This World Health Day, discover how AI is transforming healthcare—making it smarter, faster, and more accessible for every citizen. Through initiatives like the IndiaAI & CDSCO Health Innovation Acceleration Hackathon, cutting-edge AI solutions are being developed to
ENTERPRISE AI
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AIKosh: AI-Driven Healthcare Platform Reimagining Indian Wellness
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"Together for Health. Stand with Science." With over 5,000 datasets and 40+ use cases, AIKosh is reimagining wellness for every Indian. Discover AI-driven healthcare at http://
aikosh.indiaai.gov.in #WorldHealthDay #IndiaAI #HealthTech #AIForGood #MeitY #HealthForAll -
Sovereign Collaboration Enables Safe Industrial Data Sharing
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Sovereign collaboration lets manufacturers contribute insights without exposing raw operational data. Companies share derived patterns instead of sensitive details. Contributors retain control while shared models improve for everyone.
— Lucian Fogoros (@fogoros) 7 avril 2026
Partner content with Cybus. #cybus_iiot pic.twitter.com/kKQKeJquP1Sovereign collaboration lets manufacturers contribute insights without exposing raw operational data. Companies share derived patterns instead of sensitive details. Contributors retain control while shared models improve for everyone.
Partner content with Cybus. #cybus_iiot -
AI Dependency: Why You Must Control Your Pricing Model
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Your AI setup should not depend on someone else’s pricing model.
That is the real lesson from the #Claudepocalypse. Claude is still excellent. That is not the point. The point is that if one subscription change can break your agent workflow overnight, then you do not really own -
The Expensive Hobby Mistake: Why AI Projects Fail and How to Succeed
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The Expensive Hobby Mistake: Why #AI Projects Fail and How to Succeed by @Khulood_Almani #ArtificialIntelligence #MachineLearning #ML #DL
→ View original post on X — @ronald_vanloon, 2026-04-07 10:18 UTC
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5G Connectivity Enables Immersive 3D Fitting Experiences Outdoors
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Connectivity becomes an operational enabler in use cases like this. Extending 3D fitting into real environments requires consistent data capture and transfer, because outside controlled spaces, the network directly shapes the quality of the experience. @TMobileBusiness
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AI Competitiveness: Internal Use, Industrialization, Model Control
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My takeaway is simple: The next 2 to 3 years will reward companies that do 3 things well: → use AI internally, so leadership understands it firsthand → build with a clear path from pilot to industrialization → take control of their own models, data, and evaluation strategy That is how AI stops being a demo and starts becoming a competitive moat. And now the tools are here: Mistral AI Forge makes model customization accessible, powered by NVIDIA infrastructure, while the NEMO Tron coalition is building an open ecosystem to democratize AI development. Watch more NVIDIA GTC replays at nvda.ws/45K2sCw
→ View original post on X — @ronald_vanloon, 2026-04-07 10:00 UTC
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Open Models as Strategic Advantage for Enterprise AI Differentiation
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The second big insight, open and custom models are becoming a strategic advantage, not just a technical preference. Why? → More control over your AI stack → Less vendor lock-in → Better fit for regulated industries → More value from your own enterprise data and IP General models are strong generalists. But real differentiation comes when you make AI an expert in your domain, your workflows, your business. That’s exactly where the market is heading: With Mistral AI Forge, enterprises can build and fine-tune their own models, while NVIDIA’s NEMO Tron coalition is accelerating open innovation across models, datasets, and tooling.
→ View original post on X — @ronald_vanloon, 2026-04-07 10:00 UTC
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AI as Software Development: From POC to Production Success
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The shift happening right now is bigger than "which model should we use?" AI is becoming a new way of building software. That means leaders need to think in terms of: → test cases → evaluation frameworks → feedback loops → continuous optimization If you cannot define success, you cannot move from POC to production. That is why so many pilots stall. At the same time, the foundation is changing: Mistral AI’s Forge platform now allows enterprises to customize models end-to-end with their own data, while NVIDIA’s NEMO Tron coalition is pushing open AI development with shared models, datasets, and training tools.
→ View original post on X — @ronald_vanloon, 2026-04-07 10:00 UTC
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Enterprises Need Better AI Model Evaluation, Not More Pilots
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Most enterprises do not have an AI model problem.
— Ronald van Loon (@Ronald_vanLoon) 7 avril 2026
They have an evaluation problem.
That was one of my biggest takeaways from my conversation with @karibriski from Nvidia and @Toucas from Mistral AI at GTC.
In the agentic era, the winners will not be the companies running the… pic.twitter.com/nY2Jj94KSvMost enterprises do not have an AI model problem. They have an evaluation problem. That was one of my biggest takeaways from my conversation with @karibriski from Nvidia and @Toucas from Mistral AI at GTC. In the agentic era, the winners will not be the companies running the most pilots. They will be the ones that can measure what actually works, scale it, and turn it into revenue. And the ecosystem is evolving fast: → Mistral AI announced Forge, enabling enterprises to build and customize their own models using their data and IP → Powered by NVIDIA’s accelerated infrastructure → NVIDIA also introduced the NEMO Tron coalition to build open models, datasets, and tools Here’s the breakdown. #NVIDIAPartner #NVIDIAGTC
→ View original post on X — @ronald_vanloon, 2026-04-07 10:00 UTC