AI can accelerate implementation, but it cannot take responsibility for architectural quality, security or long-term maintainability.
Are AI browsers safe? A single web page can hijack an agent working inside your logged-in accounts. Here’s how to limit what it can reach.
AI and data governance depend on data foundations that are trusted, explainable, policy-aware and continuously governed.
AI agents behave like evolving operational actors rather than predictable applications.
A serious AI program will generate failed experiments. The maturity of the program is measured by how cleanly it ends them.
Too many executives believe financial fraud is a consumer problem. Here’s why that’s becoming an increasingly risky—and expensive—assumption.
Strong edtech should respond to where students are, surface options for what they need next and give teachers useful information to lead the way.
As adoption in prediction markets continues to grow, I believe traditional markets and these novel markets will converge.
The workforce of 2030 will not be defined by headcount alone. Instead, it will be defined by how effectively people, AI systems, automation and intelligent machines operate together as a unified system.
Practical AI governance requires a sandbox approach that manages connectivity without breaking the underlying business process.