Podcast
CDO Magazine Podcast Series
Hosted by CDO Magazine · EN
The CDO Magazine Podcast Series is a one-of-a-kind series of data-world debates conducted by and for CDOs. The podcast series covers a wide range of topics, including machine learning, artificial intelligence, data technology, the Internet of Things, and robotics. Podcasts range from mini episodes covering high-level themes to longer, in-depth interviews with practicing data professionals and leaders. No matter where you are in your data science career, staying up to date on the latest in data and how it is gaining significant attention is always a good idea. To remain up to date, subscribe to the CDO Magazine Podcast Series.
73episodes
Episodes
Newest firstAll episodes
PODCAST | Why Data Product Adoption Matters More Than Production, TI Automotive’s Head of Data & AI Explains
Mar 2300:13:23Tap to summarizeIn the final episode of this three-part series, Apurva Wadodkar, Senior Director and Head of Data and AI at TI Automotive, discusses how organizations can drive real adoption of data products across the enterprise.In conversation with Merav Yuravlivker, Chief Learning Officer at Data Society, Wadodkar introduces the “Data Buffet” framework, which organizes data products by business domain and brings stakeholders directly into the design process.Key insights include:💠Why data product adoption is the true measure of success💠Fixing upstream data quality issues through the “leaky faucet” mindset💠Embedding standards and governance into data architecture💠Preparing for emerging manufacturing challenges such as tariffs and supply chain volatilityRead Part 1 here.Read Part 2 here.
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PODCAST | Inside Daimler Truck’s Data Strategy for Agentic AI
Mar 2300:14:56Tap to summarizeAs AI agents begin to enter enterprise workflows, organizations must rethink how trust, governance, and context are built into data systems.In this episode, Edgar Gallo, Chief Data Officer at Daimler Truck North America, joins Susan Wilson of Alation, to discuss how metadata, data catalogs, and organizational culture are enabling AI transformation inside one of the most complex manufacturing environments.Gallo explains why the future of the CDO role is built on influence, collaboration, and curiosity, and why metadata is emerging as the operational trust layer that allows AI agents to function reliably at scale.This episode is Part 1 of a three-part series exploring AI transformation in manufacturing.
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PODCAST | Schneider Electric CAIO on Turning AI from Experiments into Scalable Value
Mar 2300:15:08Tap to summarizeIn this episode of the CDO Magazine podcast, Philippe Rambach, Chief AI Officer at Schneider Electric, explains why the company avoids treating AI as a simple innovation initiative.Instead, Schneider Electric approaches AI as enterprise transformation that requires clear governance, operating models, and shared technology platforms.In conversation with Dr. Julian Schirmer of OAO and HEC Paris, Rambach discusses how Schneider Electric is building AI capabilities that move beyond experimentation and deliver value at scale.Listeners will learn:💠Why scaling AI requires more than successful pilots💠How hub-and-spoke AI teams combine expertise and domain knowledge💠Why enterprise AI platforms help prevent technology fragmentation💠How reusable AI modules accelerate value across use casesListen to the full discussion.
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PODCAST | The Data Model Behind Mars’ Analytics Evolution
Mar 1200:20:43Tap to summarizeIn Part 2 of this series, Mars data leaders Ujjwal Sehgal and Rachel Belino explain how the organization moved from siloed analytics to reusable, cross-domain data. The conversation explores why a common data model became essential, how Mars balances fast delivery with long-term data investment, and how these foundations are preparing the enterprise for agentic AI.In conversation with Shachin Prabhat of Tiger Analytics.This episode offers practical guidance for data and AI leaders working to scale adoption, reuse, and enterprise impact.
