Faster AI workflows mean little if every transaction costs more; the real test of automation is whether it improves margins, ...

Business users can bring fresh perspectives to AI use cases, but 7% say their agent creations have gone rogue. Here’s what to ...

The choice between managed services and infrastructure you control sets the ceiling on what you’ll ever know about AI spend.

As frontier AI changes the speed and economics of cyber risk, CIOs must rethink long-standing assumptions around how they ...

The agentic era is at an all-time frenzy for CIOs as their teams build agents, balance human talent and achieve RoI. Is FOMO ...

As AI agents begin executing purchases, enterprises face new lock-in risks around financial rails, delegated authority, ...

An effective product function depends on more than hiring and training. Its structure, priorities and independence determine ...

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.

Great CIOs don’t pick sides between speed and quality or control and autonomy—they find a better way to make both work.

AI may make software testing cheap, but it can’t automate the hardest part: knowing what quality actually looks like.

Many of the promises made at the 2026 Sapphire conference in May are coming to fruition this month in SAP’s October update.