Telecom companies last year spent nearly billion in capital expenditures and over trillion in operating expenditures. These large expenses are due in part to laborious manual processes that telcos face when operating networks that require continuous optimizations. For example, telcos must constantly tune network parameters for tasks — such as transferring calls from one network to another or distributing network traffic across multiple servers — based on the time of day, user behavior, mobility and traffic type. These factors directly affect network performance, user experience and energy consumption. To automate these optimization processes and save costs for telcos across the globe, NVIDIA today unveiled at GTC Paris its first AI Blueprint for telco network configuration. At the blueprint’s core are customized large language models trained specifically on telco network data — as well as the full technical and operational architecture for turning the LLMs into an autonomous, goal-driven AI agent for telcos. Automate Network Configuration With the AI Blueprint NVIDIA AI Blueprints — available on build.nvidia.com — are customizable AI workflow examples. They include reference code, documentation and deployment tools that show enterprise developers how to deliver business value with NVIDIA NIM microservices. The AI Blueprint for telco network configuration — built with BubbleRAN 5G solutions and datasets — enables developers, network engineers and telecom providers to automatically optimize the configuration of network parameters using agentic AI. This can streamline operations, reduce costs and significantly improve service quality by embedding continuous learning and adaptability directly into network infrastructures. Traditionally, network configurations required manual intervention or followed rigid rules to adapt to dynamic network conditions. These approaches limited adaptability and increased operational complexities, costs and inefficiencies. The new blueprint helps shift telco operations from relying on static, rules-based systems to operations based on dynamic, AI-driven automation. It enables developers to build advanced, telco-specific AI agents that make real-time, intelligent decisions and autonomously balance trade-offs — such as network speed versus interference, or energy savings versus utilization — without human input. Powered and Deployed by Industry Leaders Trained on 5G data generated by BubbleRAN, and deployed on the BubbleRAN 5G O-RAN platform, the blueprint provides telcos with insight on how to set various parameters to reach performance goals, like achieving a certain bitrate while choosing an acceptable signal-to-noise ratio — a measure that impacts voice quality and thus user experience. With the new AI Blueprint, network engineers can confidently set initial parameter values and update them as demanded by continuous network changes. Norway-based Telenor Group, which serves over 200 million customers globally, is the first telco to integrate the AI Blueprint for telco network configuration as part of its initiative to deploy intelligent, autonomous networks that meet the performance and agility demands of 5G and beyond. “The blueprint is helping us address configuration challenges and enhance quality of service during network installation,” said Knut Fjellheim, chief technology innovation officer at Telenor Maritime. “Implementing it is part of our push toward network automation and follows the successful deployment of agentic AI for real-time network slicing in a private 5G maritime use case.” Industry Partners Deploy Other NVIDIA-Powered Autonomous Network Technologies The AI Blueprint for telco network configuration is just one of many announcements at NVIDIA GTC Paris showcasing how the telecom industry is using agentic AI to make autonomous networks a reality. Beyond the blueprint, leading telecom companies and solutions providers are tapping into NVIDIA accelerated computing, software and microservices to provide breakthrough innovations poised to vastly improve networks and communications services — accelerating the progress to autonomous networks and improving customer experiences. NTT DATA is powering its agentic platform for telcos with NVIDIA accelerated compute and the NVIDIA AI Enterprise software platform. Its first agentic use case is focused on network alarms management, where NVIDIA NIM microservices help automate and power observability, troubleshooting, anomaly detection and resolution with closed loop ticketing. Tata Consultancy Services is delivering agentic AI solutions for telcos built on NVIDIA DGX Cloud and using NVIDIA AI Enterprise to develop, fine-tune and integrate large telco models into AI agent workflows. These range from billing and revenue assurance, autonomous network management to hybrid edge-cloud distributed inference. For example, the company’s anomaly management agentic AI model includes real-time detection and resolution of network anomalies and service performance optimization. This increases business agility and improves operational efficiencies by up to 40% by eliminating human intensive toils, overheads and cross-departmental silos. Prodapt has introduced an autonomous operations workflow for networks, powered by NVIDIA AI Enterprise, that offers agentic AI capabilities to support autonomous telecom networks. AI agents can autonomously monitor networks, detect anomalies in real time, initiate diagnostics, analyze root causes of issues using historical data and correlation techniques, automatically execute corrective actions, and generate, enrich and assign incident tickets through integrated ticketing systems. Accenture announced its new portfolio of agentic AI solutions for telecommunications through its AI Refinery platform, built on NVIDIA AI Enterprise software and accelerated computing. The first available solution, the NOC