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.

Real-time analytics is often approached as a technology upgrade. In practice, it is an organizational outcome. Organizations that succeed treat real-time analytics as the final stage of a deliberate progression.

The new Mplify Carrier Ethernet certifications provide independent, third-party validation of network performance for demanding AI workloads.

To operationalize sub-second RAG, the author proposes the FLASH Framework (Fast Latency Architecture for Streaming Hybrid retrieval), a 4-step methodology distilled from deploying 50+ enterprise pipelines since 2024.

Far from accelerating Excel’s extinction, AI agents are extending Excel’s lifespan by making it more accessible and more powerful.