• Plug and Play: Build a G-Assist Plug-In Today

    Project G-Assist — available through the NVIDIA App — is an experimental AI assistant that helps tune, control and optimize NVIDIA GeForce RTX systems.
    NVIDIA’s Plug and Play: Project G-Assist Plug-In Hackathon — running virtually through Wednesday, July 16 — invites the community to explore AI and build custom G-Assist plug-ins for a chance to win prizes and be featured on NVIDIA social media channels.

    G-Assist allows users to control their RTX GPU and other system settings using natural language, thanks to a small language model that runs on device. It can be used from the NVIDIA Overlay in the NVIDIA App without needing to tab out or switch programs. Users can expand its capabilities via plug-ins and even connect it to agentic frameworks such as Langflow.
    Below, find popular G-Assist plug-ins, hackathon details and tips to get started.
    Plug-In and Win
    Join the hackathon by registering and checking out the curated technical resources.
    G-Assist plug-ins can be built in several ways, including with Python for rapid development, with C++ for performance-critical apps and with custom system interactions for hardware and operating system automation.
    For those that prefer vibe coding, the G-Assist Plug-In Builder — a ChatGPT-based app that allows no-code or low-code development with natural language commands — makes it easy for enthusiasts to start creating plug-ins.
    To submit an entry, participants must provide a GitHub repository, including source code file, requirements.txt, manifest.json, config.json, a plug-in executable file and READme code.
    Then, submit a video — between 30 seconds and two minutes — showcasing the plug-in in action.
    Finally, hackathoners must promote their plug-in using #AIonRTXHackathon on a social media channel: Instagram, TikTok or X. Submit projects via this form by Wednesday, July 16.
    Judges will assess plug-ins based on three main criteria: 1) innovation and creativity, 2) technical execution and integration, reviewing technical depth, G-Assist integration and scalability, and 3) usability and community impact, aka how easy it is to use the plug-in.
    Winners will be selected on Wednesday, Aug. 20. First place will receive a GeForce RTX 5090 laptop, second place a GeForce RTX 5080 GPU and third a GeForce RTX 5070 GPU. These top three will also be featured on NVIDIA’s social media channels, get the opportunity to meet the NVIDIA G-Assist team and earn an NVIDIA Deep Learning Institute self-paced course credit.
    Project G-Assist requires a GeForce RTX 50, 40 or 30 Series Desktop GPU with at least 12GB of VRAM, Windows 11 or 10 operating system, a compatible CPU, specific disk space requirements and a recent GeForce Game Ready Driver or NVIDIA Studio Driver.
    Plug-InExplore open-source plug-in samples available on GitHub, which showcase the diverse ways on-device AI can enhance PC and gaming workflows.

    Popular plug-ins include:

    Google Gemini: Enables search-based queries using Google Search integration and large language model-based queries using Gemini capabilities in real time without needing to switch programs from the convenience of the NVIDIA App Overlay.
    Discord: Enables users to easily share game highlights or messages directly to Discord servers without disrupting gameplay.
    IFTTT: Lets users create automations across hundreds of compatible endpoints to trigger IoT routines — such as adjusting room lights and smart shades, or pushing the latest gaming news to a mobile device.
    Spotify: Lets users control Spotify using simple voice commands or the G-Assist interface to play favorite tracks and manage playlists.
    Twitch: Checks if any Twitch streamer is currently live and can access detailed stream information such as titles, games, view counts and more.

