DataStax, the real-time AI company, today announced the launch of Luna ML, a support service for Kaskada Open Source, the unified event processing engine for real-time machine learning (ML). Luna ML supports customers with modern, open source event processing for ML, enabling customers to deploy Kaskada with professional support from DataStax.
DataStax announced the acquisition of Kaskada in January 2023 and released the Kaskada code under open source in March (available in the GitHub repository under the Apache 2.0 License), providing customers with open capabilities ideal for real-time AI and ML applications. As interest and use cases of Kaskada Open Source evolve, the DataStax Luna ML support service will provide users with the guidance needed to confidently deploy Kaskada technology.
According to Gartner1, by 2027, over 90% of new software applications that are developed in the business will contain ML models or services as enterprises utilize the massive amounts of data available to the business.
Today’s businesses are expected to leverage AI and ML technologies to fuel their product and provide informed and impactful customer experiences. A recent DataStax study found that 87% of consumers regard relevant recommendations as highly valuable with more than half of the respondents claiming that AI-powered recommendations drive brand trust and loyalty2. A strategic AI implementation powered by real-time data is essential for companies to ensure they stay competitive in the market.