Predicting System Failures with AI in Banking - with Dale Skeen of Vitria Technology episode artwork

EPISODE · Sep 4, 2025 · 24 MIN

Predicting System Failures with AI in Banking - with Dale Skeen of Vitria Technology

from The AI in Business Podcast

Banks face some of the highest stakes when it comes to IT reliability. Even small disruptions can ripple into regulatory exposure, reputational harm, and major financial losses. Yet many financial institutions still rely on reactive monitoring systems that chase alerts without addressing the root causes of outages. On today's episode of the 'AI in Business' podcast, Dale Skeen, CTO and Co-founder of Vitria Technology, explains how AI and agentic systems are reshaping IT operations in financial services. Vitria Technology is a global leader in AI-driven operations platforms, helping enterprises move from data analysis to automated action with its flagship VIA AIOps solution. Built for scale, VIA AIOps delivers total ecosystem observability and intelligent automation, reducing downtime, improving customer experience, and accelerating ROI. Dale's appearance goes into great detail on how knowledge graphs improve explainability and trust, how automation is already reducing time to resolution for common failures, and how AI copilots are helping teams tackle the most complex system outages. Dale also shares a roadmap for financial leaders looking to reduce downtime, cut manual toil, and scale toward self-healing IT systems—one sprint at a time. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! This episode is sponsored by Vitria Technology. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

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Predicting System Failures with AI in Banking - with Dale Skeen of Vitria Technology

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This episode was published on September 4, 2025.

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Banks face some of the highest stakes when it comes to IT reliability. Even small disruptions can ripple into regulatory exposure, reputational harm, and major financial losses. Yet many financial institutions still rely on reactive monitoring...

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