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.
72episodes
Episodes
Newest firstAll episodes
PODCAST | AI Automation Depends on Trusted Data Ecosystems: Insights from Qlik and Deloitte
May 800:08:49Tap to summarizeWhat actually determines whether enterprise AI succeeds?According to former Qlik CEO Mike Capone, it’s no longer the models.It’s the harder work underneath:🔹Trusted data foundations🔹Governance and lineage🔹System alignment🔹Operational trust🔹Decision intelligence at scaleIn conversation with Dr. Adita Karkera of Deloitte, Capone explains why organizations moving toward automation and agentic AI must rethink how they operationalize trust across enterprise systems.The discussion also explores:• Why many AI initiatives fail to produce measurable outcomes• Why “walled garden” AI ecosystems break down• Why enterprises may already be closer to agentic AI than they think• Why rebuilding entire AI stacks can become expensive and riskyA timely discussion on where enterprise AI is actually headed and what leaders may be underestimating.Listen now.
Transcribe →
PODCAST | How Massachusetts Enables Secure Data Sharing Across Agencies to Deliver Resident Outcomes
May 800:05:25Tap to summarizeIn Part 2 of this series, Massachusetts CDO Karthik Yajurvedi breaks down what it actually takes to make data sharing work across government agencies.From early childhood systems to workforce programs, the conversation explores how secure, trusted data sharing enables real outcomes for citizens.Key themes include:🔷 Why fragmented data limits policy decisions🔷 The role of trust, privacy, and compliance🔷 How modern platforms and agreements enable collaboration🔷 What production use cases look like in practiceListen now.
Transcribe →
PODCAST | How Fugro Is Solving the Alignment Problem Holding Back AI
May 600:10:17Tap to summarizeMost organizations are not short on data or technology. They are short on alignment.In this episode, Vincent Brown, Regional Head of IT for the Americas at Fugro, joins Michael Sutter, CEO of Enlivened Tech, to unpack why transformation efforts fail when foundational steps are skipped.Brown introduces the “Swiss cheese model” of misalignment and explains how gaps in awareness, ownership, and accountability derail outcomes.You’ll learn:🔹Why awareness must come before execution🔹How to define and operationalize data ownership🔹Why IT enables data, but doesn’t own it🔹What strong data foundations mean for AI success🔹The leadership mindset required to navigate constant changeA practical conversation for data and AI leaders trying to turn ambition into execution.Listen now.
Transcribe →
PODCAST | USAWHC CDO: The Discipline Behind Data Initiatives That Scale
May 500:11:12Tap to summarizeMost data initiatives don’t fail during execution. They fail at the start.In this episode, Deepak Shah, Chief Data Officer at the U.S. Army Western Hemisphere Command, breaks down what it takes to build enterprise data initiatives that scale and endure.🔹Why most data initiatives fail before execution and how to fix the starting point🔹Using vision, mission, and goals as execution discipline🔹What “solve and scale” actually requires: structured intake, prioritization, and governance🔹Why trust, not the latest models or tools, determines whether data and AI initiatives scaleIn conversation with Adita Karkera, Chief Data Officer for Deloitte’s Government and Public Services.From vision and mission to measurable goals and execution discipline, this is a practical look at how transformation actually happens inside complex organizations.Listen now.
Transcribe →
PODCAST | AI in Oncology Is Fragmenting: City of Hope CAIO on Fixing It with Orchestration
Apr 2900:14:56Tap to summarizeAI in healthcare is scaling fast. Coordination is not.In this final part of a three-part series, Nasim Eftekhari, Chief AI and Analytics Officer at City of Hope, joins Erik Pupo of Guidehouse to examine what it takes to orchestrate AI at scale in oncology.Key takeaways:• Why agent orchestration is the next enterprise AI challenge• What happens when AI agents don’t communicate• How multimodal AI expands clinical intelligence• The data foundation still missing in healthcare• What defines scalable AI in oncologyIn conversation with Erik Pupo of Guidehouse.
