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Shaun Clowes, head of Confluent and Data Business at IBM, proposed that governed context is a practical requirement for production-grade AI agents. He introduced the "streamhouse architecture," which combines streaming, connectivity, processing, governance, and query capabilities, governs data close to where it is generated, and delivers it directly to LLMs. Clowes emphasized that agents need task-specific context and governed metrics, and that enterprises can start with high-value tasks and let the system continuously learn at every layer. Currently, this proposition is presented in a SiliconANGLE report, with no subsequent independent development facts.
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IBM puts governed context at the core of production-grade AIDevelopments
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IBM executive proposes governed context to support production-grade AI
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Oct 23
SiliconANGLE
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.