    Get G-Assist 
    Join the NVIDIA Developer Discord channel to collaborate, share creations and gain support from fellow AI enthusiasts and NVIDIA staff.
    the date for NVIDIA’s How to Build a G-Assist Plug-In webinar on Wednesday, July 9, from 10-11 a.m. PT, to learn more about Project G-Assist capabilities, discover the fundamentals of building, testing and deploying Project G-Assist plug-ins, and participate in a live Q&A session.
    Explore NVIDIA’s GitHub repository, which provides everything needed to get started developing with G-Assist, including sample plug-ins, step-by-step instructions and documentation for building custom functionalities.
    Learn more about the ChatGPT Plug-In Builder to transform ideas into functional G-Assist plug-ins with minimal coding. The tool uses OpenAI’s custom GPT builder to generate plug-in code and streamline the development process.
    NVIDIA’s technical blog walks through the architecture of a G-Assist plug-in, using a Twitch integration as an example. Discover how plug-ins work, how they communicate with G-Assist and how to build them from scratch.
    Each week, the RTX AI Garage blog series features community-driven AI innovations and content for those looking to learn more about NVIDIA NIM microservices and AI Blueprints, as well as building AI agents, creative workflows, digital humans, productivity apps and more on AI PCs and workstations. 
    Plug in to NVIDIA AI PC on Facebook, Instagram, TikTok and X — and stay informed by subscribing to the RTX AI PC newsletter.
    Follow NVIDIA Workstation on LinkedIn and X. 
    See notice regarding software product information.
    #plug #play #build #gassist #plugin
    Plug and Play: Build a G-Assist Plug-In Today
    Project G-Assist — available through the NVIDIA App — is an experimental AI assistant that helps tune, control and optimize NVIDIA GeForce RTX systems. NVIDIA’s Plug and Play: Project G-Assist Plug-In Hackathon — running virtually through Wednesday, July 16 — invites the community to explore AI and build custom G-Assist plug-ins for a chance to win prizes and be featured on NVIDIA social media channels. G-Assist allows users to control their RTX GPU and other system settings using natural language, thanks to a small language model that runs on device. It can be used from the NVIDIA Overlay in the NVIDIA App without needing to tab out or switch programs. Users can expand its capabilities via plug-ins and even connect it to agentic frameworks such as Langflow. Below, find popular G-Assist plug-ins, hackathon details and tips to get started. Plug-In and Win Join the hackathon by registering and checking out the curated technical resources. G-Assist plug-ins can be built in several ways, including with Python for rapid development, with C++ for performance-critical apps and with custom system interactions for hardware and operating system automation. For those that prefer vibe coding, the G-Assist Plug-In Builder — a ChatGPT-based app that allows no-code or low-code development with natural language commands — makes it easy for enthusiasts to start creating plug-ins. To submit an entry, participants must provide a GitHub repository, including source code file, requirements.txt, manifest.json, config.json, a plug-in executable file and READme code. Then, submit a video — between 30 seconds and two minutes — showcasing the plug-in in action. Finally, hackathoners must promote their plug-in using #AIonRTXHackathon on a social media channel: Instagram, TikTok or X. Submit projects via this form by Wednesday, July 16. Judges will assess plug-ins based on three main criteria: 1) innovation and creativity, 2) technical execution and integration, reviewing technical depth, G-Assist integration and scalability, and 3) usability and community impact, aka how easy it is to use the plug-in. Winners will be selected on Wednesday, Aug. 20. First place will receive a GeForce RTX 5090 laptop, second place a GeForce RTX 5080 GPU and third a GeForce RTX 5070 GPU. These top three will also be featured on NVIDIA’s social media channels, get the opportunity to meet the NVIDIA G-Assist team and earn an NVIDIA Deep Learning Institute self-paced course credit. Project G-Assist requires a GeForce RTX 50, 40 or 30 Series Desktop GPU with at least 12GB of VRAM, Windows 11 or 10 operating system, a compatible CPU, specific disk space requirements and a recent GeForce Game Ready Driver or NVIDIA Studio Driver. Plug-InExplore open-source plug-in samples available on GitHub, which showcase the diverse ways on-device AI can enhance PC and gaming workflows. Popular plug-ins include: Google Gemini: Enables search-based queries using Google Search integration and large language model-based queries using Gemini capabilities in real time without needing to switch programs from the convenience of the NVIDIA App Overlay. Discord: Enables users to easily share game highlights or messages directly to Discord servers without disrupting gameplay. IFTTT: Lets users create automations across hundreds of compatible endpoints to trigger IoT routines — such as adjusting room lights and smart shades, or pushing the latest gaming news to a mobile device. Spotify: Lets users control Spotify using simple voice commands or the G-Assist interface to play favorite tracks and manage playlists. Twitch: Checks if any Twitch streamer is currently live and can access detailed stream information such as titles, games, view counts and more. Get G-Assist  Join the NVIDIA Developer Discord channel to collaborate, share creations and gain support from fellow AI enthusiasts and NVIDIA staff. the date for NVIDIA’s How to Build a G-Assist Plug-In webinar on Wednesday, July 9, from 10-11 a.m. PT, to learn more about Project G-Assist capabilities, discover the fundamentals of building, testing and deploying Project G-Assist plug-ins, and participate in a live Q&A session. Explore NVIDIA’s GitHub repository, which provides everything needed to get started developing with G-Assist, including sample plug-ins, step-by-step instructions and documentation for building custom functionalities. Learn more about the ChatGPT Plug-In Builder to transform ideas into functional G-Assist plug-ins with minimal coding. The tool uses OpenAI’s custom GPT builder to generate plug-in code and streamline the development process. NVIDIA’s technical blog walks through the architecture of a G-Assist plug-in, using a Twitch integration as an example. Discover how plug-ins work, how they communicate with G-Assist and how to build them from scratch. Each week, the RTX AI Garage blog series features community-driven AI innovations and content for those looking to learn more about NVIDIA NIM microservices and AI Blueprints, as well as building AI agents, creative workflows, digital humans, productivity apps and more on AI PCs and workstations.  Plug in to NVIDIA AI PC on Facebook, Instagram, TikTok and X — and stay informed by subscribing to the RTX AI PC newsletter. Follow NVIDIA Workstation on LinkedIn and X.  See notice regarding software product information. #plug #play #build #gassist #plugin
    BLOGS.NVIDIA.COM
    Plug and Play: Build a G-Assist Plug-In Today
    Project G-Assist — available through the NVIDIA App — is an experimental AI assistant that helps tune, control and optimize NVIDIA GeForce RTX systems. NVIDIA’s Plug and Play: Project G-Assist Plug-In Hackathon — running virtually through Wednesday, July 16 — invites the community to explore AI and build custom G-Assist plug-ins for a chance to win prizes and be featured on NVIDIA social media channels. G-Assist allows users to control their RTX GPU and other system settings using natural language, thanks to a small language model that runs on device. It can be used from the NVIDIA Overlay in the NVIDIA App without needing to tab out or switch programs. Users can expand its capabilities via plug-ins and even connect it to agentic frameworks such as Langflow. Below, find popular G-Assist plug-ins, hackathon details and tips to get started. Plug-In and Win Join the hackathon by registering and checking out the curated technical resources. G-Assist plug-ins can be built in several ways, including with Python for rapid development, with C++ for performance-critical apps and with custom system interactions for hardware and operating system automation. For those that prefer vibe coding, the G-Assist Plug-In Builder — a ChatGPT-based app that allows no-code or low-code development with natural language commands — makes it easy for enthusiasts to start creating plug-ins. To submit an entry, participants must provide a GitHub repository, including source code file (plugin.py), requirements.txt, manifest.json, config.json (if applicable), a plug-in executable file and READme code. Then, submit a video — between 30 seconds and two minutes — showcasing the plug-in in action. Finally, hackathoners must promote their plug-in using #AIonRTXHackathon on a social media channel: Instagram, TikTok or X. Submit projects via this form by Wednesday, July 16. Judges will assess plug-ins based on three main criteria: 1) innovation and creativity, 2) technical execution and integration, reviewing technical depth, G-Assist integration and scalability, and 3) usability and community impact, aka how easy it is to use the plug-in. Winners will be selected on Wednesday, Aug. 20. First place will receive a GeForce RTX 5090 laptop, second place a GeForce RTX 5080 GPU and third a GeForce RTX 5070 GPU. These top three will also be featured on NVIDIA’s social media channels, get the opportunity to meet the NVIDIA G-Assist team and earn an NVIDIA Deep Learning Institute self-paced course credit. Project G-Assist requires a GeForce RTX 50, 40 or 30 Series Desktop GPU with at least 12GB of VRAM, Windows 11 or 10 operating system, a compatible CPU (Intel Pentium G Series, Core i3, i5, i7 or higher; AMD FX, Ryzen 3, 5, 7, 9, Threadripper or higher), specific disk space requirements and a recent GeForce Game Ready Driver or NVIDIA Studio Driver. Plug-In(spiration) Explore open-source plug-in samples available on GitHub, which showcase the diverse ways on-device AI can enhance PC and gaming workflows. Popular plug-ins include: Google Gemini: Enables search-based queries using Google Search integration and large language model-based queries using Gemini capabilities in real time without needing to switch programs from the convenience of the NVIDIA App Overlay. Discord: Enables users to easily share game highlights or messages directly to Discord servers without disrupting gameplay. IFTTT: Lets users create automations across hundreds of compatible endpoints to trigger IoT routines — such as adjusting room lights and smart shades, or pushing the latest gaming news to a mobile device. Spotify: Lets users control Spotify using simple voice commands or the G-Assist interface to play favorite tracks and manage playlists. Twitch: Checks if any Twitch streamer is currently live and can access detailed stream information such as titles, games, view counts and more. Get G-Assist(ance)  Join the NVIDIA Developer Discord channel to collaborate, share creations and gain support from fellow AI enthusiasts and NVIDIA staff. Save the date for NVIDIA’s How to Build a G-Assist Plug-In webinar on Wednesday, July 9, from 10-11 a.m. PT, to learn more about Project G-Assist capabilities, discover the fundamentals of building, testing and deploying Project G-Assist plug-ins, and participate in a live Q&A session. Explore NVIDIA’s GitHub repository, which provides everything needed to get started developing with G-Assist, including sample plug-ins, step-by-step instructions and documentation for building custom functionalities. Learn more about the ChatGPT Plug-In Builder to transform ideas into functional G-Assist plug-ins with minimal coding. The tool uses OpenAI’s custom GPT builder to generate plug-in code and streamline the development process. NVIDIA’s technical blog walks through the architecture of a G-Assist plug-in, using a Twitch integration as an example. Discover how plug-ins work, how they communicate with G-Assist and how to build them from scratch. Each week, the RTX AI Garage blog series features community-driven AI innovations and content for those looking to learn more about NVIDIA NIM microservices and AI Blueprints, as well as building AI agents, creative workflows, digital humans, productivity apps and more on AI PCs and workstations.  Plug in to NVIDIA AI PC on Facebook, Instagram, TikTok and X — and stay informed by subscribing to the RTX AI PC newsletter. Follow NVIDIA Workstation on LinkedIn and X.  See notice regarding software product information.
    Like
    Wow
    Love
    Sad
    25
    0 Commentaires 0 Parts
  • Spotify and Apple are killing the album cover, and it’s time we raised our voices against this travesty! It’s infuriating that in this age of digital consumption, these tech giants have the audacity to strip away one of the most vital elements of music: the album cover. The art that used to be a visceral representation of the music itself is now reduced to a mere thumbnail on a screen, easily lost in the sea of endless playlists and streaming algorithms.

    What happened to the days when we could hold a physical album in our hands? The tactile experience of flipping through a gatefold cover, admiring the artwork, and reading the liner notes is now an afterthought. Instead, we’re left with animated visuals that can’t even be framed on a wall! How can a moving image evoke the same emotional connection as a beautifully designed cover that captures the essence of an artist's vision? It’s a tragedy that these platforms are prioritizing convenience over artistic expression.

