Responsible AI on the Databricks Data Intelligence Platform

In our AI-powered world, responsibility with AI isn't a nice-to-have - it's a requirement. Leaders in the use of AI cite responsibility by design as a key factor to success in generating value and competitive advantage. This dynamic presentation will showcase how you can turn responsible AI principles into practice on the Databricks Data Intelligence Platform. Our Responsible AI subject matter experts at Databricks will cover ethics, governance, regulatory compliance, and security and show you a clear path to safely and responsibly bring AI into your business. In this session, we'll explore recurring themes in emerging AI regulation, including data quality, risk assessment, security, documentation, and post-release monitoring. We will also examine tools like Unity Catalog, Delta Lake, MLflow, Model Serving, and AI Gateway.