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Theme: Do autonomous databases fix bad data, or do they mainly improve operational reliability? Why are organizations moving toward autonomous operations? In episode 3, we talked about an IT service agent that created operational noise during an outage. The AI agent acted fast, but the ownership a…
This episode explores the line between deterministic business logic and autonomous agents in real business operations, using a Commercial and Investment Banking onboarding scenario to show where rules work, where agents help, and where humans must stay in control. I am Monika Aggarwal, AI Technica…
Theme: As AI systems evolve from single models into networks of autonomous agents, integration is the primary bottleneck. Core Integration Challenges: Fragmented Tool Access Context Loss Across Agents Tight Coupling & Low Reusability Lack of Standardized Communication Integration needs sta…
Theme: Foundations & Data Readiness. Why do agents go rogue when the information source is weak? This is episode three: Why IT Service Agents Fail in Production, A Data Readiness Problem. Most enterprise agentic failures are not related to the model. They are data failures. We are using a real …
Episode 6 of Agent Sense continues from Episode 5, where we talked about MCP, A2A, and enterprise integration. In this episode, Monika Aggarwal and Frank Chávez discuss why enterprise agents need governed access to core systems before they can scale in production. MCP helps agents connect to tools…
Vastuuvapautusilmoitus: Tälle sivulle upotettu podcast ja kuvitus ovat peräisin Monika Aggarwal, Operational AI, IBM and Frank Chavez, Technical Architect, IBM:ltä, joka on sen omistajan omaisuutta, eikä se ole sidoksissa Listen Notes, Inc:n tukemaan.