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
It’s no longer enough to simply ingest streaming data. Companies need to transition to developing insights that help them understand events in real
Cathy Reese, Partner, IBM Advanced Analytics Global Practice Leader, discusses continuous intelligence in the chemical industry, including how one chemical …
Companies are increasingly generating huge volumes of data at the network edge. Massive volumes of data are flowing from smart meters, Internet of Things (IoT) …
Continuous intelligence (CI) produces insights from streaming data to take actions in milliseconds to minutes. It frequently makes use of artificial …
Cathy Reese, Partner, IBM Advanced Analytics Global Practice Leader, discusses the benefits and inhibitors her clients are experiencing as they implement …
IBM's Mike Beddow describes his experiences with clients using historical and streaming data to improve patient care.
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 …
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Mike Beddow, IBM Cloud and Analytics Sales Leader, discusses continuous intelligence technology adoption trends in the public sector. His case study on the use …
Organizations today need to be aware and nimble to develop a sustainable competitive advantage. This capability starts with giving employees access to …