Usain Bolt
Eight-Time Olympic Gold Medalist | World Record Holder in 100m, 200m & 4x100m Relay | 11-Time World Champion | Four-Time Laureus World Sportsman of the Year
VP of Skills Vitality & Enablement, IBM Technology Group | Author of 22 Books on Data & AI Including AI Value Creators | Top 100 Global AI & Big Data Influencer
Paul Zikopoulos is an IBM vice president who leads the company's enterprise-wide AI reskilling and upskilling programs, and the author of 22 books on data and AI. Named to Analytics Insight's Top 100 Global AI and Big Data Influencers and consulted by 60 Minutes, he has briefed NATO leadership on AI strategy. On stage he is famously high-energy, running live AI demos and translating enterprise AI into practical, industry-specific moves.
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Paul Zikopoulos has spent three decades inside one of the world’s largest technology companies watching organizations either capture the value of new technology or walk straight past it. His central observation is deceptively simple: every day, employees pass by problems that are already solvable, and never realize it. Turning that gap into opportunity, at scale and across entire workforces, is what he does at IBM and what he brings to a stage.
AI speaker Paul Zikopoulos is Vice President of Skills Vitality and Enablement for the IBM Technology Group, where he owns the learning, reskilling, and upskilling strategy for the company’s entire software, hardware, and partner sales ecosystem. That gives him a vantage point few AI speakers have: he is not describing enterprise AI adoption from the outside but running one of the largest AI skills transformations anywhere. He is also the author of 22 books on data and AI, including AI Value Creators and The AI Ladder, and more than 360 articles.
Zikopoulos has been consulted on AI and big data by 60 Minutes, named to Analytics Insight’s list of the Top 100 Global AI and Big Data Influencers, and invited to brief NATO leadership on AI and data strategies for next-generation command and control. His talks are known less for theory than for live demonstration: he builds real workflows on stage, tailors examples to the industry in the room, and makes enterprise technology genuinely funny. Alongside his work at IBM, he serves on the board of Coding for Veterans, helping military personnel move from deployment into technology careers, and on the board of Queen’s University’s Master of Management Analytics and AI program. He is a longtime advocate for women in technology.
As a speaker, Paul Zikopoulos is high-energy, visual, and relentlessly practical, the rare technologist who can hold a non-technical room. He speaks on agentic AI and the next wave of productivity, moving organizations from bolting AI onto old workflows to redesigning work around it, building the AI skills and culture that make adoption stick, and the ethics, bias, and governance questions that come with it. Audiences leave with a portfolio of use cases they recognize from their own business and a plan they can start on Monday.
The AI conversation has moved past chatbots and prompt writing. Zikopoulos examines agentic AI, systems that don't just respond but act, already resolving IT tickets, running supply chain steps, and processing claims with minimal human nudging. He shows how these agents reason across workflows and improve over time, what they realistically unlock in productivity, and why governance and trust have to be built in from the start rather than retrofitted.
Most people meet AI through a chatbot on their phone. This talk moves an audience from that individual, consumer habit into thinking like a business. Fast, funny, and built around live demonstrations tailored to the industry in the room, Zikopoulos shows which applications genuinely accelerate a company, which are quiet time sinks, and the questions leaders should ask before committing budget to a use case.
Zikopoulos draws a sharp line between bolting AI onto existing processes and rebuilding those processes with AI at the center, and argues that only the second approach changes a company's trajectory. Using demos and real examples, he shows what that redesign actually looks like in practice, why most organizations stall at the first stage, and how leaders can make the jump from experimenting with AI to competing with it.
AI represents an enormous productivity opportunity, but as Zikopoulos puts it, vision without execution is just hallucination. Drawing directly on leading IBM's enterprise-wide reskilling programs, he argues the hardest skills to build aren't the deep technical ones but broad AI literacy and cultural readiness across the whole workforce. Audiences leave with a framework for inventorying and scaling skills by role, plus a skills plan leaders can hand to their teams immediately.
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