Transcribe →
PODCAST | Public vs Private Sector Data Leadership With the Massachusetts CDO
Apr 2800:06:02Tap to summarizeIn Part 1 of this three-part series, the Chief Data Officer for the Commonwealth of Massachusetts discusses the foundations of public-sector data leadership. The interview explores how the role is structured, the similarities and differences between public and private sector data leadership, and the importance of storytelling in driving alignment and trust.In conversation with Adita Karkera, Chief Data Officer for Deloitte’s Government and Public Services.
Transcribe →
PODCAST | How Henkel Scales Data with Governance and Smarter Build vs Buy
Apr 2300:14:49Tap to summarizeScaling data and AI is not just a technical challenge. It is a series of decisions that shape how fast you move, how much control you retain, and whether your strategy holds up over time.In this episode, Katrin Botzen, Corporate Director, Global Data and Analytics at Henkel, breaks down what the company got wrong in its early data and AI journey, and how those lessons now guide its approach.The conversation with Julian Schirmer of OAO, focuses on practical, enterprise realities, from embedding governance and security into systems from the start, to making smarter build versus buy decisions, to enforcing architecture discipline in a fast-moving environment.If you are navigating the shift from experimentation to scale, this episode offers a clear view of what works, what fails, and what to do differently.
Transcribe →
PODCAST | Why Most AI Efforts Stall at Scale and What Truist Is Doing Differently
Apr 2200:12:29Tap to summarizeMost organizations are still stuck in AI pilots. A few are scaling.What’s the difference?In this episode, Truist’s Sanjay Sankolli breaks down the operating model shifts required to move from isolated AI success to enterprise-wide impact.You’ll hear:🔷Why governance should act as a guardrail, not a gate🔷How decision latency quietly slows innovation🔷What it means to move from AI tools to AI as an operating capability🔷Why data, trust, and alignment matter more than the number of AI modelsThis is the final part of a four-part series with Karan Jain, Founder and CEO of NayaOne, exploring how enterprises can operationalize AI in regulated environments.Part 1 examined why AI initiatives stall after promising pilotsPart 2 explored where AI is delivering measurable impactPart 3 focused on evaluating AI solutions without losing control
Transcribe →
PODCAST | How to Scale Oncology AI Safely: AI Governance Lessons from Hope LLM
Apr 2100:13:18Tap to summarizeHow to Scale Oncology AI Safely: AI Governance Lessons from Hope LLMAs AI adoption accelerates in healthcare, the real challenge is no longer proving value. It’s scaling responsibly.In this episode, Nasim Eftekhari, Chief AI and Analytics Officer at City of Hope, joins Erik Pupo of Guidehouse to unpack how Hope LLM is transforming oncology workflows across care, clinical trials, and research.Key themes:🔹Turning fragmented oncology data into real-time clinical insight🔹Reducing clinician burden and reclaiming “pajama time”🔹Embedding clinical trial matching into care delivery🔹Using AI to improve trial feasibility and patient access🔹Accelerating research through real-world evidenceThe conversation also explores a critical shift in enterprise AI:From driving adoption → to implementing governance.With rising demand from clinicians, AI governance strategy and implementation have become essential to ensure safe, scalable deployment. This episode offers a grounded, real-world perspective on what it takes to operationalize AI in complex, regulated environments.🎧 Listen now📖 Read the full article:
Transcribe →
PODCAST | AI Evaluation Without Direction Is a Waste: Truist AI and Data Architect
Apr 1500:12:24Tap to summarizeAI adoption isn’t just about building models — it’s about building confidence across the enterprise.In Part 3 of this four-part series, Truist’s Sanjay Sankolli joins NayaOne CEO Karan Jain to explore how organizations can move faster on AI without compromising governance or risk.This episode covers:🔷Why governance should act as a guardrail, not a bottleneck🔷How to focus AI efforts using value stream mapping🔷What “production-ready” AI really means in regulated environments🔷Why pre-mortems are critical for building enterprise confidence🔷How leading organizations are shifting toward evidence-based AI decisionsIf your organization is struggling to move from pilots to production, this conversation offers a clear, practical framework for scaling AI responsibly.
Transcribe →