

Predicting System Failures with AI in Banking - with Dale Skeen of Vitria Technology
Sep 4, 2025
Dale Skeen, CTO and Co-founder of Vitria Technology, dives into the transformative power of AI in banking IT operations. He discusses how many banks still rely on outdated reactive systems, risking regulatory and reputational fallout. Skeen explains how AI and knowledge graphs enhance predictive capabilities and automate incident resolutions, ultimately reducing system downtime. He emphasizes building trust in AI applications and shares strategies for financial leaders to evolve towards autonomous, self-healing systems.
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Scale Demands Agentic AI
- IT complexity in financial services now outpaces humans' ability to manage it effectively.
- Dale Skeen says agentic AI and LLM-driven agents are required to assess, decide, and act autonomously.
Goal: Self-Healing Systems
- The new goal for operations is self-healing systems that detect, analyze, decide, and remediate automatically.
- Dale Skeen cautions we are at the starting point but platforms using GenAI enable that trajectory.
Knowledge Graphs Build Trust
- Knowledge graphs capture structured, machine- and human-readable IT knowledge and diagnostic patterns.
- Skeen argues this improves accuracy, reasoning, explainability, and allows guardrails for AI decisions.