From advancing the AI agenda to cementing IT’s business value, CIOs are pushing vital 2026 projects across the finish line ...

Picking an AI model is the easy part; the choices that really matter are how you run inference, size compute and decide where ...

As agents move into shared conversations, CIOs need to know who requested an action, who authorized it and which system will ...

AI’s $10 billion deployment push won’t bring AI into the economy. Enterprises need fewer forward-deployed engineers and more ...

The 27th annual DSAG congress sees SAP users determined to set their own course, pace, and priorities in the face of SAP’s ...

As AI models become increasingly commoditized, competitive advantage will shift to how well organizations understand their ...

AI’s free ride is ending, and since context now lives on flash storage, volatile SSD prices could blow up your token budget.

Teams are building AI on their own because the official route is too slow, so governance has to meet them where they work or ...

The new capabilities are designed to help enterprises move from one-off AI projects to continuous workflow automation.

When anyone can build software in an afternoon, the CIO’s problem shifts from finding developers to controlling what gets created.

Application portfolio modernization and rationalization remain key — though complex — undertakings for IT leaders. A business ...

You wouldn’t hand a new hire the keys and walk away, yet that’s exactly how most companies deploy AI, then wonder why it keeps failing.