In this week’s real-time analytics news: NVIDIA and its partners made numerous AI-related announcements at this week’s annual GTC event.

NVIDIA launched NVIDIA Nemotron 3 Super, a 120 billion parameter open model with 12 billion active parameters designed to run complex agentic AI systems at scale.

In this week’s real-time analytics news: IBM launched Db2 Genius Hub, which brings autonomous capabilities to Db2.

In this week’s real-time analytics news: Red Hat announced Red Hat AI Enterprise and the Red Hat AI Factory with NVIDIA.

The IBM acquisition of Confluent is indicative of the tech world’s fixation on real-time data streaming. However, the more pressing issue is the overwhelming volume of unstructured documents that hold the critical context that real-time AI often overlooks.

In this week’s real-time analytics news: The European Commission prods the creation of frontier general-purpose AI systems.

By treating unstructured data as a strategic asset rather than an operational byproduct, enterprises can resolve the tension between innovation and control.

AI is quickly growing, and so must the enterprise environments that support it. Organizations that succeed will be those that pair innovation with governance, autonomy with accountability, and speed with structure.

In this week’s real-time analytics news: Oracle announced new agentic AI features for Oracle AI Database.

A look beyond the artificial intelligence hype: What will it take for real value to start showing up as companies implement AI?

AI agents are transforming Order Management Systems (OMS) from a static rules-based engine to a dynamic intelligence-based strategist.

Networking will play a more strategic role in enabling real-time digital operations and supporting the next generation of AI-powered applications.