The Evolution of Stream Processing and Top Use Cases

See firsthand how you can quickly build real-time smart building applications to allow for a safe return to work.

Cathy Reese, Partner, IBM Advanced Analytics Global Practice Leader, discusses the benefits and inhibitors her clients are experiencing as they implement continuous intelligence strategies. Learn how an insurance company is analyzing historical data for context and streaming telematics data to provide personalized service and pricing.

Cathy Reese, Partner, IBM Advanced Analytics Global Practice Leader, discusses continuous intelligence in the chemical industry, including how one chemical company is transforming customer service by analyzing historical data for context and streaming data to make up-to-the-minute recommendations to their customers.

Cathy Reese, Partner, IBM Advanced Analytics Global Practice Leader, discusses the benefits and inhibitors her clients are experiencing as they implement continuous intelligence strategies. In this video, Cathy provides examples from the transportation, utility, and retail industries to provide practical lessons learned.

Agentic AI changes where value is created in the software stack. When analysts discuss the “death of SaaS,” they rarely mean that cloud applications will disappear. Instead, they mean the SaaS model may lose its central role in enterprise computing.

A unified semantic layer standardizes business definitions across systems, creating a shared contract for how metrics are defined, documented, and governed. That contract applies to dashboards, notebooks, APIs, and AI systems alike.

Domain-specific LLMs are how businesses move from AI curiosity to AI utility where outcomes are measurable, adoption actually sticks, and teams trust what the model tells them.

The transition to a truly agentic enterprise is not merely an IT upgrade. Such a transition is an architectural and philosophical metamorphosis. The organizations that scale with confidence are those that recognize this early.