    The music industry needs to wake up! Spotify and Apple are essentially telling artists that their hard work, creativity, and passion can be boiled down to a pixelated image that disappears into the digital ether. This is an outright assault on the artistry of music! Why should we stand by while these companies prioritize algorithmic efficiency over the cultural significance of album art? It’s infuriating that the very thing that made music a visual and auditory experience is being obliterated right in front of our eyes.

    Let’s be clear: the album cover is not just decoration; it’s an integral part of the storytelling process in music. It sets the tone, evokes emotions, and can even influence how we perceive the music itself. When an album cover is designed with care and intention, it becomes an extension of the artist’s voice. Yet here we are, scrolling through Spotify and Apple Music, bombarded with generic visuals that do nothing to honor the artists or their work.

    Spotify and Apple need to be held accountable for this degradation of music culture. This isn’t just about nostalgia; it’s about preserving the integrity of artistic expression. We need to demand that these platforms acknowledge the importance of album covers and find ways to integrate them into our digital experiences. Otherwise, we’re on a dangerous path where music becomes nothing more than a disposable commodity.

    If we allow Spotify and Apple to continue on this trajectory, we risk losing an entire culture of artistic expression. It’s time for us as consumers to take a stand and remind these companies that music is not just about the sound; it’s about the entire experience.

    Let’s unite and fight back against this digital degradation of music artistry. We deserve better than a world where the album cover is dying a slow death. Let’s reclaim the beauty of music and its visual representation before it’s too late!

    #AlbumArt #MusicCulture #Spotify #AppleMusic #ProtectArtistry
    Spotify and Apple are killing the album cover, and it’s time we raised our voices against this travesty! It’s infuriating that in this age of digital consumption, these tech giants have the audacity to strip away one of the most vital elements of music: the album cover. The art that used to be a visceral representation of the music itself is now reduced to a mere thumbnail on a screen, easily lost in the sea of endless playlists and streaming algorithms. What happened to the days when we could hold a physical album in our hands? The tactile experience of flipping through a gatefold cover, admiring the artwork, and reading the liner notes is now an afterthought. Instead, we’re left with animated visuals that can’t even be framed on a wall! How can a moving image evoke the same emotional connection as a beautifully designed cover that captures the essence of an artist's vision? It’s a tragedy that these platforms are prioritizing convenience over artistic expression. The music industry needs to wake up! Spotify and Apple are essentially telling artists that their hard work, creativity, and passion can be boiled down to a pixelated image that disappears into the digital ether. This is an outright assault on the artistry of music! Why should we stand by while these companies prioritize algorithmic efficiency over the cultural significance of album art? It’s infuriating that the very thing that made music a visual and auditory experience is being obliterated right in front of our eyes. Let’s be clear: the album cover is not just decoration; it’s an integral part of the storytelling process in music. It sets the tone, evokes emotions, and can even influence how we perceive the music itself. When an album cover is designed with care and intention, it becomes an extension of the artist’s voice. Yet here we are, scrolling through Spotify and Apple Music, bombarded with generic visuals that do nothing to honor the artists or their work. Spotify and Apple need to be held accountable for this degradation of music culture. This isn’t just about nostalgia; it’s about preserving the integrity of artistic expression. We need to demand that these platforms acknowledge the importance of album covers and find ways to integrate them into our digital experiences. Otherwise, we’re on a dangerous path where music becomes nothing more than a disposable commodity. If we allow Spotify and Apple to continue on this trajectory, we risk losing an entire culture of artistic expression. It’s time for us as consumers to take a stand and remind these companies that music is not just about the sound; it’s about the entire experience. Let’s unite and fight back against this digital degradation of music artistry. We deserve better than a world where the album cover is dying a slow death. Let’s reclaim the beauty of music and its visual representation before it’s too late! #AlbumArt #MusicCulture #Spotify #AppleMusic #ProtectArtistry
    Like
    Love
    Wow
    Angry
    Sad
    217
    1 Commentaires 0 Parts
  • Alec Haase Q&A: Customer Engagement Book Interview

    Reading Time: 6 minutes
    What is marketing without data? Assumptions. Guesses. Fluff.
    For Chapter 6 of our book, “The Customer Engagement Book: Adapt or Die,” we spoke with Alec Haase, Product GTM Lead, Commerce and AI at Hightouch, to explore how engagement data can truly inform critical business decisions. 
    Alec discusses the different types of customer behaviors that matter most, how to separate meaningful information from the rest, and the role of systems that learn over time to create tailored customer experiences.
    This interview provides insights into using data for real-time actions and shaping the future of marketing. Prepare to learn about AI decision-making and how a focus on data is changing how we engage with customers.

     
    Alec Haase Q&A Interview
    1. What types of customer engagement data are most valuable for making strategic business decisions?
    It’s a culmination of everything.
    Behavioral signals — the actual conversions and micro-conversions that users take within your product or website.
    Obviously, that’s things like purchases. But there are also other behavioral signals marketers should be using and thinking about. Things like micro-conversions — maybe that’s shopping for a product, clicking to learn more about a product, or visiting a certain page on your website.
    Behind that, you also need to have all your user data to tie that to.

    So I know someone took said action; I can follow up with them in email or out on paid social. I need the user identifiers to do that.

    2. How do you distinguish between data that is actionable versus data that is just noise?
    Data that’s actionable includes the conversions and micro-conversions — very clear instances of “someone did this.” I can react to or measure those.
    What’s becoming a bit of a challenge for marketers is understanding that there’s other data that is valuable for machine learning or reinforcement learning models, things like tags on the types of products customers are interacting with.
    Maybe there’s category information about that product, or color information. That would otherwise look like noise to the average marketer. But behind the scenes, it can be used for reinforcement learning.

    There is definitely the “clear-cut” actionable data, but marketers shouldn’t be quick to classify things as noise because the rise in machine learning and reinforcement learning will make that data more valuable.

    3. How can customer engagement data be used to identify and prioritize new business opportunities?
    At Hightouch, we don’t necessarily think about retroactive analysis. We have a system where we have customer engagement data firing in that we then have real-time scores reacting to.
    An interesting example is when you have machine learning and reinforcement learning models running. In the pet retailer example I gave you, the system is able to figure out what to prioritize.
    The concept of reinforcement learning is not a marketer making rules to say, “I know this type of thing works well on this type of audience.”

    It’s the machine itself using the data to determine what attribute responds well to which offer, recommendation, or marketing campaign.

    4. How can marketers ensure their use of customer engagement data aligns with the broader business objectives?
    It starts with the objectives. It’s starting with the desired outcome and working your way back. That whole flip of the paradigm is starting with outcomes and letting the system optimize. What are you trying to drive, and then back into the types of experiences that can make that happen?
    There’s personalization.
    When we talk about data-driven experiences and personalization, Spotify Wrapped is the North Star. For Spotify Wrapped, you want to drive customer stickiness and create a brand. To make that happen, you want to send a personalized email. What components do you want in that email?

    Maybe it’s top five songs, top five artists, and then you can back into the actual event data you need to make that happen.

    5. What role does engagement data play in influencing cross-functional decisions such as those in product development, sales, or customer service?
    For product development, it’s product analytics — knowing what features users are using, or seeing in heat maps where users are clicking.
    Sales is similar. We’re using behavioral signals like what types of content they’re reading on the site to help inform what they would be interested in — the types of products or the types of use cases.

    For customer service, you can look at errors they’ve run into in the past or specific purchases they’ve made, so that when you’re helping them the next time they engage with you, you know exactly what their past behaviors were and what products they could be calling about.

    6. What are some challenges marketers face when trying to translate customer engagement data into actionable insights?
    Access to data is one challenge. You might not know what data you have because marketers historically may not have been used to the systems where data is stored.
    Historically, that’s been pretty siloed away from them. Rich behavioral data and other data across the business was stored somewhere else.
    Now, as more companies embrace the data warehouse at the center of their business, it gives everyone a true single place where data can be stored.

