our 100k+ ML SubReddit and Subscribe to our Newsletter. Jean-marc MommessinJean-marc is a successful AI business executive .He leads and accelerates growth for AI powered solutions and started a computer vision company in 2006. He is a recognized speaker at AI conferences and has an MBA from Stanford.Jean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/AI-Generated Ad Created with Google’s Veo3 Airs During NBA Finals, Slashing Production Costs by 95%Jean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Highlighted at CVPR 2025: Google DeepMind’s ‘Motion Prompting’ Paper Unlocks Granular Video ControlJean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Snowflake Charts New AI Territory: Cortex AISQL & Snowflake Intelligence Poised to Reshape Data AnalyticsJean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Exclusive Talk: Joey Conway of NVIDIA on Llama Nemotron Ultra and Open Source Models
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  • Patch Notes #9: Xbox debuts its first handhelds, Hong Kong authorities ban a video game, and big hopes for Big Walk

    We did it gang. We completed another week in the impossible survival sim that is real life. Give yourself a appreciative pat on the back and gaze wistfully towards whatever adventures or blissful respite the weekend might bring.This week I've mostly been recovering from my birthday celebrations, which entailed a bountiful Korean Barbecue that left me with a rampant case of the meat sweats and a pub crawl around one of Manchester's finest suburbs. There was no time for video games, but that's not always a bad thing. Distance makes the heart grow fonder, after all.I was welcomed back to the imaginary office with a news bludgeon to the face. The headlines this week have come thick and fast, bringing hardware announcements, more layoffs, and some notable sales milestones. As always, there's a lot to digest, so let's venture once more into the fray. The first Xbox handhelds have finally arrivedvia Game Developer // Microsoft finally stopped flirting with the idea of launching a handheld this week and unveiled not one, but two devices called the ROG Xbox Ally and ROG Xbox Ally X. The former is pitched towards casual players, while the latter aims to entice hardcore video game aficionados. Both devices were designed in collaboration with Asus and will presumably retail at price points that reflect their respective innards. We don't actually know yet, mind, because Microsoft didn't actually state how much they'll cost. You have the feel that's where the company really needs to stick the landing here.Related:Switch 2 tops 3.5 million sales to deliver Nintendo's biggest console launchvia Game Developer // Four days. That's all it took for the Switch 2 to shift over 3.5 million units worldwide to deliver Nintendo's biggest console launch ever. The original Switch needed a month to reach 2.74 million sales by contrast, while the PS5 needed two months to sell 4.5 million units worldwide. Xbox sales remain a mystery because Microsoft just doesn't talk about that sort of thing anymore, which is decidedly frustrating for those oddballswho actually enjoy sifting through financial documents in search of those juicy juicy numbers.Inside the ‘Dragon Age’ Debacle That Gutted EA’s BioWare Studiovia Bloomberg// How do you kill a franchise like Dragon Age and leave a studio with the pedigree of BioWare in turmoil? According to a new report from Bloomberg, the answer will likely resonate with developers across the industry: corporate meddling. Sources speaking to the publication explained how Dragon Age: The Veilguard, which failed to meet the expectations of parent company EA, was in constant disarray because the American publisher couldn't decide whether it should be a live-service or single player title. Indecision from leadership within EA and an eventual pivot away from the live-service model only caused more confusion, with BioWare being told to implement foundational changes within impossible timelines. It's a story that's all the more alarming because of how familiar it feels.Related:Sony is making layoffs at Days Gone developer Bend Studiovia Game Developer // Sony has continued its Tony Award-winning tun as the Grim Reaper by cutting even more jobs within PlayStation Studios. Days Gone developer Bend Studio was the latest casualty, with the first-party developer confirming a number of employees were laid off just months after the cancellation of a live-service