Data Science Leaders

Turning Governance Into the “Yes” Guys

01 Apr 2026

Contributed by Lukas

When Cindy Tu first stepped onto a conference stage, it wasn’t part of a long-term plan. It was a turning point. A single speaking invitation shifte...

Building Trust for Transformation in Enterprise AI

19 Feb 2026

Contributed by Lukas

When Shub Agarwal joined an early conversational AI startup, he was building products in uncharted territory with emerging technology few had heard of...

Engineering the Future of Health with AI and Data

18 Jun 2025

Contributed by Lukas

Daniel Kraft, physician-scientist and founder of NextMed Health, joins Domino’s Chris McSpiritt to discuss how AI, data convergence, and systems thi...

The Rise of the Self-Driving Organization

16 Apr 2025

Contributed by Lukas

As organizations race to become AI-driven, data has emerged not just as a resource, but as a strategic advantage. In this episode, Kjell Carlsson sits...

The Cultural Shifts That Power AI Adoption

02 Apr 2025

Contributed by Lukas

AI strategy isn't just about technology. It's about transformation.In this episode, CDAO expert, Dr. Shahram Ebadollahi, joins to discuss what it take...

The AI Race: Predictions for AI in National Security & the Public Sector

19 Mar 2025

Contributed by Lukas

What does the global race for AI look like? How has the US Department of Defense been adopting AI by engaging the private sector? And how should we ex...

The Future of Enterprise AI? AI in Production!

05 Mar 2025

Contributed by Lukas

What does the near term future of Enterprise AI look like? A scramble to get valuable, cost-effective, enterprise-grade AI solutions into production, ...

The Silent Future of AI in Financial Services

19 Feb 2025

Contributed by Lukas

AI is transforming financial services and insurance, but rarely in the headline-grabbing ways you might expect. From intelligent process automation to...

Pharma Is the New Tech: The Future of AI in Life Sciences

05 Feb 2025

Contributed by Lukas

AI is transforming drug discovery and clinical trials, making what was once cutting-edge the new standard. Pharma companies are evolving into tech com...

AI Predictions for 2025: The Boogeyman, Agentic AI & Governance

22 Jan 2025

Contributed by Lukas

What’s next for artificial intelligence in 2025? In this episode, Dr. Kjell Carlsson delivers his annual predictions about the immediate future of A...

Realizing AI Value Through Governance in Insurance

08 Jan 2025

Contributed by Lukas

Innovation and AI governance aren’t at odds. Done properly, governance practices can be the key to accelerating implementation of even the latest Ge...

Mastering AI Governance with Forrester & the Federal Reserve

25 Dec 2024

Contributed by Lukas

How can organizations drive transformative AI innovation while effectively managing its inherent risks? Is governance a bottleneck or can it become a ...

Crossover: Ethical Machines and AI Governance

12 Dec 2024

Contributed by Lukas

This episode is a collaboration with the Ethical Machines podcast featuring Reid Blackman — CEO of the AI ethical risk consultancy Virtue — and Ni...

AI Transformation in Government: Lessons from Unit X

27 Nov 2024

Contributed by Lukas

Think you have a hard time driving AI adoption in your organization? Try driving AI transformation in the largest, most regulated organization on the ...

The EU AI Act: Key Strategies for Regulatory Compliance

13 Nov 2024

Contributed by Lukas

The EU AI Act, is it the first step towards comprehensive AI regulation that will make us all safer, or is it the scariest thing in AI today, or both?...

AI Governance in Action: Lessons from the Trenches

25 Oct 2024

Contributed by Lukas

AI governance is no longer a hypothetical consideration—it's critical not only to meet regulatory requirements but also to build trust, drive adopti...

Demystifying the Top 5 Questions of AI Governance

03 Oct 2024

Contributed by Lukas

AI governance is more important than ever, but confusion reigns about basic questions such as: what it is, why it is important and what we should do a...

Operationalizing privacy in the age of AI

18 Sep 2024

Contributed by Lukas

Data privacy - why is it so important in the age of AI, why is it so difficult, and what should we be doing to improve it in our organizations?In this...

Optimizing Your Architecture for AI Innovation: BARC Survey Results

04 Sep 2024

Contributed by Lukas

What capabilities do you need to take advantage of AI and what changes will you need to make to your IT architecture? Well, let’s look at the data.I...

Driving Digital Strategy with AI at OneAmerica

21 Aug 2024

Contributed by Lukas

How do you drive digital strategy and transformation with AI? Do you need an AI strategy or a business strategy that intelligently leverages AI?In thi...

AI-driven Marketing, Optimization, Consciousness and CAIOs

07 Aug 2024

Contributed by Lukas

AI is disrupting marketing, but the biggest threat isn’t AI systems misbehaving, it is the unintended consequences of AI systems performing exactly ...

Trust and faster AI time to value in manufacturing at IFF

24 Jul 2024

Contributed by Lukas

How do you deliver impact with AI and ML and cut development time by weeks and even months? By understanding your customer, building trust, and manag...

How to Make Responsible AI Happen: A Historical View

05 Jul 2024

Contributed by Lukas

How do you deliver value with responsible AI, who is responsible for it, how do you put it into practice, and could we use AI to make our organization...

Efficient Data Pipelines for AI and a Healthier World

19 Jun 2024

Contributed by Lukas

AI is not all about the data, however, your ability to develop and deploy efficient data pipelines is absolutely critical for unlocking the power of A...

Enabling AI on Enormous Financial Datasets at FINRA

31 May 2024

Contributed by Lukas

How do you enable AI, data science and analytics on petabyte-scale data, with extremely stringent privacy and security requirements?This episode comes...

