If you’re like most CIOs, your CEO’s viewpoint of and strategic outlook for AI has likely shifted several times over the past two-plus short years, perhaps even in contradictory ways. Initial doubts or disregard may have given way to full-out FOMO. Demands for copilots everywhere in everyone’s hands may have experienced pullback as the bills…
Following the IT and tech hiring boom during the Covid-19 pandemic, companies made space for AI initiatives that resulted in increased layoffs. But new data reveals that some IT hiring trends are starting to turn around. Pay in the most AI-exposed occupations grew around 46% since 2021, compared to only 25% for jobs in the…
The digital twin concept earned its credibility in engineering. Its origins trace to a 2002 University of Michigan presentation in which Michael Grieves described a “Mirrored Spaces Model”: a virtual system holding the information about a physical one, linked to it throughout its life. For example, a jet engine manufacturer builds a precise virtual replica…
Your AI agents are making decisions faster than your teams can review them. Governance requires the same speed. In order to accomplish their given tasks, agents gain access to new applications and business data around the clock. But every autonomous decision raises a question you’ll eventually have to answer: Can you prove the agent acted…
An AI trust deficit occurs when an organization deploys autonomous AI agents faster than it can prove those agents are acting within policy. It’s the gap between what AI agents are doing and what CIOs can clearly explain to a board, auditor, or regulator. Closing that gap requires audit-ready context: evidence showing who owns an…