12 Императив суверенного ИИ v2

Who really controls your enterprise AI—your organization, your cloud provider, or your AI model vendor? As businesses deploy AI across critical operations, AI sovereignty is becoming a strategic question for enterprise leaders. But sovereignty goes far beyond data residency. It also involves control over AI models, intellectual property, agents, governance, infrastructure, and the ability to keep systems running as technology evolves. In this conversation from the Digital Leadership Agenda 2027 conference, Chetan Gupta, Chief AI Officer at Rackspace Technology, joins Frank Petterson, Chief Technology & Product Officer at Uniphore, and Jiby Varghese, SVP of Data and AI at Rackspace, to examine what sovereign AI means in practice. The panel explores why complete technological independence is rarely realistic—and why organizations must make deliberate choices about which parts of their AI infrastructure they need to control and which responsibilities they can share with trusted partners. Drawing on experience in healthcare, enterprise technology, and regulated industries, the speakers outline three essential stages of AI sovereignty: choosing the right level of control, building and governing the AI environment, and sustaining that environment as models, regulations, and business needs evolve. ➡️ 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 Frank Petterson Chief Technology & Product Officer, Uniphore LinkedIn:   / frank-petterson   Jiby Varghese SVP, Data and AI, Rackspace Technology LinkedIn:   / jibyvarghese   Moderator Chetan Gupta Chief AI Officer, Rackspace Technology LinkedIn:   / chetan-gupta-ai   Chapters 00:00 Meet the Panel: Rackspace & Uniphore AI Leaders 01:28 What Is AI Sovereignty? Defining Authority Over AI 02:32 Sovereignty in Healthcare: Data, Region & Latency 04:15 The Layers of Sovereignty: Data, Models & the Full Stack 06:06 Why 100% AI Sovereignty Is Unrealistic 07:00 The Fine Print: Zero Data Retention & Vendor Limits 07:55 Choose, Build, Sustain: A Sovereignty Framework 09:06 How Much Control Does a Regulated Enterprise Need? 10:24 Cloud Migration & Shared Responsibility with Vendors 11:39 Case Study: AI Medical Coding From Minutes to Seconds 12:20 AI Governance: Setting the Rules & Enforcing Them 13:08 Why DIY AI Gets Stuck in Pilot 15:31 What to Control vs. What to Hand to Partners 17:20 The Hidden Tech Debt of Building AI In-House 17:43 Sustaining Sovereignty: Drift, Regulation & Resilience 18:41 Surprises: Workforce Readiness & Sustainment Costs 20:35 Small Language Models Without an Army of Data Scientists 22:50 Key Takeaway: Partnering for Sovereign AI Stay Connected Thank you for watching! Subscribe for more insights on AI, innovation, and the digital economy. #SovereignAI #AISovereignty #EnterpriseAI #DataSovereignty #AIGovernance #ArtificialIntelligence #AIInfrastructure #AICompliance #DataGovernance #CloudComputing #PrivateAI #GenerativeAI #AITransformation #RackspaceTechnology #Uniphore #AILeadership #DigitalTransformation #CDT #UCI