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.

As distributed AI workloads scale across geographically dispersed GPU clusters, submarine fiber-optic cables become critical infrastructure for model training, real-time inference, cross-border data replication, and multi-region

Effective CISOs focus on making informed, defensible cloud risk decisions that support innovation without sacrificing control.

Security must scale alongside AI development rather than lagging behind. This requires rethinking AppSec and risk management as a continuous practice driven by intelligence.

AI can improve industrial inventory management where traditional systems struggle most. This includes forecasting intermittent demand, positioning inventory across multiple sites, improving execution accuracy, and moving surplus inventory from planning to action. In each case, the value comes from better decisions grounded in data.