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  • Google Launches Gemma 4: Advanced Open Models for Developers

    By

    @googleai

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    Today, we’re launching Gemma 4, our most intelligent open models to date. Built with the same breakthrough technology as Gemini 3, Gemma 4 brings advanced reasoning to your personal hardware and devices. Here’s what Gemma 4 unlocks for developers: — Intelligence-per-parameter: Our 31B (Dense) and 26B (MoE) models deliver state-of-the-art performance for their size, outcompeting models 20x their size on @arena — Commercial flexibility: Released under a permissive Apache 2.0 license for complete developer flexibility and digital sovereignty — Agentic workflows: Native support for function-calling and structured JSON output allows you to build reliable, autonomous agents — Multimodal edge AI: The E2B and E4B models bring native vision, audio, and low latency to mobile and IoT devices — Long-context reasoning: Up to 256K context windows allow you to process entire repositories or large documents in a single prompt Whether you're building global applications in 140+ languages or local-first AI code assistants, Gemma 4 is built to be your foundation. Explore in @GoogleAIStudio or download the weights on @HuggingFace, @Kaggle, and @Ollama.

    → View original post on X — @googleai, 2026-04-02 16:03 UTC

  • Gemma 4: New Open Models for Advanced Reasoning and Agents

    By

    @nandodf

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    Meet Gemma 4: our new family of open models you can run on your own hardware. Built for advanced reasoning and agentic workflows, we’re releasing them under an Apache 2.0 license. Here’s what’s new 🧵

    → View original post on X — @nandodf, 2026-04-02 16:03 UTC

  • Enterprise AI Playbook: Key Lessons from 51 Successful Deployments
    Enterprise AI Playbook: Key Lessons from 51 Successful Deployments

    By

    @erikbryn

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    What do successful deployments of AI have in common? It was awesome working with Elisa Pereira and @AGraylin on this research. We studied 51 companies and summarized the results. Alvin has a nice summary below. Check out digitaleconomy.stanford.edu/… for the full report. Alvin Wang Graylin (@AGraylin) New Research💡: “The #Enterprise #AI Playbook — Lessons from 51 Successful Deployments” Excited to share new research from Stanford @DigEconLab, I co-authored with @erikbryn and Elisa Pereira . We spent 5 months interviewing executives across 41 organizations, 9 industries, and 7 countries — focusing exclusively on AI deployments that actually delivered measurable value. Not hype. Not predictions. What’s working right now, and why. A few findings that challenged even our assumptions: The hard part isn’t the AI. 77% of the toughest challenges were invisible costs — change management, data quality, process redesign. Technology was consistently described as the easiest part. Same use case, wildly different timelines. One company deployed AI customer support in weeks. Another took years. Same models. The difference was always the #organization — its #leadership, processes, and willingness to fail. #Agentic AI works — but most firms haven’t tried it yet. Only 20% of our cases were agentic, but they delivered 71% median gains vs. 40% for high-automation. This gap will widen fast. The model is increasingly a #commodity. For 42% of implementations, model choice was fully interchangeable. The durable advantage is in orchestration, data, and process — not the foundation model. With productivity increase, headcount #reduction is common (45%), but not the majority outcome. Redeployment, hiring avoidance, and acceleration strategies accounted for 55% of cases.🚨 The window for experimentation is closing. This is no longer a question of whether AI delivers value. It’s whether organizations can evolve fast enough to capture it — and whether leaders will take responsibility for smoothing the transition for workers and communities along the way. Full report (free): digitaleconomy.stanford.edu/… @StanfordHAI — https://nitter.net/AGraylin/status/2039729157676921185#m

    → View original post on X — @erikbryn, 2026-04-02 15:48 UTC

  • Salesforce Agentforce Transforms Government Service Delivery with AI

    By

    @yuhelenyu

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    How is @Salesforce’s Agentforce impacting government? AI in the public sector has moved from hesitation to execution. Agents are now live and reducing costs, improving service delivery, and handling millions of citizen interactions. #sponsored The bigger shift is from reactive systems to proactive, personalized government. This is a redefinition of how government serves citizens: piped.video/EKH6cmeJC3E #AI #GovAI #Agentforce #Missionforce #SalesforcePartner

    → View original post on X — @yuhelenyu, 2026-04-02 15:45 UTC

  • Abacus AI Simplifies OpenClaw Agent Deployment Without Setup

    By

    @abacusai

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    OpenClaw is overhyped. Most people can’t even run it properly – setup is messy, security is risky, and it breaks easily Abacus AI fixed that. Run OpenClaw-style agents with Abacus AI Agent. no setup, no configs, just real workflows running end-to-end.

    → View original post on X — @abacusai

  • Digital Simulation Drives Sustainable Manufacturing Innovation

    By

    @fogoros

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    I’m fascinated by how digital models let us simulate real-world conditions to meet sustainability goals before we even build a physical prototype. It’s the key to smarter, more efficient manufacturing.
    Want to see the tech? Visit Siemens at #HM26, Hall 27. #sie_HM

    → View original post on X — @fogoros

  • Data Warehouse Migration: Beyond Cost and SQL Conversion
    Data Warehouse Migration: Beyond Cost and SQL Conversion

    By

    @databricks

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    Data warehouse migrations are often slowed down by the wrong assumptions. Focusing only on cost, treating it as SQL code conversion, or migrating all legacy objects can increase cost, extend timelines, and carry forward unnecessary technical debt. The reality is different.

    → View original post on X — @databricks

  • MAI Image 2 Enhances Slide Generation on Azure
    MAI Image 2 Enhances Slide Generation on Azure

    By

    @nandodf

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    Slide generation on @Azure just got a huge boost with MAI Image 2, the latest model from MSI

    → View original post on X — @nandodf

  • Runway AI Summit: Creative Industry Embraces AI for Tomorrow’s Success
    Runway AI Summit: Creative Industry Embraces AI for Tomorrow’s Success

    By

    @runwayml

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    Earlier this week, we brought nearly 700 leaders together in New York for @runwayml's inaugural AI Summit — and the energy in the room made one thing clear: the creative industry is at an inflection point. Across media, entertainment, gaming, advertising, and legal, two themes emerged consistently: Taste and transparency matter as much as capability. And the companies that will lead tomorrow are the ones embracing AI today. -Kathleen Kennedy of @Lucasfilm reminded us that taste is fundamental to the art of filmmaking — and that AI, in the right hands, will help us tell even better stories. -@HElsakr19489 (@Adobe) and @philwiser (@paramountco) shared how their organizations are navigating AI adoption honestly — leaning into the possibilities while being clear-eyed about the realities. -Creative principals at UNVEIL Studio and @Silverside_AI pushed this further: for them, AI isn't just a tool. It is the medium. -Christopher Harrelson of Why Brands shared a striking data point: designers using Runway have seen a 5x efficiency gain — enabling more work, faster iteration, and higher-quality outputs. Runway's own @theeddylee grounded it all in a sobering reality: only 10% of US businesses use AI in production, and 55% of corporate communications are still text-only, even as video drives 70% of internet traffic. The gap between where most companies are and where they need to be is wide. Can't wait to see what our next summit (un)covers!

    → View original post on X — @runwayml, 2026-04-02 14:57 UTC

  • Energy Efficiency Platforms Enable Decarbonization Compliance 2026

    By

    @fogoros

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    Energy efficiency in 2026 is increasingly a compliance requirement. Manufacturers facing decarbonization mandates need platforms that cut consumption, enable renewable integration, and generate the audit-ready data needed to prove progress to regulators.
    These 10 platforms

    → View original post on X — @fogoros