๐ฎ๐๐๐๐๐๐๐ ๐ช๐๐๐๐๐๐ ๐๐ ๐จ๐๐๐๐๐๐ ๐จ๐ฐ ๐จ๐๐๐๐๐
ใซใผใใฎใขใคใใ ใๅคใใใพใ
ใซใผใใซ่ฟฝๅ ใงใใพใใใงใใใ
ใฆใฃใใทใฅใชในใใซ่ฟฝๅ ใงใใพใใใงใใใ
ใปใใ็ฉใชในใใฎๅ้คใซๅคฑๆใใพใใใ
ใใใใญใฃในใใฎใใฉใญใผใซๅคฑๆใใพใใ
ใใใใญใฃในใใฎใใฉใญใผ่งฃ้คใซๅคฑๆใใพใใ
๐ฎ๐๐๐๐๐๐๐ ๐ช๐๐๐๐๐๐ ๐๐ ๐จ๐๐๐๐๐๐ ๐จ๐ฐ ๐จ๐๐๐๐๐
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Agent Sense โ Episode 8: Governed Catalog of AI Assets
Enterprise AI agents does not fail from lack of ideas. They fail from agent sprawl: duplicate builds, unclear ownership, no way to know what is safe to reuse. Jyotsna Narayanan, Principal Product Manager for watsonx Orchestrate at IBM, joins host Monika Aggarwal to break down what a governed catalog of AI agents, tools, and MCP servers needs to include, how to evaluate reuse readiness using references like OWASP Top 10 and CoSAI, and where to start.
Topics: AI agents, agentic AI, enterprise AI governance, AgentOps, MCP, Model Context Protocol, watsonx Orchestrate, agent catalog, AI reuse, enterprise automation, production AI.
Vendor-agnostic, not monetized, based on field experience. Views are personal and do not represent IBM.