Data Management | News, how-tos, features, reviews, and videos
As enterprises race from pilots to autonomous systems, rising costs, fragile governance, and unrealistic expectations are forcing a reckoning. So what separates agentic AI initiatives that survive from those that quietly shut down?
From copilots to agentic solutions, CIOs should adopt longer-term, more strategic methods to measure AI-driven value.
The real AI edge isn’t the model — it’s how well it understands your business, fits into daily work and runs on your unique data.
A trend taking shaping this year is the geopatriation of data workloads. Europe, for instance, wants to reclaim data and move it to clouds where it has control, something that’s already changing CIO decisions and the cloud market.
Why 2026 demands faster AI readiness, stronger data control, and a new level of CIO leadership. Learn more today.
AI agents are powerful, but without a strong control plane and hard guardrails, they’re just one bad decision away from chaos.
…and how CIOs can close the gap.
Drawing on experience earned at other auto industry stalwarts, the new CIO is strengthening an already successful operation and pushing it further ahead.
This year’s IT playbook is clear: Hybrid everywhere, AI guarding security, data treated like a product, automation doing the heavy lifting and compute moving to the edge.
Top-notch data operations are essential for enhanced decision-making, operational efficiency, and fueling AI. Here’s how IT leaders are evolving their data management strategies to make the most of their data.
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