Autonomous Databases, Where Autonomy Helps and Where It Hurts
Impossible d'ajouter des articles
Échec de l’élimination de la liste d'envies.
Impossible de suivre le podcast
Impossible de ne plus suivre le podcast
Autonomous Databases, Where Autonomy Helps and Where It Hurts
-
Lu par :
-
De :
À propos de ce contenu audio
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 and escalation data were wrong, so the actions were wrong.
If the data underneath these systems is fragile, should the data layer become autonomous too? In eposide 4 we are talking about autonomous databases, and what they can and cannot do in incidents like this.
I am Monika Aggarwal, AI Technical Practitioner. I build agentic workflows grounded in clear rules, good data, and governance. I am joined by my colleague Frank Chavez. He is a Technical Architect and hands-on builder specializing in multi-agent orchestration and AI integration patterns.
I bring the enterprise and operational view. Frank brings the engineering view.
