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RelationalAI, a startup that applies artificial intelligence directly to relational data, today announced the general availability of its Knowledge Graph Coprocessor on the Snowflake Data Cloud. The offering, first previewed last year (which we covered in-depth here), enables Snowflake customers to build knowledge graphs and leverage advanced AI and analytics capabilities without moving data out of their Snowflake environment.
“This is a huge win for the customer,” said Molham Aref, cofounder and CEO of RelationalAI, in an interview with VentureBeat. “Normally, in order to do the kinds of things we do — graph analytics, rule-based reasoning, prescriptive analytics, predictive analytics — you have to pull the data back out from Snowflake and put it into a point solution. If you’re a chief data officer, and you spent the last two or three years moving all your data to Snowflake, the last thing you want to do is move it back out.”
The RelationalAI Knowledge Graph Coprocessor is uniquely architected to apply AI directly to structured enterprise data in relational databases like Snowflake. This contrasts with most machine learning and AI approaches that focus on unstructured data like text, images and audio.
RelationalAI’s architecture enables advanced AI on enterprise data directly within a customer’s Snowflake account. (Image Credit: RelationalAI)
Tapping the potential of structured enterprise data with machine learning
“We’re the only system, the only solution that does AI on relational data as broadly and extensively as we do,” said Aref. “The most valuable data [in the enterprise] i …
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Time’s almost up! There’s only one week left to request an invite to The AI Impact Tour on June 5th. Don’t miss out on this incredible opportunity to explore various methods for auditing AI models. Find out how you can attend here.
RelationalAI, a startup that applies artificial intelligence directly to relational data, today announced the general availability of its Knowledge Graph Coprocessor on the Snowflake Data Cloud. The offering, first previewed last year (which we covered in-depth here), enables Snowflake customers to build knowledge graphs and leverage advanced AI and analytics capabilities without moving data out of their Snowflake environment.
“This is a huge win for the customer,” said Molham Aref, cofounder and CEO of RelationalAI, in an interview with VentureBeat. “Normally, in order to do the kinds of things we do — graph analytics, rule-based reasoning, prescriptive analytics, predictive analytics — you have to pull the data back out from Snowflake and put it into a point solution. If you’re a chief data officer, and you spent the last two or three years moving all your data to Snowflake, the last thing you want to do is move it back out.”
The RelationalAI Knowledge Graph Coprocessor is uniquely architected to apply AI directly to structured enterprise data in relational databases like Snowflake. This contrasts with most machine learning and AI approaches that focus on unstructured data like text, images and audio.
RelationalAI’s architecture enables advanced AI on enterprise data directly within a customer’s Snowflake account. (Image Credit: RelationalAI)
Tapping the potential of structured enterprise data with machine learning
“We’re the only system, the only solution that does AI on relational data as broadly and extensively as we do,” said Aref. “The most valuable data [in the enterprise] i …nnDiscussion:nn” ai_name=”RocketNews AI: ” start_sentence=”Can I tell you more about this article?” text_input_placeholder=”Type ‘Yes'”]