SAN FRANCISCO, June 4, 2024 /PRNewswire/ -- RudderStack, the warehouse native customer data platform, today announced at Snowflake Data Cloud Summit 2024 , its Predictions product, which enables data teams to rapidly generate predictive customer traits and deliver them directly to business users for activation.Predictions runs natively in Snowpark and automatically trains and runs ML models for churn prediction, LTV prediction, and propensity scoring, eliminating the need for complex MLOps and freeing data scientists to work on more valuable ML and AI projects.Predictions makes ML easy because it leverages the identity graph and customer 360 data sets generated by RudderStack's Profiles product in the AI Data Cloud. With direct access to comprehensive customer data and powerful ML infrastructure, Predictions can leverage the full power of Snowflake to deliver accurate predictive traits for every customer.RudderStack's upcoming speaking session at Snowflake Summit 2024 will showcase how its Profiles and Predictions products help companies drive more value from the AI Data Cloud. The session, titled "How Kajabi is fueling the creator economy using RudderStack & Snowflake," will take place on Tuesday, June 4, at 2:30 PM Pacific.RudderStack's Chief Operating Officer, Eric Omwega, will co-present alongside Aaron Newcomer, Director of Data Platform Engineering at Kajabi, a leading platform that empowers creators to build, market, and sell digital content. The session will focus on how Kajabi leverages RudderStack and Snowflake to collect data across the entire customer journey, model it into a customer 360 in Snowflake, and then activate it to build AI/ML products and deliver powerful customer experiences through their website, app, and marketing tools."We're thrilled to share the stage with Kajabi at Snowflake Summit and showcase how our partnership is turning Kajabi's customer data into a competitive advantage for their business," said Soumyadeb Mitra, CEO of RudderStack. "By leveraging RudderStack and Snowflake, Kajabi has been able to eliminate expensive data wrangling, supercharge their data engineering team, and focus on building a solid foundation for AI and ML use cases that directly impact their bottom line."During the session, attendees will learn how Kajabi used RudderStack's Event Stream and Profiles products to streamline data ingestion, standardize schemas, and create comprehensive customer 360 profiles within Snowflake's AI Data Cloud. This has enabled Kajabi to better understand their customer, launch new revenue-driving products, leverage ML for personalization, and ultimately fuel the growth of the creator economy.Profiles and Predictions have already delivered significant results for Kajabi and other customers like Wyze, a Seattle-based smart home technology company who fuels their AI engine with RudderStack and Snowflake."With Profiles, we are now able to resolve customer identities using our first-party data, compute machine learning user features, and deliver personalized recommendations to drive revenue," said Wei Zhou, Director of Data Engineering at Wyze

Top Performers - Astera Software, Hevo Data, Panoply, RudderStack, and Skyvia were awarded "Top Performer" honors.

To support this future, RudderStack Inc. is expanding its Reverse ETL source connections beyond data warehouses and data lakes with its new Trino Reverse ETL source integration.