DataStax Acquires Machine Learning Firm Kaskada

In the US, real-time AI company DataStax has acquired machine learning company Kaskada, which enables practitioners to train behavioral models directly from event-based data. Terms of the deal have not been disclosed.

Seattle-based Kaskada offers a platform which ingests historical data from data warehouses and data lakes and takes in messages from streaming data sources, transferring events-based data into a usable format for aggregations and other feature calculations. The platform is designed to help build models to calculate, for instance, the time a user made a large purchase, or when a customer churned after their planned subscription date. Using this point-in-time and event-driven data to train models, the same feature values can then be used to make new predictions using a live model in production.

Following the takeover, Datastax will initially open source the core Kaskada technology, and says it plans to offer a new machine learning cloud service later this year. Chet Kapoor (pictured), DataStax Chairman and CEO, comments: 'DataStax has many customers already using real-time data, and with Kaskada as part of our services portfolio, we can give them the opportunity to use that data to create powerful experiences for their customers with real-time AI. It's an exciting time for DataStax, and we have a clear new mandate: real-time AI for everyone'.

Web sites: www.datastax.com and www.kaskada.com .

All articles 2006-23 written and edited by Mel Crowther and/or Nick Thomas, 2024- by Nick Thomas, unless otherwise stated.