Garbage In, Liability Out: Data Quality, Governance, and AI You Can Trust
Can enterprise AI be trusted if the data behind it isn't? As organizations accelerate AI adoption, the quality, governance, and integrity of enterprise data are becoming critical factors in determining whether AI systems deliver reliable insights or introduce new business risks. In this session, "Garbage In, Liability Out: Data Quality, Governance, and AI You Can Trust," from COLLIDE Data + AI Conference 2026, data and AI leaders from Synchrony, Bank of America, Alteryx, Coca-Cola, Truist, and Brinks examine the relationship between data quality, governance, and trustworthy artificial intelligence. As AI systems become increasingly embedded in business operations, poor data quality can create challenges that extend beyond inaccurate predictions. Inconsistent information, insufficient oversight, and unclear data ownership can expose organizations to operational, regulatory, and reputational risks. For enterprise leaders, the challenge is building data governance practices that support innovation while maintaining accountability, transparency, and confidence in AI-driven decisions. This panel provides an opportunity to explore how organizations can strengthen their data foundations and approach responsible AI adoption across complex enterprise environments. 🎯 Key Topics to Explore: Data Quality and AI Reliability: Why accurate, consistent, and trustworthy data is essential for effective machine learning and AI applications. Enterprise Data Governance: How data ownership, governance frameworks, and quality controls can support responsible AI adoption. AI Risk and Accountability: The potential consequences of poor data quality for compliance, business decisions, and model performance. Responsible AI and Trust: The relationship between data integrity, transparency, and confidence in AI-powered systems. Scaling AI with Confidence: Key considerations for embedding governance and data quality practices into enterprise AI strategies. 🎤 Featured Panelists Charity Burroughs VP, Data Governance & Quality Oversight Leader | Synchrony Jacob Kosoff Data Science & Model Development Executive | Bank of America Jason Klein Director of Solutions Marketing | Alteryx Mahabir Panigrahi Director, Consumer & Shopper Analytics | Coca-Cola Anqi Zou SVP Head of Fair Banking Analytics | Truist Satya Angara Global Head, AI & Innovation | Brinks About COLLIDE Data + AI Conference 2026 Organized by Data Science Connect, COLLIDE Data + AI Conference 2026 took place on October 1, 2026, at the Sandy Springs Performing Arts Center in Atlanta, Georgia. The conference brought together enterprise decision-makers, data and AI leaders, and leading technology solution providers to explore the evolving AI landscape, scale AI responsibly, and exchange practical insights with industry peers. Session Presented By: Alteryx Learn more about COLLIDE: https://datasciconnect.com/events/collide/ ▶️ Watch More from COLLIDE 2026 Watch the full session to explore why data quality and governance are essential foundations for trustworthy enterprise AI. Subscribe to the Data Science Connect YouTube channel for more expert panels, executive keynotes, and discussions from COLLIDE Data + AI Conference 2026 covering enterprise AI, data governance, responsible AI, and AI transformation.