Making the Most of your Investment in Hadoop (White Paper)

The mandate for the remainder of the year is clear: business leaders can no longer outsource AI responsibility to the IT department. Because AI is making business decisions, business leaders must own the outcomes.

Real-time analytics and production AI systems are becoming deeply interconnected across modern enterprises. In real-time environments, resilient pipelines increasingly shape the reliability of the entire AI system.

In this week’s real-time analytics news: The Red Hat Summit saw numerous AI-related announcements from Red Hat and its partners.

Enterprise AI adoption is creating new security risks as sensitive data moves into public models, unverified AI tools enter production, and autonomous agents gain access to enterprise systems. In fact, today’s AI governance challenges mirror the shadow IT and SaaS security issues organizations faced in earlier technology waves.