Data Faces Podcast
Data Faces Podcast
Podcast Description
Data Faces is a podcast that brings the human stories behind data, analytics, and AI to the forefront. Join us for engaging interviews and discussions with the industry’s leading voices—the leaders, practitioners, and tech innovators who are shaping the future of data-driven decision-making. In each episode, we explore the culture, challenges, and real-life experiences of the people behind the numbers. Whether you're a tech executive, data professional, or just curious about the impact of data on our world, Data Faces offers a refreshing look at the individuals and ideas driving the next wave
Podcast Insights
Content Themes
The podcast covers themes such as the impact of AI on business, data integrity, historical lessons on technology, and ethical considerations in AI. Episodes include discussions on why 90% of Gen AI projects might fail, the role of trusted data in successful AI initiatives, and how historical revolutions inform our understanding of AI's future potential.
Data Faces is a data, analytics, AI, and marketing podcast that brings the human stories behind the numbers to the forefront. Hosted by David Sweenor — author and founder of TinyTechGuides — each episode features engaging conversations with the industry’s leading voices: the data leaders, analytics practitioners, AI innovators, and marketing leaders shaping the future of data-driven decision-making. We explore the culture, challenges, and real-life experiences of the people behind the numbers — enterprise AI adoption, data governance, generative AI, analytics, and B2B marketing.
Amin Venjara, chief data and product officer at ADP, joins Data Faces on location at the 20th annual CDOIQ Symposium in Cambridge, Massachusetts. He explains why a contractor going on about wood, nails, and concrete will never win over a homeowner who just wants to entertain in the backyard, and why data teams make the same mistake when they pitch the business.
Amin walks through the framework from his session, value equals data plus capabilities, and how ADP treats its internal data platform like a product that builders across the company choose to use. He describes the annual Data and AI Day that drew 2,100 people, the hackathon that feeds it, and the metrics his team tracks to prove the platform is creating value. He closes with a concrete example of a data product that gives chat applications full customer context, so every team stops rebuilding the same stitching work.
What you will learn:
1. Why data alone does not create value, and what capabilities like semantic layers and entity resolution add2. How treating the data platform as a product changes the relationship with internal customers3. How a hackathon and a 2,100-person Data and AI Day make foundational data work visible to executives4. What a real data product looks like, using normalized customer context to power chat and agent experiences
Chapters:
0:00 Welcome from CDOIQ in Cambridge
0:24 Icebreaker: baseball on the radio and a love of math
2:09 Amin's role and what ADP does
3:43 Wood, nails, and the deck: value equals data plus capabilities
7:10 Treating the data platform like a product
9:13 Inside the hackathon and Data and AI Day
13:16 The metrics that prove the platform creates value
14:43 A data product in action: customer context for chat
17:25 Sign-off
Watch more Data Faces on location: https://tinytechguides.com/data-faces-podcast/?utm_source=youtube&utm_medium=video&utm_campaign=cdoiq2026-amin-venjara&utm_content=descriptionConnect with
Amin Venjara on LinkedIn: https://www.linkedin.com/in/venjara/ADP: https://www.adp.com
#DataFacesPodcast #CDOIQ #DataProducts #DataStrategy
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