Agentic App, boosts network operations center tasks by using a generative AI-driven, nonlinear agentic framework to automate processes such as incident and fault management, root cause analysis and configuration planning. Using the Llama 3.1 70B NVIDIA NIM microservice and the AI Refinery Distiller Framework, the NOC Agentic App orchestrates networks of intelligent agents for faster, more efficient decision-making. Infosys is announcing its agentic autonomous operations platform, called Infosys Smart Network Assurance, designed to accelerate telecom operators’ journeys toward fully autonomous network operations. ISNA helps address long-standing operational challenges for telcos — such as limited automation and high average time to repair — with an integrated, AI-driven platform that reduces operational costs by up to 40% and shortens fault resolution times by up to 30%. NVIDIA NIM and NeMo microservices enhance the platform’s reasoning and hallucination-detection capabilities, reduce latency and increase accuracy. Get started with the new blueprint today. Learn more about the latest AI advancements for telecom and other industries at NVIDIA GTC Paris, running through Thursday, June 12, at VivaTech, including a keynote from NVIDIA founder and CEO Jensen Huang and a special address from Ronnie Vasishta, senior vice president of telecom at NVIDIA. Plus, hear from industry leaders in a panel session with Orange, Swisscom, Telenor and NVIDIA. #calling #llms #new #nvidia #blueprint

By TREVOR HOGG Images courtesy of Prime Video. For those seeking an alternative to the MCU, Prime Video has two offerings of the live-action and animated variety that take the superhero genre into R-rated territory where the hands of the god-like figures get dirty, bloodied and severed. “The Boys is about the intersection of celebrity and politics using superheroes,” states Stephan Fleet, VFX Supervisor on The Boys. “Sometimes I see the news and I don’t even know we can write to catch up to it! But we try. Invincible is an intense look at an alternate DC Universe that has more grit to the superhero side of it all. On one hand, I was jealous watching Season 1 of Invincible because in animation you can do things that you can’t do in real life on a budget.” Season 4 does not tone down the blood, gore and body count. Fleet notes, “The writers almost have this dialogue with us. Sometimes, they’ll write in the script, ‘And Fleet will come up with a cool visual effect for how to kill this person.’ Or, ‘Chhiu, our fight coordinator, will make an awesome fight.’ It is a frequent topic of conversation. We’re constantly trying to be inventive and create new ways to kill people!” When Splintersplits in two, the cloning effect was inspired by cellular mitosis. “The writers almost have this dialogue with us. Sometimes, they’ll write in the script, ‘And Fleet will come up with a cool visual effect for how to kill this person.’ Or, ‘Chhiu, our fight coordinator, will make an awesome fight.’ It is a frequent topic of conversation. We’re constantly trying to be inventive and create new ways to kill people!” —Stephan Fleet, VFX Supervisor A total of 1,600 visual effects shots were created for the eight episodes by ILM, Pixomondo, MPC Toronto, Spin VFX, DNEG, Untold Studios, Luma Pictures and Rocket Science VFX. Previs was a critical part of the process. “We have John Griffith, who owns a small company called CNCPT out of Texas, and he does wonderful Unreal Engine level previs,” Fleet remarks. “On set, we have a cartoon of what is going to be done, and you’ll be amazed, specifically for action and heavy visual effects stuff, how close those shots are to the previs when we finish.” Founding Director of Federal Bureau of Superhuman Affairs, Victoria Neuman, literally gets ripped in half by two tendrils coming out of Compound V-enhanced Billy Butcher, the leader of superhero resistance group The Boys. “The word that we like to use on this show is ‘grounded,’ and I like to say ‘grounded’ with an asterisk in this day and age because we’re grounded until we get to killing people in the craziest ways. In this case, having someone floating in the air and being ripped in half by two tendrils was all CG.” Multiple plates were shot to enable Simon Pegg to phase through the actor laying in a hospital bed. Testing can get rather elaborate. “For that end scene with Butcher’s tendrils, the room was two stories, and we were able to put the camera up high along with a bunch of blood cannons,” Fleet recalls. “When the body rips in half and explodes, there is a practical component. We rained down a bunch of real blood and guts right in front of Huey. It’s a known joke that we like to douse Jack Quaid with blood as much as possible! In this case, the special effects team led by Hudson Kenny needed to test it the day before, and I said, “I’ll be the guinea pig for the test.’ They covered the whole place with plastic like it was a Dexter kill room because you don’t want to destroy the set. I’m standing there in a white hazmat suit with goggles on, covered from head to toe in plastic and waiting as they’re tweaking all of these things. It sounds like World War II going on. They’re on walkie talkies to each other, and then all of a sudden, it’s ‘Five, four, three, two, one…’  And I get exploded with blood. I wanted to see what it was like, and it’s intense.” “On set, we have a cartoon of what is going to be done, and you’ll be amazed, specifically for action and heavy visual effects stuff, how close those shots are to the previs when we finish.” —Stephan Fleet, VFX Supervisor The Deep has a love affair with an octopus called Ambrosius, voiced by Tilda Swinton. “It’s implied bestiality!” Fleet laughs. “I would call it more of a romance. What was fun from my perspective is that I knew what the look was going to be, so then it’s about putting in the details and the animation. One of the instincts that you always have when you’re making a sea creature that talks to a humanyou tend to want to give it human gestures and eyebrows. Erik Kripkesaid, ‘No. We have to find things that an octopus could do that conveys the same emotion.’ That’s when ideas came in, such as putting a little The Deep toy inside the water tank. When Ambrosius is trying to have an intimate moment or connect with him, she can wrap a tentacle around that. My favorite experience doing Ambrosius was when The Deep is reading poetry to her on a bed. CG creatures touching humans is one of the more complicated things to do and make look real. Ambrosius’ tentacles reach for his arm, and it becomes an intimate moment. More than touching the skin, displacing the bedsheet as Ambrosius moved ended up becoming a lot of CG, and we had to go back and forth a few times to get that looking right; that turned out to be tricky.” A building is replaced by a massive crowd attending a rally being held by Homelander. In a twisted form of sexual foreplay, Sister Sage has The Deep perform a transorbital lobotomy on her. “Thank you, Amazon for selling lobotomy tools as novelty items!” Fleet chuckles. “We filmed it with a lobotomy tool on set. There is a lot of safety involved in doing something like that. Obviously, you don’t want to put any performer in any situation where they come close to putting anything real near their eye. We created this half lobotomy tool and did this complicated split screen with the lobotomy tool on a teeter totter. The Deep wasin one shot and Sister Sage reacted in the other shot. To marry the two ended up being a lot of CG work. Then there are these close-ups which are full CG. I always keep a dummy head that is painted gray that I use all of the time for reference. In macrophotography I filmed this lobotomy tool going right into the eye area. I did that because the tool is chrome, so it’s reflective and has ridges. It has an interesting reflective property. I was able to see how and what part of the human eye reflects onto the tool. A lot of that shot became about realistic reflections and lighting on the tool. Then heavy CG for displacing the eye and pushing the lobotomy tool into it. That was one of the more complicated sequences that we had to achieve.” In order to create an intimate moment between Ambrosius and The Deep, a toy version of the superhero was placed inside of the water tank that she could wrap a tentacle around. “The word that we like to use on this show is ‘grounded,’ and I like to say ‘grounded’ with an asterisk in this day and age because we’re grounded until we get to killing people in the craziest ways. In this case, having someone floating in the air and being ripped in half by two tendrils was all CG.” —Stephan Fleet, VFX Supervisor Sheep and chickens embark on a violent rampage courtesy of Compound V with the latter piercing the chest of a bodyguard belonging to Victoria Neuman. “Weirdly, that was one of our more traditional shots,’ Fleet states. “What is fun about that one is I asked for real chickens as reference. The chicken flying through his chest is real. It’s our chicken wrangler in green suit gently tossing a chicken. We blended two real plates together with some CG in the middle.” A connection was made with a sci-fi classic. “The sheep kill this bull, and we shot it is in this narrow corridor of fencing. When they run, I always equated it as the Trench Run in Star Wars and looked at the sheep as TIE fighters or X-wings coming at them.” The scene was one of the scarier moments for the visual effects team. Fleet explains, “When I read the script, I thought this could be the moment where we jump the shark. For the shots where the sheep are still and scream to the camera, Untold Studios did a bunch of R&D and came up with baboon teeth. I tried to keep anything real as much as possible, but, obviously, when sheep are flying, they have to be CG. I call it the Battlestar Galactica theory, where I like to shake the camera, overshoot shots and make it sloppy when they’re in the air so you can add motion blur. Comedy also helps sell visual effects.” The sheep injected with Compound V develop the ability to fly and were shot in an imperfect manner to help ground the scenes. Once injected with Compound V, Hugh Campbell Sr.develops the ability to phase through objects, including human beings. “We called it the Bro-nut because his name in the script is Wall Street Bro,” Fleet notes. “That was a complicated motion control shot, repeating the move over and over again. We had to shoot multiple plates of Simon Pegg and the guy in the bed. Special effects and prosthetics created a dummy guy with a hole in his chest with practical blood dripping down. It was meshing it together and getting the timing right in post. On top of that, there was the CG blood immediately around Simon Pegg.” The phasing effect had to avoid appearing as a dissolve. “I had this idea of doing high-frequency vibration on the X axis loosely based on how The Flash vibrates through walls. You want everything to have a loose motivation that then helps trigger the visuals. We tried not to overcomplicate that because, ultimately, you want something like that to be quick. If you spend too much time on phasing, it can look cheesy. In our case, it was a lot of false walls. Simon Pegg is running into a greenscreen hole which we plug in with a wall or coming out of one. I went off the actor’s action, and we added a light opacity mix with some X-axis shake.” Providing a different twist to the fights was the replacement of spurting blood with photoreal rubber duckies during a drug-induced hallucination. Homelanderbreaks a mirror which emphasizes his multiple personality disorder. “The original plan was that special effects was going to pre-break a mirror, and we were going to shoot Anthony Starr moving his head doing all of the performances in the different parts of the mirror,” Fleet reveals. “This was all based on a photo that my ex-brother-in-law sent me. He was walking down a street in Glendale, California, came across a broken mirror that someone had thrown out, and took a photo of himself where he had five heads in the mirror. We get there on the day, and I’m realizing that this is really complicated. Anthony has to do these five different performances, and we have to deal with infinite mirrors. At the last minute, I said, ‘We have to do this on a clean mirror.’ We did it on a clear mirror and gave Anthony different eyelines. The mirror break was all done in post, and we were able to cheat his head slightly and art-direct where the break crosses his chin. Editorial was able to do split screens for the timing of the dialogue.” “For the shots where the sheep are still and scream to the camera, Untold Studios did a bunch of R&D and came up with baboon teeth. I tried to keep anything real as much as possible, but, obviously, when sheep are flying, they have to be CG. I call it the Battlestar Galactica theory, where I like to shake the camera, overshoot shots and make it sloppy when they’re in the air so you can add motion blur. Comedy also helps sell visual effects.” —Stephan Fleet, VFX Supervisor Initially, the plan was to use a practical mirror, but creating a digital version proved to be the more effective solution. A different spin on the bloodbath occurs during a fight when a drugged Frenchiehallucinates as Kimiko Miyashirogoes on a killing spree. “We went back and forth with a lot of different concepts for what this hallucination would be,” Fleet remarks. “When we filmed it, we landed on Frenchie having a synesthesia moment where he’s seeing a lot of abstract colors flying in the air. We started getting into that in post and it wasn’t working. We went back to the rubber duckies, which goes back to the story of him in the bathtub. What’s in the bathtub? Rubber duckies, bubbles and water. There was a lot of physics and logic required to figure out how these rubber duckies could float out of someone’s neck. We decided on bubbles when Kimiko hits people’s heads. At one point, we had water when she got shot, but it wasn’t working, so we killed it. We probably did about 100 different versions. We got really detailed with our rubber duckie modeling because we didn’t want it to look cartoony. That took a long time.” Ambrosius, voiced by Tilda Swinton, gets a lot more screentime in Season 4. When Splintersplits in two was achieved heavily in CG. “Erik threw out the words ‘cellular mitosis’ early on as something he wanted to use,” Fleet states. “We shot Rob Benedict on a greenscreen doing all of the different performances for the clones that pop out. It was a crazy amount of CG work with Houdini and particle and skin effects. We previs’d the sequence so we had specific actions. One clone comes out to the right and the other pulls backwards.” What tends to go unnoticed by many is Splinter’s clones setting up for a press conference being held by Firecracker. “It’s funny how no one brings up the 22-hour motion control shot that we had to do with Splinter on the stage, which was the most complicated shot!” Fleet observes. “We have this sweeping long shot that brings you into the room and follows Splinter as he carries a container to the stage and hands it off to a clone, and then you reveal five more of them interweaving each other and interacting with all of these objects. It’s like a minute-long dance. First off, you have to choreograph it. We previs’d it, but then you need to get people to do it. We hired dancers and put different colored armbands on them. The camera is like another performer, and a metronome is going, which enables you to find a pace. That took about eight hours of rehearsal. Then Rob has to watch each one of their performances and mimic it to the beat. When he is handing off a box of cables, it’s to a double who is going to have to be erased and be him on the other side. They have to be almost perfect in their timing and lineup in order to take it over in visual effects and make it work.” #bouncing #rubber #duckies #flying #sheep

This GFN Thursday rolls out a new reward and games for GeForce NOW members. Whether hunting for hot new releases or rediscovering timeless classics, members can always find more ways to play, games to stream and perks to enjoy. Gamers can score major discounts on the titles they’ve been eyeing — perfect for streaming in the cloud — during the Steam Summer Sale, running until Thursday, July 10, at 10 a.m. PT. This week also brings unforgettable adventures to the cloud: We Happy Few and Broken Age are part of the five additions to the GeForce NOW library this week. The fun doesn’t stop there. A new in-game reward for Elder Scrolls Online is now available for members to claim. And SteelSeries has launched a new mobile controller that transforms phones into cloud gaming devices with GeForce NOW. Add it to the roster of on-the-go gaming devices — including the recently launched GeForce NOW app on Steam Deck for seamless 4K streaming. Scroll Into Power GeForce NOW Premium members receive exclusive 24-hour early access to a new mythical reward in The Elder Scrolls Online — Bethesda’s award-winning role-playing game — before it opens to all members. Sharpen the sword, ready the staff and chase glory across the vast, immersive world of Tamriel. Fortune favors the bold. Claim the mythical Grand Gold Coast Experience Scrolls reward, a rare item that grants a bonus of 150% Experience Points from all sources for one hour. The scroll’s effect pauses while players are offline and resumes upon return, ensuring every minute counts. Whether tackling dungeon runs, completing epic quests or leveling a new character, the scrolls provide a powerful edge. Claim the reward, harness its power and scroll