AI is only as good as the data that trains it and governing that data has never been more critical. With AI-powered technologies scanning, sorting and analyzing data at once unthinkable rates, companies must elevate their data management to ensure integrity and security while AI rapidly integrates into all areas of data infrastructure. The stakes have never been higher — poor data governance doesn’t just compromise AI performance, it exposes organizations to regulatory penalties, reputational damage, and ethical failures that can undermine stakeholder trust.

Join us for the Data Governance in AI Summit and hear from data governance leaders, AI practitioners, compliance officers, and technology innovators as they share proven strategies for building governance frameworks that protect your organization while accelerating responsible AI adoption. You’ll gain practical insights on establishing model governance protocols, implementing privacy-preserving AI techniques, ensuring data quality and provenance, and creating the policies and controls needed to deploy AI systems that are ethical, compliant, and trustworthy.

Whether you’re building your first governance framework or refining existing practices to meet new regulatory demands, register soon to gain actionable strategies, real-world case studies, and expert connections that will help you turn data governance from a compliance burden into a strategic enabler of AI innovation.