Continuous Intelligence vs. Traditional Streaming Analytics (Special Report)
It’s no longer enough to simply ingest streaming data. Companies need to transition to developing insights that help them understand events in real
Video: Continuous Intelligence in the Chemical Industry
Cathy Reese, Partner, IBM Advanced Analytics Global Practice Leader, discusses continuous intelligence in the chemical industry, including how one chemical …
Hybrid Cloud for Streaming & Real-Time Analytics (Special Report)
Continuous intelligence (CI) produces insights from streaming data to take actions in milliseconds to minutes. It frequently makes use of artificial …
Video: Continuous Intelligence in the Transportation, Utility, and Retail Industries
Cathy Reese, Partner, IBM Advanced Analytics Global Practice Leader, discusses the benefits and inhibitors her clients are experiencing as they implement …
AI Everywhere: Modern Predictive Analytics (eBook)
AI everywhere has the potential to improve operations, enhance customer engagements, and speed the time to insight. Learn how AI embedded into business …
Special Report: Uniting Data Operations (DataOps) with Cloud Migration Initiatives
DataOps enables modern applications by making the transition to the cloud
Scaling Applications Without Abandoning SQL (Webinar)
SQL remains the de facto standard for operational applications to interact with back-end
Real-Time Payment Processing and Fraud Detection for the Mobile Age (Special Report)
Not long ago, nearly all payments originated from a relatively small number of point-of-sale
Video: Continuous Intelligence in Healthcare
IBM's Mike Beddow describes his experiences with clients using historical and streaming data to improve patient care.
A Reference Guide to Stream Processing
The traditional approach to processing data at scale is batching; the premise of which is that all the data is available in the system of record before the …