into the next adventure. Members who’ve opted into the GeForce NOW Rewards program can check their emails for redemption instructions. The offer runs through Saturday, July 26, while supplies last. Don’t miss this opportunity to become a legend in Tamriel. Steam Up Summer The Steam Summer Sale is in full swing. Snag games at discounted prices and stream them instantly from the cloud — no downloads, no waiting, just pure gaming bliss. Treat yourself. Check out the “Steam Summer Sale” row in the GeForce NOW app to find deals on the next adventure. With GeForce NOW, gaming favorites are always just a click away. While picking up discounted games, don’t miss the chance to get a GeForce NOW six-month Performance membership at 40% off. This is also the last opportunity to take advantage of the Performance Day Pass sale, ending Friday, June 27 — which lets gamers access cloud gaming for 24 hours — before diving into the 6-month Performance membership. Find Adventure Two distinct worlds — where secrets simmer and imagination runs wild — are streaming onto the cloud this week. Keep calm and blend in. Step into the surreal, retro-futuristic streets of We Happy Few, where a society obsessed with happiness hides its secrets behind a mask of forced cheer and a haze of “Joy.” This darkly whimsical adventure invites players to blend in, break out and uncover the truth lurking beneath the surface of Wellington Wells. Two worlds, one wild destiny. Broken Age spins a charming, hand-painted tale of two teenagers leading parallel lives in worlds at once strange and familiar. One of the teens yearns to escape a stifling spaceship, and the other is destined to challenge ancient traditions. With witty dialogue and heartfelt moments, Broken Age is a storybook come to life, brimming with quirky characters and clever puzzles. Each of these unforgettable adventures brings its own flavor — be it dark satire, whimsical wonder or pulse-pounding suspense — offering a taste of gaming at its imaginative peaks. Stream these captivating worlds straight from the cloud and enjoy seamless gameplay, no downloads or high-end hardware required. An Ultimate Controller Elevated gaming. Get ready for the SteelSeries Nimbus Cloud, a new dual-mode cloud controller. When paired with GeForce NOW, this new controller reaches new heights. Designed for versatility and comfort, and crafted specifically for cloud gaming, the SteelSeries Nimbus Cloud effortlessly shifts from a mobile device controller to a full-sized wireless controller, delivering top-notch performance and broad compatibility across devices. The Nimbus Cloud enables gamers to play wherever they are, as it easily adapts to fit iPhones and Android phones. Or collapse and connect the controller via Bluetooth to a gaming rig or smart TV. Transform any space into a personal gaming station with GeForce NOW and the Nimbus Cloud, part of the list of recommended products for an elevated cloud gaming experience. Gaming Never Sleeps “System Shock 2” — now with 100% more existential dread. System Shock 2: 25th Anniversary Remaster is an overhaul of the acclaimed sci-fi horror classic, rebuilt by Nightdive Studios with enhanced visuals, refined gameplay and features such as cross-play co-op multiplayer. Face the sinister AI SHODAN and her mutant army aboard the starship Von Braun as a cybernetically enhanced soldier with upgradable skills, powerful weapons and psionic abilities. Stream the title from the cloud with GeForce NOW for ultimate flexibility and performance. Look for the following games available to stream in the cloud this week: System Shock 2: 25th Anniversary RemasterBroken AgeEasy Red 2Sandwich SimulatorWe Happy FewWhat are you planning to play this weekend? Let us know on X or in the comments below. The official GFN summer bucket list Play anywhere Stream on every screen you own Finally crush that backlog Skip every single download bar Drop the emoji for the one you’re tackling right now — NVIDIA GeForce NOWJune 25, 2025 #game #with #geforce #now #membership

🌟✨ Exciting news for space enthusiasts! 🚀 A small, innovative company is stepping up to challenge the legendary Moonwatch with a groundbreaking new watch designed specifically for space exploration! 🌌🎉 This amazing timepiece is 3D-printed, lightweight, and perfectly engineered for Extra-Vehicular Activities (EVAs) and repairs on the International Space Station (ISS). ⏱️✨ Imagine having a watch that can withstand the harshest environments known to humanity while keeping impeccable time! 🕒💪 The future is bright, and innovation knows no bounds! Let's dream big and reach for the stars! 🌠🔭 #SpaceExploration #Innovation #Timepiece #Moonwatch #AstronautLife

🎉✨ Hello, amazing friends! Today, I am absolutely thrilled to share an extraordinary breakthrough in the world of medical science that is sure to inspire all of us! 💖🚀 Imagine a child, full of dreams and laughter, facing challenges that seem insurmountable. Now, picture a groundbreaking innovation that not only transforms lives but also brings hope and joy back into the heart of a family! This is exactly what the pioneering achievement of the first-ever complete femur transplant printed in 3D for a pediatric patient represents! 🦴💫 In our latest edition of #3DExpress, we celebrate this remarkable milestone where technology and compassion intersect! 🎊 The power of 3D printing is revolutionizing medicine, making the impossible possible. This incredible prosthesis wasn’t just designed; it was tailored specifically for a young hero who needed it the most. The precision and customization that 3D printing allows means that every single detail is crafted to fit perfectly, ensuring comfort and functionality. How amazing is that? 🌈👏 This isn't just a medical achievement; it's a story of resilience, hope, and the unyielding spirit of innovation! 