    Marketers are working more with data teams, understanding more about the data they have, and using that data to power downstream use cases, personalization, reinforcement learning, or general business insights.

    7. How do you address skepticism or resistance from stakeholders when presenting data-driven recommendations?
    As a marketer, I think proof is key. The best thing is if you’ve actually run a test. “I think we should do this. I ran a small test, and it’s showing that this is actually proving out.” Being able to clearly explain and justify your reasoning with data is super important.

    8. What technology or tools have you found most effective for gathering and analyzing customer engagement data?
    Any type of behavioral event collection, specifically ones that write to the cloud data warehouse, is the critical component. Your data team is operating off the data warehouse.
    Having an event collection product that stores data in that central spot is really important if you want to use the other data when making recommendations.
    You want to get everything into the data warehouse where it can be used both for insights and for putting into action.

    For Spotify Wrapped, you want to collect behavioral event signals like songs listened to or concerts attended, writing to the warehouse so that you can get insights back — how many songs were played this year, projections for next month — but then you can also use those behavioral events in downstream platforms to fire off personalized emails with product recommendations or Spotify Wrapped-style experiences.

    9. How do you see the role of customer engagement data evolving in shaping business strategies over the next five years?

    What we’re excited about is the concept of AI Decisioning — having AI agents actually using customer data to train their own models and decision-making to create personalized experiences.
    We’re sitting on top of all this behavioral data, engagement data, and user attributes, and our system is learning from all of that to make the best decisions across downstream systems.
    Whether that’s as simple as driving a loyalty program and figuring out what emails to send or what on-site experiences to show, or exposing insights that might lead you to completely change your business strategy, we see engagement data as the fuel to the engine of reinforcement learning, machine learning, AI agents, this whole next wave of Martech that’s just now coming.
    But it all starts with having the data to train those systems.

    I think that behavioral data is the fuel of modern Martech, and that only holds more true as Martech platforms adopt these decisioning and AI capabilities, because they’re only as good as the data that’s training the models.

     

