Bill Schmarzo
Industry Expert | LinkedInBill is the former chief innovation officer at Hitachi Vantara, where he was responsible for driving Hitachi Vantara's data science and "co-creation" efforts. He was selected for Hitachi Limited's 2020 Solution Innovation Award for his groundbreaking work in data science and automated machine learning. Bill also has served as CTO at Dell EMC, where he formulated the company's big data practice strategy, identified target markets, developed frameworks and led analytics client engagements with his Vision Workshop, a methodology that links an organization's strategic business initiatives with supporting data and analytics. As the vice president of analytics at Yahoo, Bill delivered the analytics tools and applications that optimized customers' online marketing spend. He is the author of Big Data: Understanding How Data Powers Big Business, Big Data MBA: Driving Business Strategies with Data Science and his most recent book The Economics of Data, Analytics, and Digital Transformation. He is a University of San Francisco School of Management executive fellow, honorary professor at the School of Business and Economics at the National University of Ireland-Galway, and adjunct professor at Menlo College. Bill holds a Master of Business Administration from the University of Iowa and a Bachelor of Science degree in Mathematics, Computer Science and Business Administration from Coe College.
10 articles by Bill Schmarzo
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The hidden data costs missing from AI budgets
Oct. 2, 2026 -
Why AI should build on, not copy, your data stack
Sept. 15, 2026 -
AI doesn’t have a trust problem. Your data does.
Aug. 25, 2026 -
AI value comes from continuous learning, not automation
July 31, 2026 -
Your AI isn’t failing -- your metrics are
July 21, 2026 -
What is data culture? A guide for data-driven organizations
Oct. 3, 2025 -
6 key steps form a data-driven decision-making framework
Aug. 28, 2024 -
Use RAG with LLMs to democratize data analytics
Aug. 13, 2024 -
Best practices for integrating AI and ESG strategies
July 18, 2024 -
Use these 10 steps to successfully build your data culture
March 21, 2024