💪🌟 It reminds us that every challenge faced can lead to solutions we once thought were out of reach. As we follow the journey of this young patient, we are reminded of the strength of community and the power of support. Together, we can uplift each other, foster creativity, and inspire breakthroughs that change lives! 🌍❤️ Let's take a moment to appreciate the brilliant minds working tirelessly in the fields of medicine and technology. Their dedication and ingenuity are paving the way for a brighter future where all children can thrive, free from limitations! This is not just about science; it's about hope, possibilities, and the relentless pursuit of a better tomorrow! 🌅💕 So, to every innovator, dreamer, and believer out there, keep pushing boundaries! The world needs your light! Let’s celebrate this wonderful achievement and continue to spread positivity and support for those who are working to make the world a better place, one innovation at a time! 🌟🌈 Together, we can build a future filled with hope and healing, where every child can dance, run, and play without fear! Let’s keep the momentum going! #3DPrinting #MedicalInnovation #HopeAndHealing #ChildrensHealth #Inspiration

generative engine optimization, AI-powered search, content optimization, search engines, ChatGPT, Google SEO, digital marketing, AI content strategies, online visibility, future of search ## Introduction In the evolving landscape of digital marketing, the term Generative Engine Optimization (GEO) has surfaced as a significant development. This practice revolves around optimizing content specifically for AI-powered search engines, such as ChatGPT and Google. As search engines continue to incorp...

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

Menu Home News Hardware Gaming Mobile Finance Deals Reviews How To Wccftech Apple’s A20 Rumored To Be Exclusive To The iPhone 18 Pro, iPhone 18 Pro Max And The Company’s Foldable Flagship, Will Leverage TSMC’s Advanced 2nm Process Combined With The Newer WMCM Packaging Omar Sohail • Jun 16, 2025 at 02:00am EDT TSMC might have started accepting orders for its 2nm wafers, but the first chipsets fabricated on this cutting-edge lithography are not expected to arrive until late next year. As the majority of you are well aware, Apple likely pounced on the opportunity to be the first recipient of this technology, with its A20 rumored to be mass produced on the 2nm process. However, the same rumor claims that the Cupertino firm will employ the foundry giant’s WMCMpackaging, bringing in more benefits, but customers can only experience these if they intend on making the iPhone 18 Pro, iPhone 18 Pro Max, or Apple’s upcoming foldable flagship their daily driver. The latest rumor also claims that Apple will not be upping the RAM count on any iPhone model that will ship with the A20 The efforts to bring WMCM packaging to the A20 will be highly beneficial for Apple because it will allow the latter to maintain the chipset’s footprint while having immense flexibility in combining different components. In short, multiple dies such as the CPU, GPU, memory, and other parts can be integrated at a wafer level, before being sliced into individual chips. This approach will help Apple to mass manufacture smaller chipsets that are considerably power-efficient, but also powerful at the same time, leading to an incredible ‘performance per watt’ metric. China Times reports that this A20 upgrade will arrive for the iPhone 18 Pro, the iPhone 18 Pro Max, and Apple’s foldable flagship, which the rumor refers to as the iPhone 18 Fold. TSMC’s production line specifically for WMCM chipsets will be located in Chiayi AP7, with an estimated monthly production capacity of 50,000 pieces by the end of 2026. Interestingly, the RAM count will not change from this year, with Apple said to retain the 12GB limit. We have reported about the iPhone 18 series shifting to TSMC’s WMCM packaging before, while also talking about a separate rumor claiming that the A20 will be 15 percent faster than the A19 at the same power draw. The rumor does not mention whether the less expensive iPhone 18 models will be treated to chipsets featuring WMCM packaging, or if Apple intends to save on design and production costs by sticking with the older Integrated Fan-Outpackaging. All of these answers will be provided in the fourth quarter of 2026, when the iPhone 18 family goes official, so stay tuned. News Source: China Times Subscribe to get an everyday digest of the latest technology news in your inbox Follow us on Topics Sections Company Some posts on wccftech.com may contain affiliate links. We are a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to amazon.com © 2025 WCCF TECH INC. 700 - 401 West Georgia Street, Vancouver, BC, Canada #apples #a20 #rumored #exclusive #iphone

Enterprise artificial intelligence investment is unprecedented, with IDC projecting global spending on AI and GenAI to double to billion by 2028. Yet beneath the impressive budget allocations and boardroom enthusiasm lies a troubling reality: most organisations struggle to translate their AI ambitions into operational success.The sobering statistics behind AI’s promiseModelOp’s 2025 AI Governance Benchmark Report, based on input from 100 senior AI and data leaders at Fortune 500 enterprises, reveals a disconnect between aspiration and execution.While more than 80% of enterprises have 51 or more generative AI projects in proposal phases, only 18% have successfully deployed more than 20 models into production.The execution gap represents one of the most significant challenges facing enterprise AI today. Most generative AI projects still require 6 to 18 months to go live – if they reach production at all.The result is delayed returns on investment, frustrated stakeholders, and diminished confidence in AI initiatives in the enterprise.The cause: Structural, not technical barriersThe biggest obstacles preventing AI scalability aren’t technical limitations – they’re structural inefficiencies plaguing enterprise operations. The ModelOp benchmark report identifies several problems that create what experts call a “time-to-market quagmire.”Fragmented systems plague implementation. 