DataRobot, the leader in enterprise AI, and Snowflake, the cloud data platform, unveiled a new integration designed to make customers more successful with AI.

The new integration dramatically simplifies the movement of data between DataRobot and Snowflake to better serve joint customers, allowing them to go from data to value faster than ever before.

The DataRobot enterprise AI platform provides automation across the entire AI lifecycle to accelerate and streamline a user’s journey from data to value. Snowflake provides an enterprise data platform built for the cloud that allows all users to gain limitless insight from their data at a fraction of the cost of legacy solutions.

With the new integration, users can now read data in Snowflake, create predictions in DataRobot, and send those decisions back to Snowflake seamlessly, removing the need for scripts and technical development.

Harmoney is one of many joint customers that leverages the power of DataRobot and Snowflake to maximize the value of its data science teams. As a marketplace lending platform,

Harmoney uses both technologies to gather, understand, and use critical data that informs the entire customer journey to make sure the experience is as delightful as possible.

“With Snowflake, we can get all of our data into one warehouse, and with DataRobot, we can make sense of all of the data we are giving it to derive deep predictions,” said Miles Davis, Data and Analytics Manager, Harmoney.

“The new integration takes these best-in-class technologies a step further, creating a seamless way to maximize the value of our models. We’re already reaping the benefits of the integration between these platforms and can’t imagine life without them.”

The integration builds on DataRobot and Snowflake’s previous partnership, which was designed to allow users to bring in data from Snowflake into DataRobot.

This new integration delivers even more value by sending predictions from DataRobot back into Snowflake directly, removing the need for scripts, technical development, or other steps to get results back to the data warehouse.

“A full circle integration is the number one item joint customers like Harmoney have asked us for, and we delivered on this so users can gain insight and act on their data to drive business outcomes,” said Michael Setticasi, VP of Alliances at DataRobot.

“We’re excited to expand our partnership with Snowflake and deliver even more value to our customers.”

“By leveraging the collective power of DataRobot and Snowflake, organizations can accelerate the adoption of data science and AI like never before,” said Chris Pouliot, VP of Data Science & Analytics at Snowflake.

“Through this expanded integration, we look forward to arming our customers with the tools they need to succeed in this data-driven world.”