How Regulated Enterprises Turn Governance Into AI Scale - with Julian Tang of BlackRock

Enterprise leaders face a growing gap between AI ambition and the fragmented data, legacy systems, and cultural friction that prevent pilots from becoming scalable value.   In this episode, Julian Tang, Chief Operations Officer for the Innovation Office at BlackRock, examines how unified data foundations, modernized infrastructure, and transparent governance enable organizations to move from reactive experimentation to intentional, enterprise‑wide AI deployment, in conversation with host Matthew DeMello.   He highlights the practical shifts required to reduce friction, build trust in AI systems, and create repeatable playbooks that let teams scale responsibly and with confidence.   Learn how to identify real AI trends by tracking where venture funding is flowing, and by listening to how leading CEOs describe risk and competitive strategy. Download our free PDF report, "3 Ways to Discover AI Trends in Any Sector" at emerj.com/ait1