Cloudera Anywhere Cloud gives AI agents safe, secure access to sensitive data wherever it lives

Weak API controls are flagged as a critical security threat as AI agents integrate into enterprise workflows, with Gartner projecting 40% of enterprise apps will have task-specific agents by year-end.

AI inference is evolving from a GPU-centric challenge into a system-level problem, with storage latency, network bandwidth, and power consumption becoming critical data center infrastructure concerns.

Astromech raised $20M at a $3.8B valuation to develop AI models forecasting biological and evolutionary change, led by Bob Nelsen with participation from Peak 6, NeoGenesis Capital, Builders VC, and CAZ Investments.

AI-first neocloud providers are reshaping enterprise infrastructure as the industry shifts from training to inference workloads, driving new collaborations between hardware, data platforms, and cloud providers.

Knowledge graphs are becoming a foundational layer for enterprise AI, with a new class of layered data architecture helping organizations transform scattered data into trustworthy, context-rich answers for AI models.

Graph neural networks are transforming enterprise fraud detection by mapping hidden relationships between bad actors and revealing interconnected fraud patterns that traditional transaction-based systems miss.