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Frank Mendoza          

Award-Winning Analytics Leader, Customer Experience Expert & AI Strategist

Frank Mendoza, the Founder and Managing Partner of Catalytics, is a highly respected and award-winning analytics leader with over 20 years of experience in Strategy and Data Science. Catalytics is a data analytics consultancy helping Consumer Brands develop and implement actionable AI and Data Strategies to increase top-line revenue using trusted, reliable data. Established in 2015, Catalytics is a service company that has helped Fortune 500 enterprises use data to solve their toughest business challenges through advanced analytical solutions.

In his prior career within Dell, 3M, Ford Motor Co, and P&G, Frank attained world-class performance levels in Advanced Analytics, Strategy & Innovation, and Customer Success. Mendoza specializes in helping consumer brands increase top-line revenue through actionable AI and data analytics strategies. Throughout his career, Mendoza has partnered with well-known brands such as Nike, Kellogg's, Keurig, Dr. Pepper, and Jim Beam.

What sets him apart is the ability to make complex topics, such as AI and data analytics, understandable and accessible to the everyday person. If you're looking to implement AI into your business and want to identify the best approaches to do so, Mendoza can offer practical recommendations. He believes that AI should be a tool that empowers companies to grow and innovate, and is excited to share his expertise with your audience.

Frank holds a B.S. in Mechanical Engineering and an Executive MBA from The University of Texas at Austin. When not at work, Frank lives and plays in Austin with his wife and their two rescued shelter dogs.

Speech Topics


Generative AI Strategy & Best Practices

Prompt Engineering: Principles and Best Practices for Marketers

Generative AI: Framework for Identifying and Applying in Your Business

How to Tell If Your Business is AI Ready: Key Questions to Ask

Aligning AI and Data Analytics Solutions with Your Business Goals and Objectives

AI, Machine Learning, and Deep Learning: Understanding the Differences and Their Applications

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