project. Sony didn't confirm how many people lost their jobs, but Bloomberg reporter Jason Schreier heard that around 40 peoplewere let go. Embracer CEO Lars Wingefors to become executive chair and focus on M&Avia Game Developer // Somewhere, in a deep dark corner of the world, the monkey's paw has curled. Embracer CEO Lars Wingefors, who demonstrated his leadership nous by spending years embarking on a colossal merger and acquisition spree only to immediately start downsizing, has announced he'll be stepping down as CEO. The catch? Wingefors is currently proposed to be appointed executive chair of the board of Embracer. In his new role, he'll apparently focus on strategic initiatives, capital allocation, and mergers and acquisitions. And people wonder why satire is dead. Related:Hong Kong Outlaws a Video Game, Saying It Promotes 'Armed Revolution'via The New York Times// National security police in Hong Kong have banned a Taiwanese video game called Reversed Front: Bonfire for supposedly "advocating armed revolution." Authorities in the region warned that anybody who downloads or recommends the online strategy title will face serious legal charges. The game has been pulled from Apple's marketplace in Hong Kong but is still available for download elsewhere. It was never available in mainland China. Developer ESC Taiwan, part of an group of volunteers who are vocal detractors of China's Communist Party, thanked Hong Kong authorities for the free publicity in a social media post and said the ban shows how political censorship remains prominent in the territory. RuneScape developer accused of ‘catering to American conservatism’ by rolling back Pride Month eventsvia PinkNews // Runescape developers inside Jagex have reportedly been left reeling after the studio decided to pivot away from Pride Month content to focus more on "what players wanted." Jagex CEO broke the news to staff with a post on an internal message board, prompting a rush of complaints—with many workers explaining the content was either already complete or easy to implement. Though Jagex is based in the UK, it's parent company CVC Capital Partners operates multiple companies in the United States. It's a situation that left one employee who spoke to PinkNews questioning whether the studio has caved to "American conservatism." SAG-AFTRA suspends strike and instructs union members to return to workvia Game Developer // It has taken almost a year, but performer union SAG-AFTRA has finally suspended strike action and instructed members to return to work. The decision comes after protracted negotiations with major studios who employ performers under the Interactive Media Agreement. SAG-AFTRA had been striking to secure better working conditions and AI protections for its members, and feels it has now secured a deal that will install vital "AI guardrails."A Switch 2 exclusive Splatoon spinoff was just shadow-announced on Nintendo Todayvia Game Developer // Nintendo did something peculiar this week when it unveiled a Splatoon spinoff out of the blue. That in itself might not sound too strange, but for a short window the announcement was only accessible via the company's new Nintendo Today mobile app. It's a situation that left people without access to the app questioning whether the news was even real. Nintendo Today prevented users from capturing screenshots or footage, only adding to the sense of confusion. It led to this reporter branding the move a "shadow announcement," which in turn left some of our readers perplexed. Can you ever announce and announcement? What does that term even mean? Food for thought. A wonderful new Big Walk trailer melted this reporter's heartvia House House//  The mad lads behind Untitled Goose Game are back with a new jaunt called Big Walk. This one has been on my radar for a while, but the studio finally debuted a gameplay overview during Summer Game Fest and it looks extraordinary in its purity. It's about walking and talking—and therein lies the charm. Players are forced to cooperate to navigate a lush open world, solve puzzles, and embark upon hijinks. Proximity-based communication is the core mechanic in Big Walk—whether that takes the form of voice chat, written text, hand signals, blazing flares, or pictograms—and it looks like it'll lead to all sorts of weird and wonderful antics. It's a pitch that cuts through because it's so unashamedly different, and there's a lot to love about that. I'm looking forward to this one.
