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You already know who they are—the few who figured out AI on their own and are shipping 3x faster. Everyone else is working the same way they did two years ago. A lunch-and-learn won't fix this; you need a workflow rewire.

Something shifted in December. The tools got genuinely good, but most teams are still using AI for autocomplete—which is like buying a Ferrari to drive to the mailbox. We close that gap in 2 days using your actual codebase.

I'm thrilled to have provided a small contribution to Ray Eitel-Porter, Dr Paul Dongha, and Miriam Vogel's new book Governing the Machine, now available. Thank you for mentioning 2021.AI and our GRACE AI Platform 📘 It's encouraging to see the market increasingly recognize that AI platforms must integrate both operations and governance. Too many solutions are "either/or": strong governance tooling without operational depth, or robust MLOps/LLMOps without embedded governance. That's suboptimal - you need both. AI is fundamentally different from technologies organizations have scaled before. You can't simply bolt on a governance layer; it must be embedded in model development, deployment, monitoring, and improvement - as part of the operating model, not an afterthought. A responsible approach to AI has never been more critical, which is why I deeply appreciate efforts like this book that bridge theory and execution. Thank you for the timely insights on AI Governance, and congratulations on an outstanding book, Ray, Paul, and Miriam! 👏 #aigovernance #responsibleAI #AI4good #GRC #AIGRC

One of the biggest reasons AI projects fail isn’t the models — it’s the foundation. Complex infrastructure, unclear governance, and compliance risks often stall promising initiatives before they can create real value. That’s why I am so excited about our new partnership with Sentia. Together, we’ve launched a fully managed AI platform that removes these barriers and gives enterprises a secure, scalable, and compliant foundation for AI. By combining Sentia’s hybrid cloud expertise with 2021.AI's GRACE Platform, enterprises can: - Speed up time-to-production for AI projects - Apply AI safely even to sensitive data - Enable internal teams to focus on innovation instead of operations This is a great step forward for Sovereign AI — creating environments where enterprises can innovate with confidence, knowing their data and models remain secure, governed, and in a location they trust. Marius Jeppesen Kim Lars Jakobsen Casper Hansen Bjørn Olesen Ditte Stage Mikael M. #SovereignAI #ResponsibleAI #AIGovernance #HybridCloud #AIAdoption #Partnership