Nearly every organization has a genAI strategy. Far fewer have successfully deployed AI into production at scale. Moving from vision to execution requires more than selecting the right mode, it demands the right data foundations, infrastructure, governance, engineering practices, and cross-functional alignment to deliver measurable business value. Join AI and engineering leaders as they share how they're prioritizing high-impact use cases, overcoming the technical and organizational barriers to production, and building the capabilities needed to scale AI across the enterprise. Key takeaways → Prioritize AI use cases that deliver measurable business impact rather than isolated proofs of concept. → Build the technical foundations, from data and infrastructure to governance and security, needed for production-ready AI. → Overcome the engineering, organizational, and adoption challenges that prevent AI initiatives from scaling. → Measure success, iterate effectively, and turn early AI deployments into long-term enterprise capabilities.