    #patch #notes #xbox #debuts #its
    Patch Notes #9: Xbox debuts its first handhelds, Hong Kong authorities ban a video game, and big hopes for Big Walk
    We did it gang. We completed another week in the impossible survival sim that is real life. Give yourself a appreciative pat on the back and gaze wistfully towards whatever adventures or blissful respite the weekend might bring.This week I've mostly been recovering from my birthday celebrations, which entailed a bountiful Korean Barbecue that left me with a rampant case of the meat sweats and a pub crawl around one of Manchester's finest suburbs. There was no time for video games, but that's not always a bad thing. Distance makes the heart grow fonder, after all.I was welcomed back to the imaginary office with a news bludgeon to the face. The headlines this week have come thick and fast, bringing hardware announcements, more layoffs, and some notable sales milestones. As always, there's a lot to digest, so let's venture once more into the fray. The first Xbox handhelds have finally arrivedvia Game Developer // Microsoft finally stopped flirting with the idea of launching a handheld this week and unveiled not one, but two devices called the ROG Xbox Ally and ROG Xbox Ally X. The former is pitched towards casual players, while the latter aims to entice hardcore video game aficionados. Both devices were designed in collaboration with Asus and will presumably retail at price points that reflect their respective innards. We don't actually know yet, mind, because Microsoft didn't actually state how much they'll cost. You have the feel that's where the company really needs to stick the landing here.Related:Switch 2 tops 3.5 million sales to deliver Nintendo's biggest console launchvia Game Developer // Four days. That's all it took for the Switch 2 to shift over 3.5 million units worldwide to deliver Nintendo's biggest console launch ever. The original Switch needed a month to reach 2.74 million sales by contrast, while the PS5 needed two months to sell 4.5 million units worldwide. Xbox sales remain a mystery because Microsoft just doesn't talk about that sort of thing anymore, which is decidedly frustrating for those oddballswho actually enjoy sifting through financial documents in search of those juicy juicy numbers.Inside the ‘Dragon Age’ Debacle That Gutted EA’s BioWare Studiovia Bloomberg// How do you kill a franchise like Dragon Age and leave a studio with the pedigree of BioWare in turmoil? According to a new report from Bloomberg, the answer will likely resonate with developers across the industry: corporate meddling. Sources speaking to the publication explained how Dragon Age: The Veilguard, which failed to meet the expectations of parent company EA, was in constant disarray because the American publisher couldn't decide whether it should be a live-service or single player title. Indecision from leadership within EA and an eventual pivot away from the live-service model only caused more confusion, with BioWare being told to implement foundational changes within impossible timelines. It's a story that's all the more alarming because of how familiar it feels.Related:Sony is making layoffs at Days Gone developer Bend Studiovia Game Developer // Sony has continued its Tony Award-winning tun as the Grim Reaper by cutting even more jobs within PlayStation Studios. Days Gone developer Bend Studio was the latest casualty, with the first-party developer confirming a number of employees were laid off just months after the cancellation of a live-service project. Sony didn't confirm how many people lost their jobs, but Bloomberg reporter Jason Schreier heard that around 40 peoplewere let go. Embracer CEO Lars Wingefors to become executive chair and focus on M&Avia Game Developer // Somewhere, in a deep dark corner of the world, the monkey's paw has curled. Embracer CEO Lars Wingefors, who demonstrated his leadership nous by spending years embarking on a colossal merger and acquisition spree only to immediately start downsizing, has announced he'll be stepping down as CEO. The catch? Wingefors is currently proposed to be appointed executive chair of the board of Embracer. In his new role, he'll apparently focus on strategic initiatives, capital allocation, and mergers and acquisitions. And people wonder why satire is dead. Related:Hong Kong Outlaws a Video Game, Saying It Promotes 'Armed Revolution'via The New York Times// National security police in Hong Kong have banned a Taiwanese video game called Reversed Front: Bonfire for supposedly "advocating armed revolution." Authorities in the region warned that anybody who downloads or recommends the online strategy title will face serious legal charges. The game has been pulled from Apple's marketplace in Hong Kong but is still available for download elsewhere. It was never available in mainland China. Developer ESC Taiwan, part of an group of volunteers who are vocal detractors of China's Communist Party, thanked Hong Kong authorities for the free publicity in a social media post and said the ban shows how political censorship remains prominent in the territory. RuneScape developer accused of ‘catering to American conservatism’ by rolling back Pride Month eventsvia PinkNews // Runescape developers inside Jagex have reportedly been left reeling after the studio decided to pivot away from Pride Month content to focus more on "what players