58% of organisations cite fragmented systems as the top obstacle to adopting governance platforms. Fragmentation creates silos where different departments use incompatible tools and processes, making it nearly impossible to maintain consistent oversight in AI initiatives.Manual processes dominate despite digital transformation. 55% of enterprises still rely on manual processes – including spreadsheets and email – to manage AI use case intake. The reliance on antiquated methods creates bottlenecks, increases the likelihood of errors, and makes it difficult to scale AI operations.Lack of standardisation hampers progress. Only 23% of organisations implement standardised intake, development, and model management processes. Without these elements, each AI project becomes a unique challenge requiring custom solutions and extensive coordination by multiple teams.Enterprise-level oversight remains rare Just 14% of companies perform AI assurance at the enterprise level, increasing the risk of duplicated efforts and inconsistent oversight. The lack of centralised governance means organisations often discover they’re solving the same problems multiple times in different departments.The governance revolution: From obstacle to acceleratorA change is taking place in how enterprises view AI governance. Rather than seeing it as a compliance burden that slows innovation, forward-thinking organisations recognise governance as an important enabler of scale and speed.Leadership alignment signals strategic shift. The ModelOp benchmark data reveals a change in organisational structure: 46% of companies now assign accountability for AI governance to a Chief Innovation Officer – more than four times the number who place accountability under Legal or Compliance. This strategic repositioning reflects a new understanding that governance isn’t solely about risk management, but can enable innovation.Investment follows strategic priority. A financial commitment to AI governance underscores its importance. According to the report, 36% of enterprises have budgeted at least million annually for AI governance software, while 54% have allocated resources specifically for AI Portfolio Intelligence to track value and ROI.What high-performing organisations do differentlyThe enterprises that successfully bridge the ‘execution gap’ share several characteristics in their approach to AI implementation:Standardised processes from day one. Leading organisations implement standardised intake, development, and model review processes in AI initiatives. Consistency eliminates the need to reinvent workflows for each project and ensures that all stakeholders understand their responsibilities.Centralised documentation and inventory. Rather than allowing AI assets to proliferate in disconnected systems, successful enterprises maintain centralised inventories that provide visibility into every model’s status, performance, and compliance posture.Automated governance checkpoints. High-performing organisations embed automated governance checkpoints throughout the AI lifecycle, helping ensure compliance requirements and risk assessments are addressed systematically rather than as afterthoughts.End-to-end traceability. Leading enterprises maintain complete traceability of their AI models, including data sources, training methods, validation results, and performance metrics.Measurable impact of structured governanceThe benefits of implementing comprehensive AI governance extend beyond compliance. Organisations that adopt lifecycle automation platforms reportedly see dramatic improvements in operational efficiency and business outcomes.A financial services firm profiled in the ModelOp report experienced a halving of time to production and an 80% reduction in issue resolution time after implementing automated governance processes. Such improvements translate directly into faster time-to-value and increased confidence among business stakeholders.Enterprises with robust governance frameworks report the ability to many times more models simultaneously while maintaining oversight and control. This scalability lets organisations pursue AI initiatives in multiple business units without overwhelming their operational capabilities.The path forward: From stuck to scaledThe message from industry leaders that the gap between AI ambition and execution is solvable, but it requires a shift in approach. Rather than treating governance as a necessary evil, enterprises should realise it enables AI innovation at scale.Immediate action items for AI leadersOrganisations looking to escape the ‘time-to-market quagmire’ should prioritise the following:Audit current state: Conduct an assessment of existing AI initiatives, identifying fragmented processes and manual bottlenecksStandardise workflows: Implement consistent processes for AI use case intake, development, and deployment in all business unitsInvest in integration: Deploy platforms to unify disparate tools and systems under a single governance frameworkEstablish enterprise oversight: Create centralised visibility into all AI initiatives with real-time monitoring and reporting abilitiesThe competitive advantage of getting it rightOrganisations that can solve the execution challenge will be able to bring AI solutions to market faster, scale more efficiently, and maintain the trust of stakeholders and regulators.Enterprises that continue with fragmented processes and manual workflows will find themselves disadvantaged compared to their more organised competitors. Operational excellence isn’t about efficiency but survival.The data shows enterprise AI investment will continue to grow. Therefore, the question isn’t whether organisations will invest in AI, but whether they’ll develop the operational abilities necessary to realise return on investment. The opportunity to lead in the AI-driven economy has never been greater for those willing to embrace governance as an enabler not an obstacle. #execution #gap #why #projects #dont

