Key Note Day 2

• Paul Zikopoulos, Award- Winning Author, Speaker, Future Trends Expert, and VP of Technology Group Skills Vitality & Enablement at IBM

Tuesday, April 26th
12:45pm - 2:00pm
Austin Ballroom

Session Description

Tuesday Lunch Keynote

Speaker Information

In a rapidly transforming world, data has become the new competitive advantage. And according to future trends expert Paul Zikopoulos, “Every day we walk by solvable problems, leaving opportunities untapped.” The VP of Technology Unit Skills & Enablement at IBM, Zikopoulos discusses how working these “solvable problems” creates disruption in the marketplace and how golden signals of opportunity can be found within mountains of noise.

Exclusively represented by Leading Authorities speakers bureau for lectures, Paul is changing the way audiences are looking at their businesses in terms of potential sales, obstacles, potential for growth, and how they utilize technology, such as cloud applications, to support their organizations. Paul shares future trends that are starting to happen in real-time and have multiple applications: from garbage cans that alert sanitation departments when they need collection – saving cities millions – to shampoo brands that are connecting weather forecasts with personal consumer profiles to suggest the right mix of hair products for the day. He easily discusses the next generation of technological change from the power of machine learning and voice-to-text, to the opportunities in reading digital body language and joining the Internet of Things trillion sensor economy, and more.

Incredibly energetic and easy to follow, Paul is the antithesis of what many people think of when they consider a big data expert. Using incredible visuals, including a hashtag aggregator that instantly creates examples of perfectly segmented consumers live on stage, Paul amazes audiences with the amount of information available to change the conversation about your industry. By sharing his insights on where big data comes from and the idea that “If you aren’t paying for it, you are being sold,” Paul breaks apart the roles of data collection and decision making for executives seeking the opportunities for disrupting their industry and leap-frogging the competition.

At IBM, Paul leads from the front, owning accountability and strategic direction in a “tech years are like dog years” world for the entire IBM Technology Unit’s (all IBM software and hardware) sales, tech sales, and partner ecosystem learning journeys, and upskilling programs.

Paul is an award-winning tech thought leader and writer who has shared his expertise on AI and big data on the popular TV show, 60 Minutes, as well as in publications such as Technopedia and Analytics Week. He has published 21 books, including Cloud Without Compromise: Hybrid Cloud for the Enterprise and three ‘For Dummies’ titles, and more than 360 articles during his, as he calls it, accidental 28-year career as a data nerd — which he began with no prior coding experience. Among the leading voices in tech and big data, Paul has been named in dozens of global “Experts to Follow” & “Influencers” lists, including Analytics Insight’s “Top 100 Global AI & Big Data Influencers” and SAP’s “50 Big Data Twitter Influencers.” Currently, he is writing an O’Reilly book on Hybrid Cloud. An expert in harnessing the power of big data, Paul brings real world experience from his at time managing more than 1,400 professionals to help groups build influence and affect change in their organization.

Paul has taken an active role in bolstering Women in Technology, LGBT and general workplace inclusivity (completing an intensive D&I certificate at Cornell University), and Coding for Veterans. In addition to being the first and only male ever to be recognized as an IBM Canada “Women in Technology Ally of the Year” award winner, he is a seated board member for Switch (formerly known as Women 2.0), a global network and social platform for aspiring and current female founders of technology ventures, as well as on the world-recognized Masters of Management Analytics and AI program boards at Canada’s prestigious Queen’s University.