wanted." Jagex CEO broke the news to staff with a post on an internal message board, prompting a rush of complaints—with many workers explaining the content was either already complete or easy to implement. Though Jagex is based in the UK, it's parent company CVC Capital Partners operates multiple companies in the United States. It's a situation that left one employee who spoke to PinkNews questioning whether the studio has caved to "American conservatism." SAG-AFTRA suspends strike and instructs union members to return to workvia Game Developer // It has taken almost a year, but performer union SAG-AFTRA has finally suspended strike action and instructed members to return to work. The decision comes after protracted negotiations with major studios who employ performers under the Interactive Media Agreement. SAG-AFTRA had been striking to secure better working conditions and AI protections for its members, and feels it has now secured a deal that will install vital "AI guardrails."A Switch 2 exclusive Splatoon spinoff was just shadow-announced on Nintendo Todayvia Game Developer // Nintendo did something peculiar this week when it unveiled a Splatoon spinoff out of the blue. That in itself might not sound too strange, but for a short window the announcement was only accessible via the company's new Nintendo Today mobile app. It's a situation that left people without access to the app questioning whether the news was even real. Nintendo Today prevented users from capturing screenshots or footage, only adding to the sense of confusion. It led to this reporter branding the move a "shadow announcement," which in turn left some of our readers perplexed. Can you ever announce and announcement? What does that term even mean? Food for thought. A wonderful new Big Walk trailer melted this reporter's heartvia House House//  The mad lads behind Untitled Goose Game are back with a new jaunt called Big Walk. This one has been on my radar for a while, but the studio finally debuted a gameplay overview during Summer Game Fest and it looks extraordinary in its purity. It's about walking and talking—and therein lies the charm. Players are forced to cooperate to navigate a lush open world, solve puzzles, and embark upon hijinks. Proximity-based communication is the core mechanic in Big Walk—whether that takes the form of voice chat, written text, hand signals, blazing flares, or pictograms—and it looks like it'll lead to all sorts of weird and wonderful antics. It's a pitch that cuts through because it's so unashamedly different, and there's a lot to love about that. I'm looking forward to this one. #patch #notes #xbox #debuts #its
    WWW.GAMEDEVELOPER.COM
    Patch Notes #9: Xbox debuts its first handhelds, Hong Kong authorities ban a video game, and big hopes for Big Walk
    We did it gang. We completed another week in the impossible survival sim that is real life. Give yourself a appreciative pat on the back and gaze wistfully towards whatever adventures or blissful respite the weekend might bring.This week I've mostly been recovering from my birthday celebrations, which entailed a bountiful Korean Barbecue that left me with a rampant case of the meat sweats and a pub crawl around one of Manchester's finest suburbs. There was no time for video games, but that's not always a bad thing. Distance makes the heart grow fonder, after all.I was welcomed back to the imaginary office with a news bludgeon to the face. The headlines this week have come thick and fast, bringing hardware announcements, more layoffs, and some notable sales milestones. As always, there's a lot to digest, so let's venture once more into the fray. The first Xbox handhelds have finally arrivedvia Game Developer // Microsoft finally stopped flirting with the idea of launching a handheld this week and unveiled not one, but two devices called the ROG Xbox Ally and ROG Xbox Ally X. The former is pitched towards casual players, while the latter aims to entice hardcore video game aficionados. Both devices were designed in collaboration with Asus and will presumably retail at price points that reflect their respective innards. We don't actually know yet, mind, because Microsoft didn't actually state how much they'll cost. You have the feel that's where the company really needs to stick the landing here.Related:Switch 2 tops 3.5 million sales to deliver Nintendo's biggest console launchvia Game Developer // Four days. That's all it took for the Switch 2 to shift over 3.5 million units worldwide to deliver Nintendo's biggest console launch ever. The original Switch needed a month to reach 2.74 million sales by contrast, while the PS5 needed two months to sell 4.5 million units worldwide. Xbox sales remain a mystery because Microsoft just doesn't talk about that sort of thing anymore, which is decidedly frustrating for those oddballs (read: this writer) who actually enjoy sifting through financial documents in search of those juicy juicy numbers.Inside the ‘Dragon Age’ Debacle That Gutted EA’s BioWare Studiovia Bloomberg (paywalled) // How do you kill a franchise like Dragon Age and leave a studio with the pedigree of BioWare in turmoil? According to a new report from Bloomberg, the answer will likely resonate with developers across the industry: corporate meddling. Sources speaking to the publication explained how Dragon Age: The Veilguard, which failed to meet the expectations of parent