C3.ai CEO Tom Siebel outlines how AI will transform companies—and how the ‘RAG’ process can solve AI risks

—Enterprise software companies (Oracle, Siebel, others) gave large corporations control of their data and 20/20 hindsight into their performance and operations;

—Predictive AI allows corporations to use that data to predict the future, turning it into valuable intelligence;

—Generative AI democratizes that intelligence, making it accessible to everyone in the corporation through a natural language interface.

Siebel acknowledged the catalog of concerns that companies now have with generative AI—random responses, lack of traceability, no data controls, increased cyber risk, IP exposure, hallucinations. But he believes those will soon be solved through what’s called retrieval augmented generation (RAG) that allows large language models to provide the user interface, but then draws all information and intelligence from enterprise systems with deterministic and traceable responses and enterprise-quality data and IP controls. Remember that acronym—RAG—as it will be key to the future of using generative AI in large companies. (Full disclosure: C3.ai is a Coins2Day partner.)

For companies on this journey, Coins2Day will be continuing its series of AI learning events, in partnership with Accenture, at Coins2Day Brainstorm AI in London April 15-16. The team has a stellar group of experts lined up, including top executives from DeepMind, Microsoft, Palantir, Shell, Royal Philips, Maersk, as well as CEOs and founders of AI startups including Darktrace, EleutherAI, Precognition and more. You can learn more and request an invitation here, or shoot me a note.  

Other news below.

Alan Murray
@alansmurray
[email protected]

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This edition of CEO Daily was curated by Nicholas Gordon.