Super cool to see DSPy getting real enterprise adoption!
ENTERPRISE AI
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Anthropic Launches $100M Enterprise Partner Network for Claude Adoption
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Anthropic just launched a dedicated enterprise partner network — $100M committed in 2026 for training, support, and co-marketing for businesses adopting Claude. The enterprise AI race isn't just about models. It's about who builds the best adoption infrastructure. #AI
→ View original post on X — @svenphilipsen, 2026-03-18 00:00 UTC
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Agentic Retrieval vs Traditional RAG for Complex Documents
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Traditional RAG retrieves. Agentic retrieval reasons. For complex questions spanning multiple documents, that difference matters. Join us virtually April 2 at 1 PM ET — register and we'll send the recording if you can't make it live. RSVP: https://
domino.buzz/4lp1Dpg -
NVIDIA GTC 2026: Breakthrough AI Chips and Vera Rubin Architecture
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NVIDIA's GTC 2026 conference has been phenomenal in terms of latest computer chips and AI stack announcements. Here are the key updates you need to know: 1. The $1 Trillion Demand Projection: NVIDIA CEO Jensen Huang raised demand projections for Blackwell and Vera Rubin systems to $1 trillion through 2027, driven by the explosive growth of AI inference. 2. Vera Rubin Architecture: The new platform features seven breakthrough chips, including the Vera CPU and Rubin GPU with HBM4 memory. It is designed as a vertically integrated "AI Factory" to handle agentic AI reasoning. 3. Groq3 LPX Inference Acceleration: Following a $20 billion deal, NVIDIA integrated Groq’s SRAM-based technology to create the Groq3 LPX rack. This system delivers up to 35x faster token generation for trillion-parameter models. 4. NemoClaw & OpenClaw: NVIDIA partnered with the viral open-source project OpenClaw to launch NemoClaw, a software stack described as the "operating system for personal AI". 5. Physical AI & Robotics: A highlight of the show was a robotic version of Olaf from Disney's Frozen, powered by NVIDIA’s Newton Physics Engine. NVIDIA also unveiled Alpamayo, an open-source "chain-of-thought" reasoning model for Level 4 autonomous driving. 6. Space Computing: NVIDIA announced Vera Rubin Space-1, a dedicated platform designed to bring AI data centres into orbit. 7. The "Feynman" Roadmap: A first look at the 2028 architecture, named Feynman, which will feature the Rosa CPU and next-generation liquid processing units (LPUs). 8. Gaming & DLSS 5: NVIDIA teased DLSS 5, which uses neural rendering to create photorealistic, real-time graphics that "look like a film". 9. Sovereign AI Factories: Broad partnerships with nations and enterprises (like IBM and Nestlé) were showcased to build regional "AI Factories" that keep data and intelligence within sovereign boundaries.
→ View original post on X — @avikumart_, 2026-03-17 22:40 UTC
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Amazon Prime Members Gain Free 24/7 Access to Personal Health AI Agent
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Amazon just gave Prime members free 24/7 access to a personal health AI agent. It can interpret lab results, manage prescription renewals, and book appointments. Democratising healthcare access via AI. That's a big deal. #AI
→ View original post on X — @svenphilipsen, 2026-03-17 22:00 UTC
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H2O.ai at NVIDIA GTC: AI Deployment Solutions
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Day 2 at #NVIDIAGTC We continue to have lots of convos around what it actually takes to make AI work in practice — moving from pilots to real-world deployment — at out booth today! Our team is here and looking forward to connecting. Come say hi! Booth #124
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Mistral AI Announces Forge for Enterprise Frontier AI Model Building
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Mistral AI announced Forge, a new system that enables enterprises to build frontier AI models grounded in their data.
— 🚨 AI News | TestingCatalog (@testingcatalog) 17 mars 2026
Mistral is so good at naming 👌 https://t.co/1OhbogM0u6 pic.twitter.com/CTV2wgPIjqMistral AI announced Forge, a new system that enables enterprises to build frontier AI models grounded in their data. Mistral is so good at naming
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Claude Cowork: AI Interface and the Future of Coworkers
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🆕 Claude Cowork, Skills, and the Future of AI Coworkers https://t.co/kqUzlrzdYF@felixrieseberg has spent years working at the interface layer, from Electron and the Slack desktop app to now helping build @claudeai Cowork. In this episode, Felix explains why execution is… pic.twitter.com/iIlG8ulXpx
— Latent.Space (@latentspacepod) 17 mars 2026Claude Cowork, Skills, and the Future of AI Coworkers https://
latent.space/p/felix-anthro
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… @felixrieseberg has spent years working at the interface layer, from Electron and the Slack desktop app to now helping build @claudeai Cowork. In this episode, Felix explains why execution is -
2026 Smart Manufacturing Ecosystem Four Critical AI Categories
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The 2026 smart manufacturing ecosystem organizes into four critical categories: Predictive and prescriptive AI. Data infrastructure. Enterprise and automation. OT security. You need capable components from all four. A gap in any category limits the performance of the entire… pic.twitter.com/d0A2l20GzG
— Lucian Fogoros (@fogoros) 17 mars 2026The 2026 smart manufacturing ecosystem organizes into four critical categories: Predictive and prescriptive AI. Data infrastructure. Enterprise and automation. OT security. You need capable components from all four. A gap in any category limits the performance of the entire
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Mistral Introduces Forge: Enterprise AI Models with Proprietary Knowledge
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Today, we’re introducing Forge, a system for enterprises to build frontier-grade AI models grounded in their proprietary knowledge.
— Mistral AI (@MistralAI) 17 mars 2026
🌎 Forge bridges the gap between generic AI and enterprise-specific needs. Instead of relying on broad, public data, organizations can train models… pic.twitter.com/4YQ3ADvixrToday, we’re introducing Forge, a system for enterprises to build frontier-grade AI models grounded in their proprietary knowledge. 🌎 Forge bridges the gap between generic AI and enterprise-specific needs. Instead of relying on broad, public data, organizations can train models that understand their internal context embedded within systems, workflows, and policies, aligning AI with their unique operations. We have already partnered with world-leading organizations, like ASML, DSO National Laboratories Singapore, Ericsson, European Space Agency, Home Team Science and Technology Agency (HTX) Singapore and Reply to train models on the proprietary data that powers their most complex systems and future-defining technologies.
→ View original post on X — @flashtweet, 2026-03-17 21:00 UTC