IBM puts governed context at center of AI

IBM puts governed context at center of AI
IBM is positioning governed context as a core requirement for production AI agents. Shaun Clowes, general manager of Confluent and Data at IBM, argues that agents need tailored, current information rather than access to all available business data. IBM's streamhouse architecture, built on IBM Confluent, combines streaming, connectivity, processing, governance and querying to deliver relevant data close to where it originates. Clowes also emphasized agent specialization, saying governed metrics and defined business terms form the foundation on which models reason, with systems able to learn and improve at every layer.
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