Video: Continuous Intelligence in Healthcare
IBM's Mike Beddow describes his experiences with clients using historical and streaming data to improve patient care.
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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 …
Protected: Event-Driven Applications with Red Hat AMQ Streams (eBook)
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Video: Continuous Intelligence in the Public Sector
Mike Beddow, IBM Cloud and Analytics Sales Leader, discusses continuous intelligence technology adoption trends in the public sector. His case study on the use …
The Crucial Role of Streaming Technology for Business (White Paper)
Organizations today need to be aware and nimble to develop a sustainable competitive advantage. This capability starts with giving employees access to …
Getting Started with Stream Processing
In this technical webinar, sponsored by Hazelcast, Java Champion Ben Evans provides an introduction to stream processing as well as an overview of core …
The Evolution of Stream Processing and Top Use Cases
Stream processing is a hot topic right now, especially for any organization looking to provide insights faster. But what does it mean for users of Java …
What Can You Do with Continuous Intelligence?
By integrating continuous intelligence systems into business processes using real time and historical data, organizations can respond in near real
Five Warning Signs That Your Custom Applications Are Being Left Behind
Purpose-built applications are an integral part of any company’s mission-critical business processes. They are the crown jewels that differentiate a business …
Enhancing Intelligent Real-Time Monitoring Using Real-Time Digital Twins
Real-time digital twins offer a powerful new approach to streaming analytics that should dramatically increase the quality of both real-time introspection and …