Harnessing AI for Chaos-Resilient Data Quality

This conference talk from Conf42 Chaos Engineering 2025 explores how artificial intelligence can be leveraged to improve data quality resilience during chaotic conditions. In just 12 minutes, Shashank Reddy Beeravelly covers the critical importance of data quality management, introduces AI-driven solutions that can enhance data integrity, and shares real-world success stories of organizations that have implemented these approaches. Learn implementation best practices for integrating AI into data quality frameworks, discover the future trajectory of AI applications in data quality management, and gain valuable takeaways that can be immediately applied to create more robust data systems. The presentation progresses through a structured format, beginning with the speaker's background and concluding with actionable insights for data professionals.