     
    This interview Q&A was hosted with Alec Haase, Product GTM Lead, Commerce and AI at Hightouch, 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 Alec Haase Q&A: Customer Engagement Book Interview appeared first on MoEngage.
    #alec #haase #qampampa #customer #engagement
    Alec Haase Q&A: Customer Engagement Book Interview
    Reading Time: 6 minutes What is marketing without data? Assumptions. Guesses. Fluff. For Chapter 6 of our book, “The Customer Engagement Book: Adapt or Die,” we spoke with Alec Haase, Product GTM Lead, Commerce and AI at Hightouch, to explore how engagement data can truly inform critical business decisions.  Alec discusses the different types of customer behaviors that matter most, how to separate meaningful information from the rest, and the role of systems that learn over time to create tailored customer experiences. This interview provides insights into using data for real-time actions and shaping the future of marketing. Prepare to learn about AI decision-making and how a focus on data is changing how we engage with customers.   Alec Haase Q&A Interview 1. What types of customer engagement data are most valuable for making strategic business decisions? It’s a culmination of everything. Behavioral signals — the actual conversions and micro-conversions that users take within your product or website. Obviously, that’s things like purchases. But there are also other behavioral signals marketers should be using and thinking about. Things like micro-conversions — maybe that’s shopping for a product, clicking to learn more about a product, or visiting a certain page on your website. Behind that, you also need to have all your user data to tie that to. So I know someone took said action; I can follow up with them in email or out on paid social. I need the user identifiers to do that. 2. How do you distinguish between data that is actionable versus data that is just noise? Data that’s actionable includes the conversions and micro-conversions — very clear instances of “someone did this.” I can react to or measure those. What’s becoming a bit of a challenge for marketers is understanding that there’s other data that is valuable for machine learning or reinforcement learning models, things like tags on the types of products customers are interacting with. Maybe there’s category information about that product, or color information. That would otherwise look like noise to the average marketer. But behind the scenes, it can be used for reinforcement learning. There is definitely the “clear-cut” actionable data, but marketers shouldn’t be quick to classify things as noise because the rise in machine learning and reinforcement learning will make that data more valuable. 3. How can customer engagement data be used to identify and prioritize new business opportunities? At Hightouch, we don’t necessarily think about retroactive analysis. We have a system where we have customer engagement data firing in that we then have real-time scores reacting to. An interesting example is when you have machine learning and reinforcement learning models running. In the pet retailer example I gave you, the system is able to figure out what to prioritize. The concept of reinforcement learning is not a marketer making rules to say, “I know this type of thing works well on this type of audience.” It’s the machine itself using the data to determine what attribute responds well to which offer, recommendation, or marketing campaign. 4. How can marketers ensure their use of customer engagement data aligns with the broader business objectives? It starts with the objectives. It’s starting with the desired outcome and working your way back. That whole flip of the paradigm is starting with outcomes and letting the system optimize. What are you trying to drive, and then back into the types of experiences that can make that happen? There’s personalization. When we talk about data-driven experiences and personalization, Spotify Wrapped is the North Star. For Spotify Wrapped, you want to drive customer stickiness and create a brand. To make that happen, you want to send a personalized email. What components do you want in that email? Maybe it’s top five songs, top five artists, and then you can back into the actual event data you need to make that happen. 5. What role does engagement data play in influencing cross-functional decisions such as those in product development, sales, or customer service? For product development, it’s product analytics — knowing what features users are using, or seeing in heat maps where users are clicking. Sales is similar. We’re using behavioral signals like what types of content they’re reading on the site to help inform what they would be interested in — the types of products or the types of use cases. For customer service, you can look at errors they’ve run into in the past or specific purchases they’ve made, so that when you’re helping them the next time they engage with you, you know exactly what their past behaviors were and what products they could be calling about. 6. What are some challenges marketers face when trying to translate customer engagement data into actionable insights? Access to data is one challenge. You might not know what data you have because marketers historically may not have been used to the systems where data is stored. Historically, that’s been pretty siloed away from them. Rich behavioral data and other data across the business was stored somewhere else. Now, as more companies embrace the data warehouse at the center of their business, it gives everyone a true single place where data can be stored. Marketers are working more with data teams, understanding more about the data they have, and using that data to power downstream use cases, personalization, reinforcement learning, or general business insights. 7. How do you address skepticism or resistance from stakeholders when presenting data-driven recommendations? As a marketer, I think proof is key. The best thing is if you’ve actually run a test. “I think we should do this. I ran a small test, and it’s showing that this is actually proving out.” Being able to clearly explain and justify your reasoning with data is super important. 8. What technology or tools have you found most effective for gathering and analyzing customer engagement data? Any type of behavioral event collection, specifically ones that write to the cloud data warehouse, is the critical component. Your data team is operating off the data warehouse. Having an event collection product that stores data in that central spot is really important if you want to use the other data when making recommendations. You want to get everything into the data warehouse where it can be used both for insights and for putting into action. For Spotify Wrapped, you want to collect behavioral event signals like songs listened to or concerts attended, writing to the warehouse so that you can get insights back — how many songs were played this year, projections for next month — but then you can also use those behavioral events in downstream platforms to fire off personalized emails with product recommendations or Spotify Wrapped-style experiences. 9. How do you see the role of customer engagement data evolving in shaping business strategies over the next five years? What we’re excited about is the concept of AI Decisioning — having AI agents actually using customer data to train their own models and decision-making to create personalized experiences. We’re sitting on top of all this behavioral data, engagement data, and user attributes, and our system is learning from all of that to make the best decisions across downstream systems. Whether that’s as simple as driving a loyalty program and figuring out what emails to send or what on-site experiences to show, or exposing insights that might lead you to completely change your business strategy, we see engagement data as the fuel to the engine of reinforcement learning, machine learning, AI agents, this whole next wave of Martech that’s just now coming. But it all starts with having the data to train those systems. I think that behavioral data is the fuel of modern Martech, and that only holds more true as Martech platforms adopt these decisioning and AI capabilities, because they’re only as good as the data that’s training the models.     This interview Q&A was hosted with Alec Haase, Product GTM Lead, Commerce and AI at Hightouch, 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 Alec Haase Q&A: Customer Engagement Book Interview appeared first on MoEngage. #alec #haase #qampampa #customer #engagement
    WWW.MOENGAGE.COM
    Alec Haase Q&A: Customer Engagement Book Interview
    Reading Time: 6 minutes What is marketing without data? Assumptions. Guesses. Fluff. For Chapter 6 of our book, “The Customer Engagement Book: Adapt or Die,” we spoke with Alec Haase, Product GTM Lead, Commerce and AI at Hightouch, to explore how engagement data can truly inform critical business decisions.  Alec discusses the different types of customer behaviors that matter most, how to separate meaningful information from the rest, and the role of systems that learn over time to create tailored customer experiences. This interview provides insights into using data for real-time actions and shaping the future of marketing. Prepare to learn about AI decision-making and how a focus on data is changing how we engage with customers.   Alec Haase Q&A Interview 1. What types of customer engagement data are most valuable for making strategic business decisions? It’s a culmination of everything. Behavioral signals — the actual conversions and micro-conversions that users take within your product or website. Obviously, that’s things like purchases. But there are also other behavioral signals marketers should be using and thinking about. Things like micro-conversions — maybe that’s shopping for a product, clicking to learn more about a product, or visiting a certain page on your website. Behind that, you also need to have all your user data to tie that to. So I know someone took said action; I can follow up with them in email or out on paid social. I need the user identifiers to do that. 2. How do you distinguish between data that is actionable versus data that is just noise? Data that’s actionable includes the conversions and micro-conversions — very clear instances of “someone did this.” I can react to or measure those. What’s becoming a bit of a challenge for marketers is understanding that there’s other data that is valuable for machine learning or reinforcement learning models, things like tags on the types of products customers are interacting with. Maybe there’s category information about that product, or color information. That would otherwise look like noise to the average marketer. But behind the scenes, it can be used for reinforcement learning. There is definitely the “clear-cut” actionable data, but marketers shouldn’t be quick to classify things as noise because the rise in machine learning and reinforcement learning will make that data more valuable. 3. How can customer engagement data be used to identify and prioritize new business opportunities? At Hightouch, we don’t necessarily think about retroactive analysis. We have a system where we have customer engagement data firing in that we then have real-time scores reacting to. An interesting example is when you have machine learning and reinforcement learning models running. In the pet retailer example I gave you, the system is able to figure out what to prioritize. The concept of reinforcement learning is not a marketer making rules to say, “I know this type of thing works well on this type of audience.” It’s the machine itself using the data to determine what attribute responds well to which offer, recommendation, or marketing campaign. 4. How can marketers ensure their use of customer engagement data aligns with the broader business objectives? It starts with the objectives. It’s starting with the desired outcome and working your way back. That whole flip of the paradigm is starting with outcomes and letting the system optimize. What are you trying to drive, and then back into the types of experiences that can make that happen? There’s personalization. When we talk about data-driven experiences and personalization, Spotify Wrapped is the North Star. For Spotify Wrapped, you want to drive customer stickiness and create a brand. To make that happen, you want to send a personalized email. What components do you want in that email? Maybe it’s top five songs, top five artists, and then you can back into the actual event data you need to make that happen. 5. What role does engagement data play in influencing cross-functional decisions such as those in product development, sales, or customer service? For product development, it’s product analytics — knowing what features users are using, or seeing in heat maps where users are clicking. Sales is similar. We’re using behavioral signals like what types of content they’re reading on the site to help inform what they would be interested in — the types of products or the types of use cases. For customer service, you can look at errors they’ve run into in the past or specific purchases they’ve made, so that when you’re helping them the next time they engage with you, you know exactly what their past behaviors were and what products they could be calling about. 6. What are some challenges marketers face when trying to translate customer engagement data into actionable insights? Access to data is one challenge. You might not know what data you have because marketers historically may not have been used to the systems where data is stored. Historically, that’s been pretty siloed away from them. Rich behavioral data and other data across the business was stored somewhere else. Now, as more companies embrace the data warehouse at the center of their business, it gives everyone a true single place where data can be stored. Marketers are working more with data teams, understanding more about the data they have, and using that data to power downstream use cases, personalization, reinforcement learning, or general business insights. 7. How do you address skepticism or resistance from stakeholders when presenting data-driven recommendations? As a marketer, I think proof is key. The best thing is if you’ve actually run a test. “I think we should do this. I ran a small test, and it’s showing that this is actually proving out.” Being able to clearly explain and justify your reasoning with data is super important. 8. What technology or tools have you found most effective for gathering and analyzing customer engagement data? Any type of behavioral event collection, specifically ones that write to the cloud data warehouse, is the critical component. Your data team is operating off the data warehouse. Having an event collection product that stores data in that central spot is really important if you want to use the other data when making recommendations. You want to get everything into the data warehouse where it can be used both for insights and for putting into action. For Spotify Wrapped, you want to collect behavioral event signals like songs listened to or concerts attended, writing to the warehouse so that you can get insights back — how many songs were played this year, projections for next month — but then you can also use those behavioral events in downstream platforms to fire off personalized emails with product recommendations or Spotify Wrapped-style experiences. 9. How do you see the role of customer engagement data evolving in shaping business strategies over the next five years? What we’re excited about is the concept of AI Decisioning — having AI agents actually using customer data to train their own models and decision-making to create personalized experiences. We’re sitting on top of all this behavioral data, engagement data, and user attributes, and our system is learning from all of that to make the best decisions across downstream systems. Whether that’s as simple as driving a loyalty program and figuring out what emails to send or what on-site experiences to show, or exposing insights that might lead you to completely change your business strategy, we see engagement data as the fuel to the engine of reinforcement learning, machine learning, AI agents, this whole next wave of Martech that’s just now coming. But it all starts with having the data to train those systems. I think that behavioral data is the fuel of modern Martech, and that only holds more true as Martech platforms adopt these decisioning and AI capabilities, because they’re only as good as the data that’s training the models.     This interview Q&A was hosted with Alec Haase, Product GTM Lead, Commerce and AI at Hightouch, 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 Alec Haase Q&A: Customer Engagement Book Interview appeared first on MoEngage.
    0 Commentaires 0 Parts
  • Newspaper Club makes headlines with first-ever publication and bold print campaign

    In a confident nod to the enduring power of print, Glasgow-based Newspaper Club has launched The Printing Press, its first-ever self-published newspaper. Known for helping designers, brands, and artists print their own publications, Newspaper Club is now telling its own story through a medium it knows best.
    "We're always sharing the brilliant things people print with us – usually online, through our blog and Instagram," explains CMO Kaye Symington. "Our customers have some great stories behind their projects, and it just made sense for a newspaper printing company to have a newspaper of its own!"
    Teaming up with their brilliant design partner Euan Gallacher at D8 Studio, Kaye said they also wanted to show what's possible with the format: "A lot of people just think of newspapers as something for breaking news, but there's so much more you can do with them."

    The tabloid-style publication explores the creative resurgence of newspapers as branding tools and storytelling devices, which is music to our ears. Inside, readers will find thoughtful features on how modern brands are embracing print, including interviews with Papier's head of brand on narrative design, Cubitts' in-house designer on developing a tactile, analogue campaign, and Vocal Type's Tré Seals on transforming a museum exhibition into a printed experience.
    Why the mighty turnaround? "There's just nothing quite like newsprint," says Kaye. "It slows you down in the best way, especially when there's so much competing for your attention online. A newspaper isn't trying to go viral, which is refreshing."
    She adds: "Putting together a newspaper makes you think differently. It's scrappy and democratic, which makes it a great space to play around and tell stories more creatively. And at the end of it, you've got something real to hand someone instead of just sending them a link."

