Beyond the Hype: The Real Work of Scaling Data and AI Solutions

The data industry has a dirty secret: while organizations rush to deploy AI solutions, 70-85% of these projects fail to deliver expected outcomes. After 25 years leading data transformations at major organizations such as Disney, Visa, and TD Bank, the pattern is clear: organizations build on quicksand instead of solid foundations. This presentation cuts through the hype to reveal what separates successful enterprise implementations from expensive failures. We’ll explore three critical foundations most organizations skip: – Strategic Business Alignment: Moving beyond “cool demos” to solve real business problems – Data Governance at Scale: Why pilots work with clean samples but production fails with organizational complexity – Adoption as Product Strategy: Building solutions humans actually use, not technical marvels that gather dust Whether you’re preparing for industry or tired of pilots that go nowhere, you’ll leave with practical frameworks and specific questions to identify—and build—the foundations needed for success at enterprise scale. Warning: Contains reality checks that conflict with current AI marketing.

Session Time

Speakers

Juan Gorricho

Former Executive Product Owner and Data Strategy

Toronto-Dominion Bank

BIOGRAPHY

Juan Gorricho is a transformative data and analytics executive with 25+ years of experience driving digital transformation across Fortune 500 organizations. Following his recent executive role at TD Bank leading an 800-member team with a $150M+ budget, Juan now advises organizations on data strategy and AI implementation both independently and through leading consulting firms. At TD Bank, Juan enabled $50M+ in business value through AI and machine learning platforms. At Visa, he managed critical data platforms enabling $1B+ annual revenue. His career includes leadership roles at TSYS implementing $60M+ data products and at Disney as Chief Data & Analytics Officer. A recognized thought leader and sought-after speaker, Juan has delivered keynotes at major industry conferences on data strategy, AI implementation, and organizational transformation. He is known for building high-performing teams that create analytics solutions delivering measurable business results. Juan holds an MBA from UVA Darden and an Industrial Engineering degree from Universidad de los Andes. He is fluent in English, German, and Spanish, and lives in McLean, VA.

stay up to date

Sign up for email updates on the 2022 symposium, and other analytics news within the Culverhouse College of Business.