Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”] and Snowflake Computing Forge Partnership to Bring AI to the Data Warehouse Built for the Cloud

Collaboration Helps Customers Maximize the Potential of Their Data Teams, the open source leader in AI, announced a new strategic partnership with Snowflake Computing, the data warehouse built for the cloud, to deliver the full power of AI and machine learning (ML) to the Snowflake data warehouse for enterprise organizations. Together, the companies deliver a comprehensive solution that directly connects H2O enterprise open source and H2O Driverless AI, with Snowflake and enables customers to deploy strong ML capabilities at scale and drive better, more efficient decision making.

“Our clients come to us to help deliver innovative and integrated multi-channel campaigns for their organizations. When dealing with millions of customer records each day, access to accurate, up-to-date data is critical, and we need scalable solutions that not only store that data, but provide insights into it,” said Richard Irwin, CEO at Direct Mailers. “Having and Snowflake Computing work together gives us the best of both solutions and only increases the value we can offer our customers.”

Read More: Interview with Ben Goertzel, CEO at SingularityNET

“Our mission is to enable organizations to be data-driven. Our partnership with reflects that,” Walter Aldana, VP Alliances at Snowflake said. “As companies rely more and more on their data to make decisions, the ability to use AI to power those decisions faster is critical. has built a world-class connector to Snowflake allowing enterprises to run more robust analytical workloads.”

Related Posts
1 of 1,474

“At, we are about building and supporting the AI ecosystem. We want makers – true experts in their fields who actually do and make the innovations that change the world,” said Sri Ambati, CEO and founder at “This extends to our partners. The team at Snowflake is changing how companies approach data warehousing for the enterprise. Working with Snowflake, we can bring AI and machine learning to more teams and organizations and make a significant impact on how they operate day-to-day. Direct Mailers is a true testament to the value organizations can realize when combining innovative AI and machine learning with the power of Snowflake.”

Read More: Interview with Angel Gambino, CEO and Founder of Sensai

With the new connector between H2O Driverless AI and Snowflake, customers now have direct access to AI and machine learning with an infinitely elastic data warehouse built for the cloud. Snowflake users now benefit from a single data connector that brings Driverless AI automatic machine learning with automatic feature engineering, machine learning interpretability and visualizations to the Snowflake environment. Through this partnership, customers can develop machine learning models that automatically improve and adjust over time with Driverless AI capabilities for “AI to do AI” while maintaining confidence in their ability to store and access aggregated data in a scalable cloud data warehouse.

Read More: Interview with Jeffrey Kofman, CEO and Founder at Trint allows organizations to save a significant amount of time and resources by automating the machine learning process and providing companies of all sizes with the power of a full data scientist team, allowing business analysts to get the information they need and data scientists to focus on more complex problems, rather than model refinement and optimization. Customers are seeing time savings from months to minutes and increased accuracy of their models. Now, and Snowflake customers can seamlessly integrate algorithms with the data in their Snowflake data warehouse, giving them flexibility, ease of use, cost efficiency and scale in a cloud environment.

Read More: The AI Gold Rush: How to Make Money off AI and Machine Learning!

Leave A Reply

Your email address will not be published.