    To celebrate this almighty launch, Newspaper Club is going beyond the page with a striking national ad campaign. In partnership with Build Hollywood, the company has installed billboards in Glasgow, Birmingham, Brighton, and Cardiff, all proudly showcasing the work of Newspaper Club customers. These include colourful pieces from artist Supermundane and independent homeware designer Sophie McNiven, highlighting the creative range of projects that come to life through their press.
    In London, the celebration continues with a special collaboration with News & Coffee at Holborn Station. For two weeks, the kiosk has been transformed into a shrine to print — complete with stacks of The Printing Press and complimentary coffee for the first 20 early birds each weekday until 17 June.
    The timing feels deliberate. As digital fatigue sets in, social media continues to disappoint, and brands look for fresh ways to stand out in a 'post-search' world, newspapers are experiencing a quiet renaissance. But they're being used not just for news but also as limited-edition catalogues, keepsakes for events, and props in photo shoots. It's this playful, flexible nature of newsprint that The Printing Press aims to explore and celebrate.

    Since 2009, Newspaper Club has built its reputation on making newspaper printing accessible to all — from major brands like Adobe and Spotify to indie creators, students and storytellers. This campaign marks a new chapter: a chance to turn the lens inward, shine a spotlight on the creative possibilities of print, and reassert the joy of ink on paper. As Kaye puts it, "We want people to see that newspapers can be a really creative format. It might be a traditional medium, but that's exactly what makes it stand out in a digital world.
    "Sometimes the hardest part is just knowing where to start with a new project, so we hope this campaign helps spark ideas and inspire people to print something they're excited about!"
    As The Printing Press hits streets and kiosks across the UK, one thing is clear: print isn't dead. It's just getting started.
    #newspaper #club #makes #headlines #with
    Newspaper Club makes headlines with first-ever publication and bold print campaign
    In a confident nod to the enduring power of print, Glasgow-based Newspaper Club has launched The Printing Press, its first-ever self-published newspaper. Known for helping designers, brands, and artists print their own publications, Newspaper Club is now telling its own story through a medium it knows best. "We're always sharing the brilliant things people print with us – usually online, through our blog and Instagram," explains CMO Kaye Symington. "Our customers have some great stories behind their projects, and it just made sense for a newspaper printing company to have a newspaper of its own!" Teaming up with their brilliant design partner Euan Gallacher at D8 Studio, Kaye said they also wanted to show what's possible with the format: "A lot of people just think of newspapers as something for breaking news, but there's so much more you can do with them." The tabloid-style publication explores the creative resurgence of newspapers as branding tools and storytelling devices, which is music to our ears. Inside, readers will find thoughtful features on how modern brands are embracing print, including interviews with Papier's head of brand on narrative design, Cubitts' in-house designer on developing a tactile, analogue campaign, and Vocal Type's Tré Seals on transforming a museum exhibition into a printed experience. Why the mighty turnaround? "There's just nothing quite like newsprint," says Kaye. "It slows you down in the best way, especially when there's so much competing for your attention online. A newspaper isn't trying to go viral, which is refreshing." She adds: "Putting together a newspaper makes you think differently. It's scrappy and democratic, which makes it a great space to play around and tell stories more creatively. And at the end of it, you've got something real to hand someone instead of just sending them a link." To celebrate this almighty launch, Newspaper Club is going beyond the page with a striking national ad campaign. In partnership with Build Hollywood, the company has installed billboards in Glasgow, Birmingham, Brighton, and Cardiff, all proudly showcasing the work of Newspaper Club customers. These include colourful pieces from artist Supermundane and independent homeware designer Sophie McNiven, highlighting the creative range of projects that come to life through their press. In London, the celebration continues with a special collaboration with News & Coffee at Holborn Station. For two weeks, the kiosk has been transformed into a shrine to print — complete with stacks of The Printing Press and complimentary coffee for the first 20 early birds each weekday until 17 June. The timing feels deliberate. As digital fatigue sets in, social media continues to disappoint, and brands look for fresh ways to stand out in a 'post-search' world, newspapers are experiencing a quiet renaissance. But they're being used not just for news but also as limited-edition catalogues, keepsakes for events, and props in photo shoots. It's this playful, flexible nature of newsprint that The Printing Press aims to explore and celebrate. Since 2009, Newspaper Club has built its reputation on making newspaper printing accessible to all — from major brands like Adobe and Spotify to indie creators, students and storytellers. This campaign marks a new chapter: a chance to turn the lens inward, shine a spotlight on the creative possibilities of print, and reassert the joy of ink on paper. As Kaye puts it, "We want people to see that newspapers can be a really creative format. It might be a traditional medium, but that's exactly what makes it stand out in a digital world. "Sometimes the hardest part is just knowing where to start with a new project, so we hope this campaign helps spark ideas and inspire people to print something they're excited about!" As The Printing Press hits streets and kiosks across the UK, one thing is clear: print isn't dead. It's just getting started. #newspaper #club #makes #headlines #with
    WWW.CREATIVEBOOM.COM
    Newspaper Club makes headlines with first-ever publication and bold print campaign
    In a confident nod to the enduring power of print, Glasgow-based Newspaper Club has launched The Printing Press, its first-ever self-published newspaper. Known for helping designers, brands, and artists print their own publications, Newspaper Club is now telling its own story through a medium it knows best. "We're always sharing the brilliant things people print with us – usually online, through our blog and Instagram," explains CMO Kaye Symington. "Our customers have some great stories behind their projects, and it just made sense for a newspaper printing company to have a newspaper of its own!" Teaming up with their brilliant design partner Euan Gallacher at D8 Studio, Kaye said they also wanted to show what's possible with the format: "A lot of people just think of newspapers as something for breaking news, but there's so much more you can do with them." The tabloid-style publication explores the creative resurgence of newspapers as branding tools and storytelling devices, which is music to our ears. Inside, readers will find thoughtful features on how modern brands are embracing print, including interviews with Papier's head of brand on narrative design, Cubitts' in-house designer on developing a tactile, analogue campaign, and Vocal Type's Tré Seals on transforming a museum exhibition into a printed experience. Why the mighty turnaround? "There's just nothing quite like newsprint," says Kaye. "It slows you down in the best way, especially when there's so much competing for your attention online. A newspaper isn't trying to go viral, which is refreshing." She adds: "Putting together a newspaper makes you think differently. It's scrappy and democratic, which makes it a great space to play around and tell stories more creatively. And at the end of it, you've got something real to hand someone instead of just sending them a link." To celebrate this almighty launch, Newspaper Club is going beyond the page with a striking national ad campaign. In partnership with Build Hollywood, the company has installed billboards in Glasgow, Birmingham, Brighton, and Cardiff, all proudly showcasing the work of Newspaper Club customers. These include colourful pieces from artist Supermundane and independent homeware designer Sophie McNiven, highlighting the creative range of projects that come to life through their press. In London, the celebration continues with a special collaboration with News & Coffee at Holborn Station. For two weeks, the kiosk has been transformed into a shrine to print — complete with stacks of The Printing Press and complimentary coffee for the first 20 early birds each weekday until 17 June. The timing feels deliberate. As digital fatigue sets in, social media continues to disappoint, and brands look for fresh ways to stand out in a 'post-search' world, newspapers are experiencing a quiet renaissance. But they're being used not just for news but also as limited-edition catalogues, keepsakes for events, and props in photo shoots. It's this playful, flexible nature of newsprint that The Printing Press aims to explore and celebrate. Since 2009, Newspaper Club has built its reputation on making newspaper printing accessible to all — from major brands like Adobe and Spotify to indie creators, students and storytellers. This campaign marks a new chapter: a chance to turn the lens inward, shine a spotlight on the creative possibilities of print, and reassert the joy of ink on paper. As Kaye puts it, "We want people to see that newspapers can be a really creative format. It might be a traditional medium, but that's exactly what makes it stand out in a digital world. "Sometimes the hardest part is just knowing where to start with a new project, so we hope this campaign helps spark ideas and inspire people to print something they're excited about!" As The Printing Press hits streets and kiosks across the UK, one thing is clear: print isn't dead. It's just getting started.
    0 Commentaires 0 Parts
  • What happens to DOGE without Elon Musk?