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PODCAST | How to Define AI Success Before Deployment — Hear from a Fortune 500 AI Governance Leader
Mar 1100:10:03Tap to summarizeAs enterprises invest aggressively in generative and agentic AI, many leaders face a critical challenge: defining what success actually looks like.In this episode, Fortune 500 data governance and responsible AI leader Patrick McQuillan joins Peter Geovanes of Juris Tech to discuss how executives should approach AI investments with discipline and long-term thinking.McQuillan explains why organizations must anchor AI initiatives to customer outcomes, define acceptable risk thresholds early, and build the governance and infrastructure needed for sustainable results.He also warns against short-term thinking that produces quick wins but erodes long-term value.Key discussion points:🔹Why AI initiatives should start with customer value🔹Defining measurable outcomes before deployment🔹The risks of over-focusing on POCs🔹Why emerging technologies like agentic AI lack consistent standards🔹How infrastructure and talent planning future-proof AI programsListen to Part 1 here.Listen to Part 2 here.
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PODCAST | AI Governance and Decision Intelligence with TI Automotive’s Apurva Wadodkar
Mar 1000:10:01Tap to summarizeAs enterprises accelerate AI adoption, governance is becoming one of the most important challenges facing data leaders.In this episode, Apurva Wadodkar, Senior Director and Head of Data and AI at TI Automotive, joins Merav Yuravlivker, Chief Learning Officer at Data Society, to discuss how organizations can build governance structures that support both oversight and innovation.Wadodkar outlines a practical approach to AI governance built around four pillars: security, privacy, architecture, and legal review. She also explains why enterprises should maintain a central repository of AI initiatives and how architecture governance can prevent duplicated efforts across teams.The conversation also introduces Wadodkar’s Decision Intelligence Framework, designed to help data organizations focus on improving business decisions rather than simply delivering analytics outputs.This episode is Part 2 of a three-part series exploring how enterprises are building scalable AI capabilities.
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PODCAST | AI That Reduces Delays and Length of Stay: Lessons from GE HealthCare
Mar 500:12:17Tap to summarizeHealthcare is entering a new phase where AI is becoming foundational infrastructure rather than isolated pilots.In this episode, Parminder Bhatia, Chief AI Officer at GE HealthCare, joins Cindi Howson of ThoughtSpot to discuss how leaders should think about AI architecture, the rise of hybrid edge and cloud systems, and the real-world impact AI is already delivering in hospitals.They also explore workforce transformation, AI literacy, and what leaders must prepare for as AI becomes embedded into everyday healthcare operations.
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PODCAST | From Energy Savings to Knowledge Retention: AI at Schneider Electric
Mar 300:15:54Tap to summarizeWhat does it take to move AI from experimentation to enterprise impact?In this episode, Philippe Rambach, Chief AI Officer at Schneider Electric, explains how the company is embedding AI across its global energy technology portfolio. The discussion covers energy optimization, grid balancing, employee productivity, and preserving institutional knowledge.In conversation with Dr. Julian Schirmer, Co-Founder at OAO.This is Part 1 of a three-part series exploring how Schneider Electric is scaling AI to deliver measurable value.
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PODCAST | From Compliance to EBITDA: The New Role of AI Governance
Feb 2600:09:45Tap to summarizeOrganizations have more data than ever, yet leaders still struggle to act with confidence.In this episode, Mars leaders Ujjwal Sehgal and Rachel Belino join Shachin Prabhat of Tiger Analytics to explore why the gap between data and decision-making persists.They discuss:🔷The hidden causes of the data-to-insight gap🔷Early lessons from scaling people analytics at Mars🔷Why reusable data is becoming a strategic priority🔷The importance of discoverability, governance, and lineageListen Now.
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PODCAST | More Data, Less Confidence? Mars Leaders Explain Why
Feb 2600:11:20Tap to summarizeOrganizations have more data than ever, yet leaders still struggle to act with confidence.In this episode, Mars leaders Ujjwal Sehgal and Rachel Belino join Shachin Prabhat of Tiger Analytics to explore why the gap between data and decision-making persists.They discuss:🔷The hidden causes of the data-to-insight gap🔷Early lessons from scaling people analytics at Mars🔷Why reusable data is becoming a strategic priority🔷The importance of discoverability, governance, and lineageListen Now.
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