And yes, this means companies will also require a R&D budget for areas of the company that traditionally have not required R&D — you need to experiment with organizational approaches, new ways of structuring projects, skill/agent building techniques, and other ways to apply AI.
ENTERPRISE AI
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AI failure absence shows lack of ambition
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I think that if companies are not failing at all with their AI efforts it is a sign that they are not being ambitious enough. This is a fundamentally new technology that we do not know how to use well. Achieving breakthroughs will require experimentation, which require failure.
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Data Classification and Agent Identity Essential for Enterprise AI Governance
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Exactly, @Chels_LA , without data classification and clear agent identity, governance breaks down fast. These foundations are what turn AI from experimentation into something you can scale with confidence across the enterprise. Watch the full conversation here:
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Autonomous AI agents for business sourcing and logistics
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Agentes IA que realmente hacen el trabajo pesado por ti. Accio Work ejecuta sourcing, haggling y logística de forma autónoma. Esto sí cambia cómo vamos a hacer negocio para siempre https://t.co/a3qQBvhGXy
— SONIA (@S0N_IA_) 26 mars 2026Agentes IA que realmente hacen el trabajo pesado por ti. Accio Work ejecuta sourcing, haggling y logística de forma autónoma. Esto sí cambia cómo vamos a hacer negocio para siempre
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Machine Learning Accelerates FDA Drug Submission Analysis at Scale
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RWE appears in 70% of FDA drug submissions. But manual analysis can't keep pace with growing data volumes. ML can, if your environment is built for it. Read the full article in @MedCityNews
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AI Factions Fit Perfectly in Lore, Perfect Collaboration
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That's permanent residents I think? Do you think they count guest workers on temp visas as pop?
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NVIDIA Expands Its Open Model Families for AI
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We are expanding our open model families—including Nemotron, Cosmos, and BioNeMo—to advance development in agentic AI, physical AI, healthcare, and more. [Translated from EN to English]
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AI’s Real Constraint: The People Problem Not Physics
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AI has a ‘people problem.’ And that might be its real constraint rather than physics. pic.twitter.com/8fOICuzV2A
— Nina Schick (@NinaDSchick) 25 mars 2026AI has a ‘people problem.’ And that might be its real constraint rather than physics.
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Cohere Defines the Future of Sovereign AI with Full Stack
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.@Cohere is defining the future of sovereign AI.
— NVIDIA AI (@NVIDIAAI) 25 mars 2026
Autumn Moulder, VP of Engineering at Cohere, breaks down the requirements for a full AI sovereign stack at #NVIDIAGTC:
✅ Full-Stack Sovereignty: Deploying everything from the model to applications and reasoning traces within a… pic.twitter.com/i5vb5NSIqZ@Cohere is defining the future of sovereign AI. Autumn Moulder, VP of Engineering at Cohere, breaks down the requirements for a full AI sovereign stack at #NVIDIAGTC: ✅ Full-Stack Sovereignty: Deploying everything from the model to applications and reasoning traces within a single data center. ✅ The Power of Openness: Why open models like NVIDIA Nemotron are critical for data lineage and navigating evolving regulations. [Translated from EN to English]
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OpenAI Debuts Major ChatGPT Ads Updates, Including Self-Serve Manager and CPC Bidding
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Most interesting image from this article Everyone changed from classic incadescent lamps to modern LEDs But they don't provide any infrared light Even the warm LEDs you buy barely do We really need incadescent lights back but the EU made those illegal, or we need to buy those