IBM puts governed context at the center of production AI – SiliconANGLE

Governed context is becoming a practical requirement for artificial intelligence agents expected to make decisions across a business. As enterprises move beyond personal productivity tools, those agents need information that reflects changing conditions across the systems they use.

IBM Corp.’s approach connects that data foundation to the broader challenge of putting AI into production. A large language model’s reasoning capabilities depend on the information available to it, making data delivery an operational concern, according to Shaun Clowes (pictured), general manager of Confluent and Data at IBM.

“You wouldn’t give your accounts receivable work to a nuclear physicist that worked on your energy production side of your business,” he said. “So, why would you take a very, very smart model, give it all of the possible information about your business and say, ‘Figure out accounts receivable?’ You need the right context for the job.”

Clowes spoke with theCUBE…