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Explore the evolution from manually managed systems to autonomous, self-optimizing platforms in this 34-minute conference talk from Conf42 ML 2025. Madhuri Koripalli addresses the growing challenges of data explosion and presents a comprehensive framework built on four essential pillars: Metadata Intelligence (functioning as the system's nervous system), Self-Healing Data Pipelines, Predictive Resource Optimization, and Embedded Governance with Ethical AI considerations. The presentation progresses from explaining fundamental concepts to demonstrating practical applications, concluding with a forward-looking perspective on fully autonomous data platforms. Perfect for data engineers, ML practitioners, and technology leaders seeking to implement more efficient, resilient, and ethical data management systems.
