The Value Engineering Playbook to Solve Real Problems with: Insights from the Dean of Data, Bill Schmarzo

Episode notes

If you think the mere presence of AI determines organizational success, think again. Because it’s when organizations use AI to support value creation, that success really takes a seat at the table. In this episode of Bringing Data and AI to Life, our host Amy Horowitz, VP of the Data Governance and Data Integration Solution Sales team for Informatica, welcomes the ‘Dean of Big Data’, Bill Schmarzo to the show, to unpack key strategies to transform data and AI initiatives into tangible business value. What You’ll Learn The Value Engineering Methodology to transform data initiatives from technology projects into value creation engines Why stakeholder involvement is crucial for successful AI adoption and implementation The “economics of data” - how it’s an appreciating asset that gains value through continuous use How to avoid monetizing data through sales instead of strategic value creation Key strategies to define and measure KPIs before implementing AI solutions Why AI should be viewed as an innovation tool rather than just a productivity enhancer If you enjoyed this episode, make sure to subscribe, rate, and review it on Apple Podcasts and Spotify.

Related episodes across the Index

Other episodes covering the same guests and topics, from across The B2B Podcast Index.

• Why Scott Brinker Says AI Can't Pick Your Tech StackMaking Sense of Martech · on Value engineering87 / 100
• The Nearshore Talent Advantage That's Scaling US Agencies Fast, with Brian SamsonCatalytic Leadership · on AI implementation76 / 100
• Episode 14, The Problem with… Legal Marketing: Special live episode with the Legal Marketing AssociationThe Problem With B2B Marketing · on AI implementation71 / 100
• Building Value Through Carve-Outs, Operational Transformation and AIThe Private Equity Podcast, by Raw Selection · on AI implementation70 / 100
• How Responsive validated a new software category using LinkedIn job postings instead of analyst reports | Ganesh Shankar BUILDERS · on Value engineering68 / 100
• Employee Engagement and Customer Experience: Fixing the Engagement DeficitThe B2B Revenue Executive Experience · on AI implementation67 / 100

• Why Great AI Solutions Start with Listening: Navigating the Data Quality Crisis with Joe Reis Part 277 / 100
• Why Most AI Strategies Fail Before They Even Start ft. Zoher Karu64 / 100
• The AI Guide Everyone Needs in 2026 ft. Gaurav Pathak47 / 100
• Why AI Has to be the Infrastructure, Not the Strategy ft. Elon Salfati55 / 100
• Why “Wait-And-See” Can’t Be Your AI Strategy ft. Steve Brown71 / 100