Starving bacteriause a microscopic harpoon—called the Type VI secretion system—to stab and kill neighboring cells. The prey burst, turning spherical and leaking nutrients, which the killers then use to survive and grow.NewsletterSign up for our email newsletter for the latest science newsBacteria are bad neighbors. And we’re not talking noisy, never-take-out-the-trash bad neighbors. We’re talking has-a-harpoon-gun-and-points-it-at-you bad neighbors. According to a new study in Science, some bacteria hunt nearby bacterial species when they’re hungry. Using a special weapon system called the Type VI Secretion System, these bacteria shoot, spill, and then absorb the nutrients from the microbes they harpoon. “The punchline is: When things get tough, you eat your neighbors,” said Glen D’Souza, a study author and an assistant professor at Arizona State University, according to a press release. “We’ve known bacteria kill each other, that’s textbook. But what we’re seeing is that it’s not just important that the bacteria have weapons to kill, but they are controlling when they use those weapons specifically for situations to eat others where they can’t grow themselves.” According to the study authors, the research doesn’t just have implications for bacterial neighborhoods; it also has implications for human health and medicine. By harnessing these bacterial weapons, it may be possible to build better targeted antibiotics, designed to overcome antibiotic resistance. Ruthless Bacteria Use HarpoonsResearchers have long known that some bacteria can be ruthless, using weapons like the T6SS to clear out their competition. A nasty tool, the T6SS is essentially a tiny harpoon gun with a poison-tipped needle. When a bacterium shoots the weapon into another bacterium from a separate species, the needle pierces the microbe without killing it. Then, it injects toxins into the microbe that cause its internal nutrients to spill out.Up until now, researchers thought that this weapon helped bacteria eliminate their competition for space and for food, but after watching bacteria use the T6SS to attack their neighbors when food was scarce, the study authors concluded that these tiny harpooners use the weapon not only to remove rivals, but also to consume their competitors’ leaked nutrients.“Watching these cells in action really drives home how resourceful bacteria can be,” said Astrid Stubbusch, another study author and a researcher who worked on the study while at ETH Zurich, according to the press release. “By slowly releasing nutrients from their neighbors, they maximize their nutrient harvesting when every molecule counts.” Absorbing Food From NeighborsTo show that the bacteria used this system to eat when there was no food around, the study authors compared their attacks in both nutrient-rich and nutrient-poor environments. When supplied with ample resources, the bacteria used their harpoons to kill their neighbors quickly, with the released nutrients leaking out and dissolving immediately. But when resources were few and far between, they used their harpoons to kill their neighbors slowly, with the nutrients seeping out and sticking around. “This difference in dissolution time could mean that the killer cells load their spears with different toxins,” D’Souza said in another press release. While one toxin could eliminate the competition for space and for food when nutrients are available, another could create a food source, allowing bacteria to “absorb as many nutrients as possible” when sustenance is in short supply.Because of all this, this weapon system is more than ruthless; it’s also smart, and important to some species’ survival. When genetically unedited T6SS bacteria were put in an environment without food, they survived on spilled nutrients. But when genetically edited T6SS bacteria were placed in a similar environment, they died, because their ability to find food in their neighbors had been “turned off.”Harnessing Bacterial HarpoonsAccording to the study authors, the T6SS system is widely used by bacteria, both in and outside the lab. “It’s present in many different environments,” D’Souza said in one of the press releases. “It’s operational and happening in nature, from the oceans to the human gut.” The study authors add that their research could change the way we think about bacteria and could help in our fight against antibiotic resistance. In fact, the T6SS could one day serve as a foundation for targeted drug delivery systems, which could mitigate the development of broader bacterial resistance to antibiotics. But before that can happen, however, researchers have to learn more about bacterial harpoons, and about when and how bacteria use them, both to beat and eat their neighbors.Article SourcesOur writers at Discovermagazine.com use peer-reviewed studies and high-quality sources for our articles, and our editors review for scientific accuracy and editorial standards. Review the sources used below for this article:Sam Walters is a journalist covering archaeology, paleontology, ecology, and evolution for Discover, along with an assortment of other topics. Before joining the Discover team as an assistant editor in 2022, Sam studied journalism at Northwestern University in Evanston, Illinois.1 free article leftWant More? Get unlimited access for as low as /monthSubscribeAlready a subscriber?Register or Log In1 free articleSubscribeWant more?Keep reading for as low as !SubscribeAlready a subscriber?Register or Log In #hungry #bacteria #hunt #their #neighbors