For years, leaders in the artificial intelligence industry have warned that increasingly capable AI systems could eventually become dangerous, all the while continuing to race to build them. Now, their sentiments have changed.
A new Cloudera survey of 1,500 enterprise technology leaders found widespread AI-driven architecture changes, with governance problems, rising infrastructure costs, and workload placement pushing organizations toward more hybrid approaches.
According to Gartner's recent "Hype Cycle for Enterprise Architecture, 2026" report, enterprises are moving from AI experimentation toward a more industrialized approach to AI delivery.
AI is changing which human capabilities matter most at work, yet employees are reporting that some of those same capabilities are being eroded, according to a new IBM study.