How McDonald's and JPMorgan Chase Safely Scale Experimentation

Learn how to transform feature management from a basic toggle system into a strategic delivery discipline through this interactive panel discussion featuring enterprise leaders from McDonald's and JPMorgan Chase. Discover the technical and business practices that enabled these organizations to ship features up to 50x faster while maintaining safety and data-driven decision making. Explore real-world case studies demonstrating how to expand experimentation capabilities beyond specialized teams, enabling developers to safely test features without requiring site reliability engineering expertise. Master progressive delivery techniques including canary rollouts, user segmentation, and blue-green deployments to eliminate downtime and accelerate code deployment to production. Understand how to implement A/B and multivariate testing frameworks that validate business value before full feature releases, while establishing governance structures with proper guardrails, auditability, and consistent flag management across multiple services, teams, and environments. Gain insights into the cultural shifts necessary to overcome common AI pilot failures caused by data silos and lack of safe failure mechanisms, transforming experimentation from a safety net into a competitive advantage for enterprise-scale organizations.