AI-powered resilience is quickly becoming a must-have in banking. Customers expect services to work 24/7, regulators expect strong security, and engineering teams are still pushing frequent releases while modernizing older systems. In that environment, traditional monitoring, such as fixed thresholds, hand-tuned alerts, and separate dashboards, doesn’t scale. It creates noise, misses early warning signals, and struggles with seasonal traffic patterns and complicated dependencies in distributed platforms. This keynote explains how AI-based anomaly detection can be applied as a real operational capability within DevOps and SRE, rather than treated as a side machine-learning project.

As a speaker, Amol shares frameworks and real-world patterns on operational resilience, release excellence through automation and observability, and AI/ML in DevOps, helping engineering leaders turn telemetry into decisioning and turn governance into a delivery accelerator. At ITAI 2026, he brings a practitioner’s perspective on how organizations can survive and thrive in the age of AI-driven intelligent systems.