company EA, was in constant disarray because the American publisher couldn't decide whether it should be a live-service or single player title. Indecision from leadership within EA and an eventual pivot away from the live-service model only caused more confusion, with BioWare being told to implement foundational changes within impossible timelines. It's a story that's all the more alarming because of how familiar it feels.Related:Sony is making layoffs at Days Gone developer Bend Studiovia Game Developer // Sony has continued its Tony Award-winning tun as the Grim Reaper by cutting even more jobs within PlayStation Studios. Days Gone developer Bend Studio was the latest casualty, with the first-party developer confirming a number of employees were laid off just months after the cancellation of a live-service project. Sony didn't confirm how many people lost their jobs, but Bloomberg reporter Jason Schreier heard that around 40 people (roughly 30 percent of the studio's headcount) were let go. Embracer CEO Lars Wingefors to become executive chair and focus on M&Avia Game Developer // Somewhere, in a deep dark corner of the world, the monkey's paw has curled. Embracer CEO Lars Wingefors, who demonstrated his leadership nous by spending years embarking on a colossal merger and acquisition spree only to immediately start downsizing, has announced he'll be stepping down as CEO. The catch? Wingefors is currently proposed to be appointed executive chair of the board of Embracer. In his new role, he'll apparently focus on strategic initiatives, capital allocation, and mergers and acquisitions. And people wonder why satire is dead. Related:Hong Kong Outlaws a Video Game, Saying It Promotes 'Armed Revolution'via The New York Times (paywalled) // National security police in Hong Kong have banned a Taiwanese video game called Reversed Front: Bonfire for supposedly "advocating armed revolution." Authorities in the region warned that anybody who downloads or recommends the online strategy title will face serious legal charges. The game has been pulled from Apple's marketplace in Hong Kong but is still available for download elsewhere. It was never available in mainland China. Developer ESC Taiwan, part of an group of volunteers who are vocal detractors of China's Communist Party, thanked Hong Kong authorities for the free publicity in a social media post and said the ban shows how political censorship remains prominent in the territory. RuneScape developer accused of ‘catering to American conservatism’ by rolling back Pride Month eventsvia PinkNews // Runescape developers inside Jagex have reportedly been left reeling after the studio decided to pivot away from Pride Month content to focus more on "what players wanted." Jagex CEO broke the news to staff with a post on an internal message board, prompting a rush of complaints—with many workers explaining the content was either already complete or easy to implement. Though Jagex is based in the UK, it's parent company CVC Capital Partners operates multiple companies in the United States. It's a situation that left one employee who spoke to PinkNews questioning whether the studio has caved to "American conservatism." SAG-AFTRA suspends strike and instructs union members to return to workvia Game Developer // It has taken almost a year, but performer union SAG-AFTRA has finally suspended strike action and instructed members to return to work. The decision comes after protracted negotiations with major studios who employ performers under the Interactive Media Agreement. SAG-AFTRA had been striking to secure better working conditions and AI protections for its members, and feels it has now secured a deal that will install vital "AI guardrails."A Switch 2 exclusive Splatoon spinoff was just shadow-announced on Nintendo Todayvia Game Developer // Nintendo did something peculiar this week when it unveiled a Splatoon spinoff out of the blue. That in itself might not sound too strange, but for a short window the announcement was only accessible via the company's new Nintendo Today mobile app. It's a situation that left people without access to the app questioning whether the news was even real. Nintendo Today prevented users from capturing screenshots or footage, only adding to the sense of confusion. It led to this reporter branding the move a "shadow announcement," which in turn left some of our readers perplexed. Can you ever announce and announcement? What does that term even mean? Food for thought. A wonderful new Big Walk trailer melted this reporter's heartvia House House (YouTube) //  The mad lads behind Untitled Goose Game are back with a new jaunt called Big Walk. This one has been on my radar for a while, but the studio finally debuted a gameplay overview during Summer Game Fest and it looks extraordinary in its purity. It's about walking and talking—and therein lies the charm. Players are forced to cooperate to navigate a lush open world, solve puzzles, and embark upon hijinks. Proximity-based communication is the core mechanic in Big Walk—whether that takes the form of voice chat, written text, hand signals, blazing flares, or pictograms—and it looks like it'll lead to all sorts of weird and wonderful antics. It's a pitch that cuts through because it's so unashamedly different, and there's a lot to love about that. I'm looking forward to this one.
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