ai governance

  1. Agents of Change: Microsoft Canada's AI Transformation for Public Value

    When I read Microsoft Canada’s new “Agents of Change” manifesto, the message is unmistakable: Canada stands at a generational inflection point where AI can be more than a productivity lever—it can rewire industries, create new value chains, and reshape how governments and institutions deliver...
  2. glass365 Copilot: AI Driven Glass Order Entry in Dynamics 365 BC

    HEGLA‑HANIC’s new glass365 platform brings an industry‑tuned Microsoft Copilot into the heart of glass order entry, promising to turn hours of manual data entry into seconds of automated drafting—while keeping production teams firmly in control of every confirmation step. The system is built on...
  3. MCP: The Open Bridge for Enterprise Copilot Tools and Governance

    Microsoft’s Copilot ecosystem now has a formal bridge to the rest of an enterprise’s systems: the Model Context Protocol (MCP). That bridge is no niche add-on — MCP is an open, standardized protocol designed to let large language model (LLM) agents discover and call external tools, query...
  4. AI pricing shifts as Copilot goes premium and metered models roll out

    I’m a fan of AI, but the cheerful honeymoon phase where advanced generative models felt like free, magical helpers is over — and for ordinary users and IT buyers that means real sticker shock is coming. The message in a recent opinion piece is blunt: AI features are being folded into everyday...
  5. Satya Nadella Calls AI to Move From Spectacle to Systems for Real Value

    Satya Nadella’s short, deliberately conversational blog post — published on his new personal page branded “sn scratchpad” — asks the tech industry to move beyond spectacle and to stop reducing AI’s value to viral demos or meme-ready failures. He calls 2026 a pivotal year not because models will...
  6. Donovan Shell Bot War: Adversarial Archives and AI Hallucinations

    The long-running feud between John Donovan and Royal Dutch Shell has entered a new, surreal phase: a public “bot war” in which generative AIs — prompted from a partisan archive and then set against one another — openly contradict, correct, and amplify contested claims about events that began in...
  7. From Models to Systems: Nadella's 2026 Vision for Measurable AI Impact

    Satya Nadella’s short, blunt year‑end essay on his new personal blog positions 2026 as a tipping point for AI — not because models will suddenly get smarter, but because product discipline, systems engineering, and societal choice must now turn capability into dependable, measurable impact. In a...
  8. Microslop Moment: Can Microsoft Align AI Push with Windows Reliability

    Satya Nadella’s offhand instruction to “get beyond the arguments of slop vs sophistication” has become a corporate optics crisis for Microsoft — spawning the viral “Microslop” meme, intensifying scrutiny of Windows 11’s ongoing reliability problems, and arriving the same week users discovered...
  9. ServiceNow taps Hossein Nowbar as President and CLO to steer AI governance and rapid M&A

    ServiceNow’s hire of Hossein Nowbar as president and chief legal officer on January 5, 2026, crystallizes a broader strategic pivot: the workflow giant is stacking senior legal firepower as it accelerates an aggressive M&A program to build an AI‑native, data‑driven security and governance stack...
  10. Shell Donovan Bot War: AI Narratives in Contested History

    The decades‑long confrontation between British activist John Donovan and energy giant Royal Dutch Shell has entered an unexpected new phase: a public, AI‑driven escalation where chatbots are being used as both amplifiers and arbiters of contested history, producing divergent narratives that risk...
  11. Five Practical AI Playbooks for Startups and Enterprises

    Microsoft CTO Kevin Scott’s five practical recommendations for startup founders — and by extension any business leader — are a concise blueprint for turning AI promise into measurable enterprise value: anchor work in reality and feedback, exploit the existing “capability overhang,” mix...
  12. Nadella 2026 Plan: From AI Slop to Reliable Systems

    Satya Nadella’s year‑end blog is less a plea for kinder language than a strategic reset: stop calling generative output “AI slop,” build reliable systems around models, and make 2026 the year AI proves its value in the real world. Background / Overview The word “slop” became shorthand in 2025...
  13. From Models to Systems: Nadella's 2026 AI Vision for Reliable Human‑Augmenting Tech

    Satya Nadella’s New Year note arrives as a concise but consequential provocation: AI must stop being admired for raw capability and start proving its worth as reliable systems that amplify human judgment, not replace it. In a short essay published on his personal “sn scratchpad” blog and rapidly...
  14. Nadella's AI Reset: Slop vs Systems and the Microslop Backlash

    Satya Nadella’s New Year note asking the industry to “move beyond the arguments of slop vs. sophistication” has done more than reset a CEO’s priorities — it reignited a public spat about Microsoft’s AI direction, kicked off the viral “Microslop” backlash, and exposed the fragile trust at the...
  15. Nadella's Cognitive Amplifier: Building Systems That Augment Human Judgment

    Satya Nadella opened 2026 with a short, strategic essay that reframes a headline debate about generative AI into a product-and-policy agenda: stop arguing over whether outputs are “slop” and instead build systems that treat AI as a cognitive amplifier—a tool to reliably extend human thinking and...
  16. Nadella 2026 AI Reset: From Slop to Production Systems with Real Impact

    Satya Nadella opened the year with a pointed, strategy-first provocation: 2026 must be the year the AI industry stops trading in the shorthand of “slop versus sophistication” and instead builds systems that deliver measurable human benefit and earn society’s permission. Background Satya...
  17. Post Holiday AI Playbook for Leaders: Triage, Govern, Accelerate

    Leaders who return from the holidays facing an overfull inbox, a slippery calendar, and a sprinting Q1 agenda can use AI not as a gimmick but as an organized, governed toolkit to triage work, restore focus, and accelerate execution — provided they pair speed with clear guardrails and measurable...
  18. Microslop Backlash: Microsoft AI Push and the Trust Challenge

    Microsoft’s AI ambitions have collided with social-media ridicule and regulatory alarm this week as a new slang — “Microslop” — trended across X, Reddit, and Instagram, crystallizing a broader public revolt against what many users now describe as a force-fed, under‑polished AI makeover of...
  19. Nadella's AI Reform: From Slop to Systems and Human Amplification

    Satya Nadella’s end‑of‑year blog post asking the industry to “stop calling AI ‘slop’” arrived less like contrition and more like a strategic reframing — an attempt to move debate from visible product failures to a philosophical roadmap for “models → systems” and human amplification — even as...
  20. Nadellas AI Reset: From Slop to Systems Delivering Measurable Value

    Satya Nadella’s short New Year note asking the industry to “stop calling AI ‘slop’” is more than CEO spin — it’s a strategic reset that reframes success in generative AI from model-driven spectacle to engineered systems that must prove measurable, human-centered value before they can claim broad...