Check out 4 practical ways SAS and our partner @intel empower teams to innovate faster with AI, and join us at #MSIgnite to see for yourself: http://
2.sas.com/60137enbH
ENTERPRISE AI
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SAS and Intel Empower Teams to Innovate Faster with AI
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CUDA Accelerates 6000 Applications Across Scientific Computing
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Over 6000 applications are accelerated by #CUDA, powering breakthroughs in life sciences, material sciences, physics, quantum computing, CFD, and much more. With over 7M developers, 600M downloads, and 1,000+ SDKs and models, CUDA-X libraries are the driving force behind
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Metis edge AI inference platform and Europa chip debut
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We’re at #SC25 in St. Louis!
— Axelera AI (@AxeleraAI) 17 novembre 2025
📍 Booth #5323
Come see Metis in action: real-time inference, multi-stream demos, and a sneak peek at what our next-gen chip, Europa, is set to deliver.
Stop by and let’s talk edge AI.#HPC #EdgeAI #VoyagerSDK #AxeleraAI pic.twitter.com/9aWtSVQaWeWe’re at #SC25 in St. Louis! Booth #5323 Come see Metis in action: real-time inference, multi-stream demos, and a sneak peek at what our next-gen chip, Europa, is set to deliver. Stop by and let’s talk edge AI. #HPC #EdgeAI #VoyagerSDK #AxeleraAI
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Google’s Agentspace live feature for Gemini Enterprise
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BREAKING : Google is working on the Agentspace live feature for Gemini Enterprise. This seems to be a multimodal voice experience where users will be able to hold voice conversations with agents. Also, "For You" homepage personalisation and more!
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Replicate Joins Cloudflare, Maintains Brand Independence
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Big news: Replicate is joining Cloudflare.
— Replicate (@replicate) 17 novembre 2025
Replicate's going to carry on as a distinct brand, and all that will happen is that it’s going to get way better: it’ll be faster, we’ll have more resources, and it’ll integrate with the rest of Cloudflare’s Developer Platform.… pic.twitter.com/0ElvpbdXw6Big news: Replicate is joining Cloudflare. Replicate's going to carry on as a distinct brand, and all that will happen is that it’s going to get way better: it’ll be faster, we’ll have more resources, and it’ll integrate with the rest of Cloudflare’s Developer Platform.
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LegesGPT 2.0: AI legal companion for research, review, and drafting
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Meet @LegesGPT 2.0,
— God of Prompt (@godofprompt) 17 novembre 2025
Your all-in-one AI legal companion for:
• Legal research (with cited sources)
• Document review & risk analysis
• Case law & precedent retrieval
• Legal writing & document drafting
Try it here 👉 https://t.co/CUq359hSAm pic.twitter.com/rs7xXwZqrhMeet @LegesGPT 2.0, Your all-in-one AI legal companion for: • Legal research (with cited sources)
• Document review & risk analysis
• Case law & precedent retrieval
• Legal writing & document drafting Try it here http://
legesgpt.com -
AI answers legal questions with cited sources instantly
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BREAKING: Lawyers are freaking out. This AI answers your legal questions with cited official sources in seconds. No more stress, no more uncertainty get legally protected instantly. Here’s how it works:
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AI21 Maestro Improves RAG Accuracy for Enterprise Chatbots
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“AI21 Maestro’s accuracy fix for RAG’s blind spots”. Awesome to see @PaulBaier and the @GAIinsights team highlight our work on structured retrieval and reliable enterprise chatbots in this week’s essential AI news roundup. Learn more about structured RAG here:
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Google Adds Agent Import to Gemini Enterprise
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BREAKING 🚨: Google is working on an Agent import feature for Gemini Enterprise, to let users connect external agents into their own multi-agent workflows.
— 🚨 AI News | TestingCatalog (@testingcatalog) 17 novembre 2025
Also, Agent evaluation tool, scheduled execution, new Connectors and more! pic.twitter.com/HcPZ6vZIrBBREAKING : Google is working on an Agent import feature for Gemini Enterprise, to let users connect external agents into their own multi-agent workflows. Also, Agent evaluation tool, scheduled execution, new Connectors and more!
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Gartner: 40% of agentic AI projects fail; winners cannibalize first
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Gartner says 40% of agentic AI projects will fail by 2027. wrong pricing, no clear value, moved too slow. winners will be companies that cannibalize themselves first. deep data moats, outcome-based pricing, AI embedded so deep it's indistinguishable from the product. losers