FeaturedThe Model Is Not the Product
A colleague sent me a LinkedIn post recently that made a claim which would have sounded absurd two years ago: parts of Microsoft Copilot now run on Anthropic’s Claude. I checked. It holds up. Microsoft’s own blog states
I keep seeing the same debate pop up on LinkedIn, at conferences, in vendor whitepapers. People asking: should Data Governance come before AI Governance? Are they the same thing? Are they complementary?
We talk a lot about AI moving fast. New models, new benchmarks, new capabilities. Every few weeks, something supposedly groundbreaking lands. Most of the time, the hype fades within a news cycle.
Financial services is the single biggest industry investor in AI globally, with an estimated $73 billion in spending in 2026, representing over 20% of all global AI spending.[1] JPMorgan Chase alone invests $18 billion i
How AI helps preserve ancient crafts, cultural heritage, street art and lost knowledge.
The shift from code-first to conversation-first analytics and what it means for data teams.
Exploring the governance challenges unique to AI agents and how to keep them aligned with organizational values.
Understanding when to augment human capabilities versus when to fully automate processes with AI.
Analyzing the viral prediction about AI's impact on employment and what the data really tells us.
How a framework of daily practices bridges the gap between governance theory and production reality for agentic AI systems.
Exploring how the first generation raised alongside AI will shape the future of human-AI interaction.
How artificial intelligence is transforming manufacturing processes and creating the smart factories of tomorrow.
Exploring the philosophical, ethical, and societal dimensions of AI that often go unaddressed in technical discussions.
The AI revolution isn't a binary story of jobs lost versus jobs created — it's transforming nearly all roles along a spectrum of change.
From diagnosing Parkinson's years before symptoms start to editing faulty genes with near-perfect precision — AI is transforming every corner of genetic research.