DataStax Acquires Machine Learning Company Kaskada to Unlock Real-Time AI

SANTA CLARA, Calif.–(BUSINESS WIRE)–DataStax, the real-time AI firm, right this moment introduced it has acquired Kaskada, a machine studying (ML) firm that first solved ​managing​, storing​ and accessing​ ​time-based knowledge​ to prepare​ behavioral ML ​​fashions ​and ship the ​prompt, actionable insights​ that gasoline synthetic intelligence (AI)​.

Both DataStax and Kaskada have a observe document of contributing to open supply communities. Datastax will open supply the core Kaskada expertise initially, and it plans to supply a brand new machine studying cloud service later this 12 months.

Most machine studying initiatives don’t ship the outcomes that companies want as a result of the method is guide, complicated and irritating. Compounding this drawback, many fashions underperform as a result of they lack the relevance and context of real-time knowledge. The addition of Kaskada to DataStax’s portfolio of cloud providers—which right this moment consists of the massively scalable Astra DB database-as-a-service constructed on Apache Cassandra® and occasion streaming with Astra Streaming— will give organizations a single surroundings to simply and cost-effectively ship functions infused with real-time AI, utilizing a complicated ML/AI mannequin confirmed by trade leaders resembling Netflix and Uber.

“Businesses should function in actual time, utilizing knowledge to energy operations and gasoline prompt, knowledgeable selections and actions,” mentioned Chet Kapoor, DataStax chairman and CEO. “DataStax has many shoppers already utilizing real-time knowledge, and with Kaskada as a part of our providers portfolio, we can provide them the chance to use that knowledge to create highly effective experiences for his or her clients with real-time AI. It’s an thrilling time for DataStax, and we have now a transparent new mandate: real-time AI for everybody.”

“Many firms battle to see success with their large knowledge initiatives as a result of they don’t have the posh of huge ML and knowledge engineering organizations–the fee is giant and the time to impression is lengthy,” mentioned Davor Bonaci, Kaskada CEO. “We’re thrilled to be part of forces with DataStax to allow the real-time AI stack that simply works, fueled with knowledge from Astra DB.”

AI at Scale: Game-changing potential, however exhausting to obtain

According to Gartner®, “By 2027, over 90% of latest software program functions which can be developed within the enterprise will include ML fashions or providers as enterprises make the most of the huge quantities of knowledge accessible to the enterprise. These fashions will add data-driven intelligence to functions by integrating fashions that ship subsequent finest actions, forecasts, scoring, threat evaluation and plenty of different attributes for each buyer and worker transactions.1”

Yet many organizations have discovered it difficult to combine this intelligence into their operational functions.

Matt Aslett, vice chairman and analysis director at Ventana Research famous: “The emergence of clever functions infused with personalization and synthetic intelligence impacts necessities for operational knowledge platforms to assist real-time analytic performance. The want for real-time interactivity signifies that these functions can’t be served by conventional processes that depend on the batch extraction, transformation and loading of knowledge from operational knowledge platforms into analytic knowledge platforms for evaluation. Instead, they depend on evaluation of knowledge within the operational knowledge platform to speed up decision-making or enhance buyer expertise. High prices, complexity and scaling points have been roadblocks to many organizations in attaining dynamic, real-time intelligence of their operational platforms.”

The Kaskada expertise is designed to course of huge quantities of occasion knowledge as streams or saved in databases and its distinctive time-based capabilities create and replace options for ML fashions based mostly on sequences of occasions, or over time. It permits clients to adapt to quickly evolving content material and asynchronously creates options, permitting functions to use thousands and thousands of predictions based mostly on distinctive contexts.

“In e-commerce, you have to be in a position to instantaneously act on insights to present clients with essentially the most impactful experiences; and that requires the appliance of machine studying on real-time transactions,” mentioned Martin Brodbeck, CTO at Priceline. “We have thousands and thousands of shoppers utilizing our web site and cell apps at any given second and Astra DB is a robust element of the Priceline knowledge infrastructure. Our machine studying algorithms use huge knowledge troves to present helpful buyer insights, higher personalization, and higher journey suggestions, fueling our bigger buyer ecosystem.”

DataStax has launched a brand new feel and appear for the corporate as a part of their evolution to changing into the real-time AI firm delivering a high-scale database, superior occasion streaming and now real-time AI that helps clients construct quick and scale with out limits. The firm brand and general company identification have been refreshed with new colorways and coverings which have simply rolled out.

Additional Resources:

1Gartner, “A Mandate for MLOps, ModelOps and DevOps Coordination,” Van Baker, Nov. 22, 2022

About Kaskada

Kaskada is the machine studying firm that empowers practitioners to prepare behavioral ML fashions immediately from event-based knowledge and reliably serve them in manufacturing. With Kaskada, practitioners immediately join to occasion knowledge generated by real-time functions to get extra worth from the info to energy predictions, selections, and experiences. Kaskada’s characteristic engine brings iterative time-based characteristic engineering that mechanically protects from leakage with native time-travel and data-dependent windowing and supplies a strong knowledge infrastructure for computing, storing, and serving options in manufacturing. Visit for extra info.

About DataStax

DataStax is the real-time AI firm. With DataStax, any enterprise can mobilize real-time knowledge and shortly construct good, high-growth functions at limitless scale, on any cloud. DataStax delivers the Astra DB cloud database constructed on Apache Cassandra® and the Astra Streaming occasion streaming expertise constructed on Apache Pulsar™. Hundreds of the world’s main enterprises, together with Verizon, Audi, ESL Gaming and plenty of extra depend on DataStax to unleash the facility of real-time knowledge to win new markets and alter industries. Learn extra at

© 2023 DataStax Inc., All Rights Reserved. DataStax is a registered trademark of DataStax, Inc. and its subsidiaries within the United States and/or different international locations. Kaskada is a registered trademark of Kaskada Inc. within the United States and trademark of Kaskada Inc. in different international locations.

Apache, Apache Cassandra, Cassandra, Apache Pulsar, Pulsar and Apache Kafka are both registered logos or logos of the Apache Software Foundation or its subsidiaries in Canada, the United States, and/or different international locations.

GARTNER is a registered trademark and repair mark of Gartner, Inc. and/or its associates within the U.S. and internationally and is used herein with permission.

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