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DataStax Bolsters Real-Time Machine Learning with Kaskada Buy

DataStax, which arguably is best known as the commercial entity behind the scalable NoSQL database Apache Cassandra, turned some heads in 2021 with the addition of Astra, a real-time streaming data offering based on Apac Read more…

Feature Stores Emerging as Must-Have Tech for Machine Learning

Machine learning may be eating software, but it looks as though feature stores may be eating machine learning. In the rush to develop and roll machine learning applications into production, organizations are finding feat Read more…

2021: The Year of the Feature Store

Don’t look now, but feature stores--systems for developing, maintaining, and monitoring the data features used by machine learning algorithms for training and inference--are popping up all around us. Amazon Web Service Read more…

Prediction Time

"Those who can't remember the past are condemned to repeat it," argued George Santayana in his work The Life of Reason. If you cannot learn from your past mistakes, you will be ill-prepared to make good decisions going f Read more…

Getting Data Scientists and Data Engineers on the Same Page

Like cats and dogs, data engineers and data scientists often seem like two incompatible species. Scientists love probabilities and experimentation, while engineers live for repeatability and efficiency. They have differe Read more…

Kaskada Accelerates ML Workflow with Its Feature Store

There’s a lot of surface area in the typical data science workflow for the purveyors of automation to attack. What moves the needle for the folks at the startup Kaskada is the feature engineering and deployment stage, Read more…

This Just In

DataStax Acquires Machine Learning Company Kaskada

Jan 12, 2023 |

SANTA CLARA, Calif., Jan. 12, 2023 — DataStax, the real-time AI company, today announced it has acquired Kaskada, a machine learning (ML) company that first solved ​managing​, storing​ and accessing​ ​time-based data​ to train​ behavioral ML ​​models ​and deliver the ​instant, actionable insights​ that fuel artificial intelligence (AI)​. Read more…

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