Last fall, you couldn’t open a business publication without tripping over some version of the same headline: where is the ROI for AI? The anchor for most of that coverage was MIT’s “GenAI Divide” report, which found that despite $30 to 40 billion in enterprise generative AI spending, 95% of pilots delivered no measurable P&L…
Every enterprise AI strategy these days has mostly the same core cast: Software engineers who log online events data, data engineers who move data from online to offline data warehouses, data scientists who build machine learning models, AI/ML engineers who deploy these models to production systems and data analysts who consume these data outputs and…
The AI revolution has created new opportunities for CIOs, with expanded responsibilities and more authority, but some observers see the opposite happening at some organizations. While many CIOs have become the main executive leading AI strategy and initiatives, some organizations have set the responsibility for AI deployment and adoption with another executive. That puts CIOs…
The scariest thing about frontier AI is that it gives lazy criminals better legs. That sounds flippant until you watch how cyber failure works. I have seen that weakness in many costumes: A server waiting for a patch, an access path nobody wants to touch, a supplier marked “low risk” because the contract said so,…
Much of the conversation around AI and work has centered on a single question: Will AI take my job? It’s an understandable concern. Every week AI becomes increasingly more capable. We see AI summarizing meetings, generating content, analyzing data, writing software and automating workflows that once required significant human effort. Agentic AI is also becoming…