IBM puts governed context at the core of production-grade AI
IBM proposes using "governed context" to support production-grade AI agents. Shaun Clowes, who leads its Confluent and data business, introduced the "streamhouse architecture," which combines streaming, connectivity, processing, governance and query capabilities to govern data close to where it is generated and deliver it directly to LLMs. Clowes stressed that agents need context and governed metrics tailored to specific tasks, and that enterprises can start with high-value tasks and let the system keep learning at every layer.
IBM proposes using "governed context" to support production-grade AI agents. Shaun Clowes, who leads its Confluent and data business, introduced the "streamhouse architecture," which combines streaming, connectivity, processing, governance and query capabilities to govern data close to where it is generated and deliver it directly to LLMs. Clowes stressed that agents need context and governed metrics tailored to specific tasks, and that enterprises can start with high-value tasks and let the sys
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