IBM makes governed context central to production AI
SiliconANGLE: IBM puts governed context at the center of production AI
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 […] The post IBM puts governed context at the center of production AI appeared first on SiliconANGLE.
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Governed context means providing AI agents with the right, current information tailored to their specific business tasks, rather than giving them access to all possible company data. As enterprises deploy AI agents to make autonomous decisions across multiple business systems, these agents need real-time data that reflects changing conditions and definitions specific to each task they perform. The approach requires new data architecture that can gather and govern information from various sources across a business and deliver it directly to AI models without requiring centralization first. This matters because an AI agent's reasoning capabilities depend on having appropriate, current information available, and autonomous operations require agents to access operational data continuously without waiting for human intervention.
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