Modernizing data lakes for AI while reducing costs

Implement AI successfully with the right information architecture to support your data

What is fast data?

Fast data is real-time data that typically comes in from streaming — such as through Internet of Things (IoT) technologies and event-driven applications — and is analyzed quickly to make rapid business decisions. In a recent study by Forrester, more than 75% of companies surveyed already use fast data solutions. Of those surveyed, 88% indicated they need to perform analytics in near real time on stored streamed data. See a summary of the study’s data in the Forrester infographic, The Future Of Data, Make It Fast (PDF, 453 KB).

IBM provides a database for fast data, with built in real-time analytics, AI and machine-learning tools for concurrent analysis of real-time and historical data. This approach allows businesses to take full advantage of fast data for deeper yet quicker insights.

IBM leading fast data products, IBM Db2® Event Store and IBM Streams, are now built into IBM Cloud Pak™ for Data, a fully integrated data and AI platform built on the Red Hat® OpenShift® Container Platform. Watch the video to learn more (01:55).

Fast data products from IBM

IBM Db2 Event Store

Respond faster with real-time analytics coupled with machine learning using this high speed database for IoT and streamed event data. 

IBM Db2 Event Store is also included in IBM Cloud Pak for Data along with other foundational services as part of the base edition to help you customize the platform to your unique needs.

IBM Streams

Available on premises or on IBM Cloud™, IBM Streams helps you analyze continuously available data from all sources to discover opportunities faster. Leverage the connector between IBM Streams and IBM Db2 Event Store for data persistence with super-fast object storage.

IBM Streams is also included in IBM Cloud Pak for Data along with other foundational services as part of the base edition to help you customize the platform to your unique needs.

 

"Thanks to our IBM solution, we should be able to provide timely advice to help people better manage their diabetes — potentially avoiding hospital visits, improving quality of life, and reducing the cost of care …"

— Huzefa Neemuchwala, Head of Data and Informatics Innovation, Diabetes Services and Solutions, Medtronic

                                

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Resources on real-time analytics with fast data

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