Azure, Microsoft 365, Dynamics 365 and other Cloud Musings.
During the most recent podcast recording I made an offhand remark about feeling surrounded by agents. It was not a planned insight. It was just a moment of noticing how routine the whole thing has become. Agents now appear everywhere without invitation. They sit inside Microsoft 365. They assist in GitHub. They pop up in... Continue Reading →
Welcome to 2026! As we usher in a new year, the ‘Cloudy with a Chance of Insights’ team delves into the ripple effects of Microsoft’s recent acquisition of Osmos. In Episode 27, hosts Richard Hogan, David Rowley, and Cyrus Irandoust unpack what this move means for autonomous data engineering, AI-driven cloud security, and the skillsets... Continue Reading →
Bridging the gap between AI and medicine: Claude in Microsoft Foundry advances capabilities for healthcare and life sciences customers The convergence of artificial intelligence with healthcare and life sciences is accelerating, yet many organisations still grapple with fragmented workflows, mounting administrative tasks, and the relentless pace of scientific discovery. In my experience, bridging these gaps... Continue Reading →
Introduction, and the source of the uncomfortable truth This week, I have been revisiting the IBM Institute for Business Value research, Secure by design, smarter with AI. One finding should make every leadership team pause: 42 percent of executives rank their own operational shortcomings among their top cybersecurity threats, ahead of nation states and just... Continue Reading →
In the rapidly evolving landscape of software development, AI agents powered by large language models (LLMs) are increasingly tasked with complex, multi-step activities. Yet, as I’ve observed in both enterprise and research contexts, these agents often struggle with reliability and accuracy when the task complexity outpaces what static model inference can handle. Reinforcement learning (RL)... Continue Reading →
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