As organizations accelerate digital transformation and adopt AI-driven ways of working, leaders are re-evaluating the systems, processes, and data that power agile delivery. Today, delivery data is no longer just a byproduct of work—it is a strategic enterprise asset. To leverage AI responsibly, organizations must first establish a foundation of data integrity, robust governance, and end-to-end traceability across the entire delivery pipeline. As organizations modernize their delivery ecosystems, leaders are evaluating how cloud, hybrid, and self-managed solutions align with their security, compliance, operational, and AI strategies. What happens when these requirements demand greater control over how delivery data is managed and accessed? How do organizations evaluate their options while maintaining governance, enabling innovation, and ensuring AI is built on trusted data? Join experts from Scaled Agile, Icon Agility, and Broadcom for a panel discussion on how enterprises can successfully scale SAFe® while enabling AI parity, even within highly regulated environments. Key Discussion Topics: Data Integrity as the AI Foundation: Why trusted, high-fidelity delivery data is the ultimate prerequisite for successful enterprise AI. LPM & VSM for Data Readiness: How Lean Portfolio Management and Value Stream Management act as mechanisms for data readiness. Governance as an Innovation Enabler: Shifting the mindset to see compliance guardrails as catalysts for AI innovation, rather than barriers. Traceability & Compliance: How deep pipeline traceability serves a dual purpose—meeting strict compliance needs while unlocking AI capabilities. Control & Flexibility: Balancing agility with the precise deployment model and data control your enterprise requires.