11 От видения к скорости, версия 2

What does it take to turn enterprise AI strategy into measurable business results? For established companies, AI transformation requires more than deploying new technology. It demands disciplined data architecture, governance, organizational change, and a clear understanding of how AI creates business value. In this conversation from the Digital Leadership Agenda 2027 conference, Shaun Braun, Chief Information & Technology Officer at Zimmer Biomet, and Dham Pathervellai, SVP & CTO at Ingram Micro, join moderator Meghna Sinha, Senior Industry Fellow at UC Irvine's Center for Digital Transformation, to explore how established enterprises are moving from AI experimentation to measurable outcomes. Shaun outlines Zimmer Biomet's three-phase transformation strategy: building the foundations for responsible AI, transforming enterprise workflows, and ultimately reimagining the organization. He explains how cross-functional teams, AI governance, and finance-validated scorecards help connect technology investments to business results, including approximately $108 million in identified potential EBITDA impact for the following year—not all of which the company expects to realize. Dham describes Ingram Micro's evolution from digital transformation to what he calls intelligent transformation. By combining data lake and data mesh architecture with an AI factory and intelligent agents, the company is using AI to uncover sales opportunities across its global distribution network. Dham reports that an AI-powered intelligent data assistant contributed $1 billion in additional top-line revenue in a single quarter. The discussion examines why enterprises must build their own AI capabilities, embed technical expertise within business teams, and rethink employee incentives and organizational culture. It also explores the emergence of autonomous enterprises, where AI agents increasingly support business decisions and operations. This panel offers a practical perspective on what AI transformation actually delivers—and the organizational discipline required to turn technological potential into sustained competitive advantage. ➡️ This session is part of the Digital Leadership Agenda 2027 conference. Watch more conversations at the frontier of AI, digital strategy, and enterprise leadership in our series playlist here:    • 2026 SIGNATURE CONFERENCE: The Digital Lea...   Featured Speakers Shaun Braun Chief Information & Technology Officer, Zimmer Biomet LinkedIn:   / shaun-braun-524656   Dham Pathervellai SVP & CTO, Ingram Micro LinkedIn:   / dhampathervellai   Moderator Meghna Sinha Senior Industry Fellow, Center for Digital Transformation, UC Irvine Chief AI Officer, Kai Roses, Inc. LinkedIn:   / meghnasinha   Chapters 00:00 From Legacy Enterprise to Frontier Firm 00:49 Zimmer Biomet: AI, Robotics & Data in MedTech 03:18 Three Phases: Deploy, Reshape, Reinvent 05:16 Governance First & Owning the Data Architecture 06:39 The Build Renaissance: Why Build Beats Buy 09:24 Forward-Deployed Pods at the Edge 11:36 The Finance-Audited CEO AI Scorecard 13:33 Ingram Micro's Three Chapters of Transformation 16:28 Data Lake vs. Data Mesh for AI Agents 18:56 Measuring AI Value: $1B in One Quarter 20:52 The North Star: The Autonomous Enterprise 21:34 Why Culture Is the Hardest Part 24:41 Incentives, Mindset & Who Makes the Journey Stay Connected Thank you for watching! Subscribe for more insights on AI, innovation, and the digital economy. #EnterpriseAI #ArtificialIntelligence #DigitalTransformation #AIStrategy #AgenticAI #AITransformation #EnterpriseArchitecture #AIROI #DataMesh #AIGovernance #BusinessTransformation #AutonomousEnterprise #ZimmerBiomet #IngramMicro #AILeadership #CDT #UCI