    Elon Musk may be gone from the Trump administration — and his friendship status with President Donald Trump may be at best uncertain — but his whirlwind stint in government certainly left its imprint. The Department of Government Efficiency, his pet government-slashing project, remains entrenched in Washington. During his 130-day tenure, Musk led DOGE in eliminating about 260,000 federal employee jobs and gutting agencies supporting scientific research and humanitarian aid. But to date, DOGE claims to have saved the government billion — well short of its ambitioustarget of cutting at least trillion from the federal budget. And with Musk’s departure still fresh, there are reports that the federal government is trying to rehire federal workers who quit or were let go. For Elaine Kamarck, senior fellow at the Brookings Institution, DOGE’s tactics will likely end up being disastrous in the long run. “DOGE came in with these huge cuts, which were not attached to a plan,” she told Today, Explained co-host Sean Rameswaram. Kamarck knows all about making government more efficient. In the 1990s, she ran the Clinton administration’s Reinventing Government program. “I was Elon Musk,” she told Today, Explained. With the benefit of that experience, she assesses Musk’s record at DOGE, and what, if anything, the billionaire’s loud efforts at cutting government spending added up to. Below is an excerpt of the conversation, edited for length and clarity. There’s much more in the full podcast, so listen to Today, Explained wherever you get podcasts, including Apple Podcasts, Pandora, and Spotify.
    What do you think Elon Musk’s legacy is? Well, he will not have totally, radically reshaped the federal government. Absolutely not. In fact, there’s a high probability that on January 20, 2029, when the next president takes over, the federal government is about the same size as it is now, and is probably doing the same stuff that it’s doing now. What he did manage to do was insert chaos, fear, and loathing into the federal workforce. There was reporting in the Washington Post late last week that these cuts were so ineffective that the White House is actually reaching out to various federal employees who were laid off and asking them to come back, from the FDA to the IRS to even USAID. Which cuts are sticking at this point and which ones aren’t?First of all, in a lot of cases, people went to court and the courts have reversed those earlier decisions. So the first thing that happened is, courts said, “No, no, no, you can’t do it this way. You have to bring them back.” The second thing that happened is that Cabinet officers started to get confirmed by the Senate. And remember that a lot of the most spectacular DOGE stuff was happening in February. In February, these Cabinet secretaries were preparing for their Senate hearings. They weren’t on the job. Now that their Cabinet secretary’s home, what’s happening is they’re looking at these cuts and they’re saying, “No, no, no! We can’t live with these cuts because we have a mission to do.”As the government tries to hire back the people they fired, they’re going to have a tough time, and they’re going to have a tough time for two reasons. First of all, they treated them like dirt, and they’ve said a lot of insulting things. Second, most of the people who work for the federal government are highly skilled. They’re not paper pushers. We have computers to push our paper, right? They’re scientists. They’re engineers. They’re people with high skills, and guess what? They can get jobs outside the government. So there’s going to be real lasting damage to the government from the way they did this. And it’s analogous to the lasting damage that they’re causing at universities, where we now have top scientists who used to invent great cures for cancer and things like that, deciding to go find jobs in Europe because this culture has gotten so bad.What happens to this agency now? Who’s in charge of it?Well, what they’ve done is DOGE employees have been embedded in each of the organizations in the government, okay? And they basically — and the president himself has said this — they basically report to the Cabinet secretaries. So if you are in the Transportation Department, you have to make sure that Sean Duffy, who’s the secretary of transportation, agrees with you on what you want to do. And Sean Duffy has already had a fight during a Cabinet meeting with Elon Musk. You know that he has not been thrilled with the advice he’s gotten from DOGE. So from now on, DOGE is going to have to work hand in hand with Donald Trump’s appointed leaders.And just to bring this around to what we’re here talking about now, they’re in this huge fight over wasteful spending with the so-called big, beautiful bill. Does this just look like the government as usual, ultimately?It’s actually worse than normal. Because the deficit impacts are bigger than normal. It’s adding more to the deficit than previous bills have done. And the second reason it’s worse than normal is that everybody is still living in a fantasy world. And the fantasy world says that somehow we can deal with our deficits by cutting waste, fraud, and abuse. That is pure nonsense. Let me say it: pure nonsense.Where does most of the government money go? Does it go to some bureaucrats sitting on Pennsylvania Avenue? It goes to us. It goes to your grandmother and her Social Security and her Medicare. It goes to veterans in veterans benefits. It goes to Americans. That’s why it’s so hard to cut it. It’s so hard to cut it because it’s us. And people are living on it. Now, there’s a whole other topic that nobody talks about, and it’s called entitlement reform, right? Could we reform Social Security? Could we make the retirement age go from 67 to 68? That would save a lot of money. Could we change the cost of living? Nobody, nobody, nobody is talking about that. And that’s because we are in this crazy, polarized environment where we can no longer have serious conversations about serious issues. See More:
    #what #happens #doge #without #elon
    What happens to DOGE without Elon Musk?
    Elon Musk may be gone from the Trump administration — and his friendship status with President Donald Trump may be at best uncertain — but his whirlwind stint in government certainly left its imprint. The Department of Government Efficiency, his pet government-slashing project, remains entrenched in Washington. During his 130-day tenure, Musk led DOGE in eliminating about 260,000 federal employee jobs and gutting agencies supporting scientific research and humanitarian aid. But to date, DOGE claims to have saved the government billion — well short of its ambitioustarget of cutting at least trillion from the federal budget. And with Musk’s departure still fresh, there are reports that the federal government is trying to rehire federal workers who quit or were let go. For Elaine Kamarck, senior fellow at the Brookings Institution, DOGE’s tactics will likely end up being disastrous in the long run. “DOGE came in with these huge cuts, which were not attached to a plan,” she told Today, Explained co-host Sean Rameswaram. Kamarck knows all about making government more efficient. In the 1990s, she ran the Clinton administration’s Reinventing Government program. “I was Elon Musk,” she told Today, Explained. With the benefit of that experience, she assesses Musk’s record at DOGE, and what, if anything, the billionaire’s loud efforts at cutting government spending added up to. Below is an excerpt of the conversation, edited for length and clarity. There’s much more in the full podcast, so listen to Today, Explained wherever you get podcasts, including Apple Podcasts, Pandora, and Spotify. What do you think Elon Musk’s legacy is? Well, he will not have totally, radically reshaped the federal government. Absolutely not. In fact, there’s a high probability that on January 20, 2029, when the next president takes over, the federal government is about the same size as it is now, and is probably doing the same stuff that it’s doing now. What he did manage to do was insert chaos, fear, and loathing into the federal workforce. There was reporting in the Washington Post late last week that these cuts were so ineffective that the White House is actually reaching out to various federal employees who were laid off and asking them to come back, from the FDA to the IRS to even USAID. Which cuts are sticking at this point and which ones aren’t?First of all, in a lot of cases, people went to court and the courts have reversed those earlier decisions. So the first thing that happened is, courts said, “No, no, no, you can’t do it this way. You have to bring them back.” The second thing that happened is that Cabinet officers started to get confirmed by the Senate. And remember that a lot of the most spectacular DOGE stuff was happening in February. In February, these Cabinet secretaries were preparing for their Senate hearings. They weren’t on the job. Now that their Cabinet secretary’s home, what’s happening is they’re looking at these cuts and they’re saying, “No, no, no! We can’t live with these cuts because we have a mission to do.”As