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.
As AI systems become capable of generating genuinely novel scientific results, determining who discovered something, who deserves credit, and what role the company behind the model played will become considerably harder.
A data analytics and marketing major at Bentley University and a distinguished lecturer at the university explore the future of "technology learning partners" — technologies that participate in the learning process by asking questions and giving feedback, not just information search results.
Broadcom's 2026 private cloud report says enterprise AI is moving from experimentation into production, with private cloud emerging as the preferred deployment environment for AI inference among surveyed organizations.