DataRobot today announced at Snowflake’s annual user conference, Snowflake Summit 2023, an expansion of the DataRobot and Snowflake integration, enabling organizations to build, deploy and scale AI models on Snowflake, maximizing their existing Snowflake investments.
“The DataRobot AI Platform and the Snowflake Data Cloud are a powerful combination,” said Venky Veeraraghavan, Chief Product Officer at DataRobot. “Our integration with Snowflake for data preparation, model deployment, and monitoring brings the power of machine learning to where data resides, delivering an end-to-end enterprise-grade AI experience.”
DataRobot is joining Snowflake in mobilizing the world’s data to help organizations accelerate their AI lifecycles. New capabilities include:
“The launch of these integrations illustrates DataRobot’s commitment to helping customers mobilize the world’s data on Snowflake,” said Tarik Dwiek, Head of Technology Alliances at Snowflake. “We look forward to driving deeper value for our joint customers by enabling them to quickly iterate, improve models and complete the ML lifecycle without repeated configuration, all while leveraging the security, scale, and performance of the Data Cloud.”
“The DataRobot-Snowflake native integration is so seamless that I don’t even have to think about it,” said Luke Bunge, Data Science Product Manager at Polaris. “We can train models faster and do it with more confidence that we’re following appropriate steps to get to a ML solution that’s going to deliver value. As Polaris continues to grow, we’re really excited to have DataRobot and Snowflake be a central part of that growth.”
“The seamless integration experience between DataRobot and Snowflake means customers can get more value from their data and better identify data signals,” said Tim Crawford, CIO Strategic Advisor at AVOA. “As DataRobot continues to grow its broad enterprise ecosystem, we’re excited to see their generative AI capabilities expand as well.”
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