The hidden economics of AI context

Over the last three decades, the major innovations in enterprise tech have focused on scaling the infrastructure. From VMs, to containers, to big data, to supporting millions of concurrent users on web and mobile applications – the focus was evolving distributed systems to handle more traffic and data, faster, without falling over. What we’re seeing…

How to grow nowhere

If you’re going to run your business like a rental car, at least admit it. There’s a certain kind of company that doesn’t have a strategy. It has an exit. And if you work in IT for one of these outfits, you already know it in your bones before you ever see it in a…

How CIOs use AI to better manage data lifecycles

Data is the fuel for AI since generative, agentic, and ML systems are only as effective as the information they consume. Across all stages of the data lifecycle, including creation, storage, usage, archival, and destruction, CIOs and their business peers must consider how information feeds AI services. Almost two-thirds of organizations are unsure whether they…