the government tries to hire back the people they fired, they’re going to have a tough time, and they’re going to have a tough time for two reasons. First of all, they treated them like dirt, and they’ve said a lot of insulting things. Second, most of the people who work for the federal government are highly skilled. They’re not paper pushers. We have computers to push our paper, right? They’re scientists. They’re engineers. They’re people with high skills, and guess what? They can get jobs outside the government. So there’s going to be real lasting damage to the government from the way they did this. And it’s analogous to the lasting damage that they’re causing at universities, where we now have top scientists who used to invent great cures for cancer and things like that, deciding to go find jobs in Europe because this culture has gotten so bad.What happens to this agency now? Who’s in charge of it?Well, what they’ve done is DOGE employees have been embedded in each of the organizations in the government, okay? And they basically — and the president himself has said this — they basically report to the Cabinet secretaries. So if you are in the Transportation Department, you have to make sure that Sean Duffy, who’s the secretary of transportation, agrees with you on what you want to do. And Sean Duffy has already had a fight during a Cabinet meeting with Elon Musk. You know that he has not been thrilled with the advice he’s gotten from DOGE. So from now on, DOGE is going to have to work hand in hand with Donald Trump’s appointed leaders.And just to bring this around to what we’re here talking about now, they’re in this huge fight over wasteful spending with the so-called big, beautiful bill. Does this just look like the government as usual, ultimately?It’s actually worse than normal. Because the deficit impacts are bigger than normal. It’s adding more to the deficit than previous bills have done. And the second reason it’s worse than normal is that everybody is still living in a fantasy world. And the fantasy world says that somehow we can deal with our deficits by cutting waste, fraud, and abuse. That is pure nonsense. Let me say it: pure nonsense.Where does most of the government money go? Does it go to some bureaucrats sitting on Pennsylvania Avenue? It goes to us. It goes to your grandmother and her Social Security and her Medicare. It goes to veterans in veterans benefits. It goes to Americans. That’s why it’s so hard to cut it. It’s so hard to cut it because it’s us. And people are living on it. Now, there’s a whole other topic that nobody talks about, and it’s called entitlement reform, right? Could we reform Social Security? Could we make the retirement age go from 67 to 68? That would save a lot of money. Could we change the cost of living? Nobody, nobody, nobody is talking about that. And that’s because we are in this crazy, polarized environment where we can no longer have serious conversations about serious issues. See More: #what #happens #doge #without #elon
    WWW.VOX.COM
    What happens to DOGE without Elon Musk?
    Elon Musk may be gone from the Trump administration — and his friendship status with President Donald Trump may be at best uncertain — but his whirlwind stint in government certainly left its imprint. The Department of Government Efficiency (DOGE), his pet government-slashing project, remains entrenched in Washington. During his 130-day tenure, Musk led DOGE in eliminating about 260,000 federal employee jobs and gutting agencies supporting scientific research and humanitarian aid. But to date, DOGE claims to have saved the government $180 billion — well short of its ambitious (and frankly never realistic) target of cutting at least $2 trillion from the federal budget. And with Musk’s departure still fresh, there are reports that the federal government is trying to rehire federal workers who quit or were let go. For Elaine Kamarck, senior fellow at the Brookings Institution, DOGE’s tactics will likely end up being disastrous in the long run. “DOGE came in with these huge cuts, which were not attached to a plan,” she told Today, Explained co-host Sean Rameswaram. Kamarck knows all about making government more efficient. In the 1990s, she ran the Clinton administration’s Reinventing Government program. “I was Elon Musk,” she told Today, Explained. With the benefit of that experience, she assesses Musk’s record at DOGE, and what, if anything, the billionaire’s loud efforts at cutting government spending added up to. Below is an excerpt of the conversation, edited for length and clarity. There’s much more in the full podcast, so listen to Today, Explained wherever you get podcasts, including Apple Podcasts, Pandora, and Spotify. What do you think Elon Musk’s legacy is? Well, he will not have totally, radically reshaped the federal government. Absolutely not. In fact, there’s a high probability that on January 20, 2029, when the next president takes over, the federal government is about the same size as it is now, and is probably doing the same stuff that it’s doing now. What he did manage to do was insert chaos, fear, and loathing into the federal workforce. There was reporting in the Washington Post late last week that these cuts were so ineffective that the White House is actually reaching out to various federal employees who were laid off and asking them to come back, from the FDA to the IRS to even USAID. Which cuts are sticking at this point and which ones aren’t?First of all, in a lot of cases, people went to court and the courts have reversed those earlier decisions. So the first thing that happened is, courts said, “No, no, no, you can’t do it this way. You have to bring them back.” The second thing that happened is that Cabinet officers started to get confirmed by the Senate. And remember that a lot of the most spectacular DOGE stuff was happening in February. In February, these Cabinet secretaries were preparing for their Senate hearings. They weren’t on the job. Now that their Cabinet secretary’s home, what’s happening is they’re looking at these cuts and they’re saying, “No, no, no! We can’t live with these cuts because we have a mission to do.”As the government tries to hire back the people they fired, they’re going to have a tough time, and they’re going to have a tough time for two reasons. First of all, they treated them like dirt, and they’ve said a lot of insulting things. Second, most of the people who work for the federal government are highly skilled. They’re not paper pushers. We have computers to push our paper, right? They’re scientists. They’re engineers. They’re people with high skills, and guess what? They can get jobs outside the government. So there’s going to be real lasting damage to the government from the way they did this. And it’s analogous to the lasting damage that they’re causing at universities, where we now have top scientists who used to invent great cures for cancer and things like that, deciding to go find jobs in Europe because this culture has gotten so bad.What happens to this agency now? Who’s in charge of it?Well, what they’ve done is DOGE employees have been embedded in each of the organizations in the government, okay? And they basically — and the president himself has said this — they basically report to the Cabinet secretaries. So if you are in the Transportation Department, you have to make sure that Sean Duffy, who’s the secretary of transportation, agrees with you on what you want to do. And Sean Duffy has already had a fight during a Cabinet meeting with Elon Musk. You know that he has not been thrilled with the advice he’s gotten from DOGE. So from now on, DOGE is going to have to work hand in hand with Donald Trump’s appointed leaders.And just to bring this around to what we’re here talking about now, they’re in this huge fight over wasteful spending with the so-called big, beautiful bill. Does this just look like the government as usual, ultimately?It’s actually worse than normal. Because the deficit impacts are bigger than normal. It’s adding more to the deficit than previous bills have done. And the second reason it’s worse than normal is that everybody is still living in a fantasy world. And the fantasy world says that somehow we can deal with our deficits by cutting waste, fraud, and abuse. That is pure nonsense. Let me say it: pure nonsense.Where does most of the government money go? Does it go to some bureaucrats sitting on Pennsylvania Avenue? It goes to us. It goes to your grandmother and her Social Security and her Medicare. It goes to veterans in veterans benefits. It goes to Americans. That’s why it’s so hard to cut it. It’s so hard to cut it because it’s us. And people are living on it. Now, there’s a whole other topic that nobody talks about, and it’s called entitlement reform, right? Could we reform Social Security? Could we make the retirement age go from 67 to 68? That would save a lot of money. Could we change the cost of living? Nobody, nobody, nobody is talking about that. And that’s because we are in this crazy, polarized environment where we can no longer have serious conversations about serious issues. See More:
    0 Commentaires 0 Parts