Developing a Strategy for AI Transformation at Zendesk

16 May 2024

Contributed by Lukas

How do you craft and implement a strategy to transform an organization with AI? Not just to build a growing portfolio of successful AI projects, but t...

Surviving and Thriving as an AI Leader in a GenAI World

02 May 2024

Contributed by Lukas

AI leaders. Why do we need them? How do you become one? And above all, how do you keep your job as one?In this episode, we are joined by guest speaker...

Unlocking the Disruptive Potential of Generative AI: A VC Perspective

10 Apr 2024

Contributed by Lukas

GenAI is evolving at a breakneck pace, matched only by the startups that are looking to commercialize it. So what better way to understand the latest ...

Overcoming the Data Challenges of AI-driven Drug Discovery

27 Mar 2024

Contributed by Lukas

A human being consists of billions of cells, each with the same genetic code but interacting in a myriad ways that can eventually translate into disea...

AI Will Plan Your Next Vacation: GenAI at Tripadvisor

13 Mar 2024

Contributed by Lukas

Trip planning may well be the perfect AI use case. Too much information, too many combinations, and too little time —for humans, but not for Tripadv...

From the Archive: A Hybrid Approach to Accelerating the Model Lifecycle

28 Feb 2024

Contributed by Lukas

Wouldn’t it be great if there was a commonly agreed-upon framework for executing all AI projects successfully? Well, there isn’t one. However, the...

Unlocking AI in the Public Sector

19 Feb 2024

Contributed by Lukas

What’s just as important as the government keeping us safe from AI? Government leveraging AI to keep us safe!In this episode, we interview Joel Meye...

Disrupting Drug Discovery and Development With AI

14 Feb 2024

Contributed by Lukas

There is no such thing as an AI drug, but AI and ML-models are driving the next wave of new treatments. In this episode, Brandon Allgood, Chief Data O...

Mastering the Rare Art of ML Deployment

31 Jan 2024

Contributed by Lukas

What’s the biggest problem in AI today? It’s that far too few projects make it to deployment. In this episode, Eric Siegel, founder of the long-ru...

Shattering the Myths of GenAI: Interview with Forrester Analyst Rowan Curran

20 Jan 2024

Contributed by Lukas

The biggest challenges to driving impact with AI have little to do with AI and everything to do with humans. Nowhere is this greater than with GenAI w...

More Human Than Human? GenAI Customer Service at Bolt

03 Jan 2024

Contributed by Lukas

Imagine Generative AI handling tens of thousands of conversations with your customers daily. Science fiction? Not at Bolt where this has been in produ...

AI in 2024: Predictions on the Future of the AI Revolution

20 Dec 2023

Contributed by Lukas

2023 has been an exciting year for AI, but it’s nothing in comparison to what we will see in 2024! Expect to see sensational successes amid the debr...

The State and Future of Generative AI: Reflections on the Anniversary of ChatGPT with Anaconda CEO Peter Wang

06 Dec 2023

Contributed by Lukas

ChatGPT wasn’t the beginning of generative AI, but it did spark the GenAI revolution. Now, one year since it was launched, how much progress have we...

CDOs: Changing the Operating Model for Data & AI Transformation

22 Nov 2023

Contributed by Lukas

How do you achieve success as a Chief Data Officer? It is a role that is more important, yet more challenging, than it has ever been, with a rapidly e...

Transforming Education with Generative AI and Active Learning

08 Nov 2023

Contributed by Lukas

Most experts agree that AI isn’t about replacing human intelligence, but about improving it. When it comes to education, we should take this literal...

“Lessons from the First GenAI Killer App"

25 Oct 2023

Contributed by Lukas

How do you implement an enterprise-grade GenAI application that serves millions of users a day? By focusing your application and building the capabili...

Honeywell: Delivering on the Power of Outlier Detection

12 Oct 2023

Contributed by Lukas

Every organization has an abundance of outlier detection use cases, but how do you turn them into repeatable, scalable AI products that drive a virtuo...

Making Better Sustainability Decisions with AI

27 Sep 2023

Contributed by Lukas

AI has enormous potential for good, not least in helping us make more ethical, sustainable decisions as investors and consumers. In this week’s epis...

Celebrity Guest Gregory Zuckerman: Trusting AI to Make the Decisions

13 Sep 2023

Contributed by Lukas

How do you trust black-box AI models with decisions that will make-or-break your business?This week we speak with Gregory Zuckerman -- special writer ...

Solving the AI Talent Gap: Upskilling at Scale at Halliburton

30 Aug 2023

Contributed by Lukas

Who doesn’t have a data science talent gap? Anyone? Most organizations struggle to realize their AI ambitions because of a lack of data science skil...

The AI Innovator’s Dilemma: Insights from Harvard’s D^3 Institute

16 Aug 2023

Contributed by Lukas

It’s been said: “When everything is important, nothing is important.” So how do you succeed with AI-driven transformation where everything – a...

Get the Most Out of Generative AI

02 Aug 2023

Contributed by Lukas

Generative AI is here and, unless you’ve been cloistered in a cave, you already know it’s making waves in nearly every industry. But when it comes...

Celebrity Guest Reid Blackman: Who’s Responsible for Responsible AI?

19 Jul 2023

Contributed by Lukas

“It is on the shoulders of leaders that they build and maintain an ethical AI risk program.” That’s the message Reid Blackman – author of “E...

Output to Outcomes: AI Product Management at Verizon

05 Jul 2023

Contributed by Lukas

When it comes to driving business impact with AI, there are no silver bullets, but data science product management comes pretty close. It could well b...

Celebrity Guest Steven Levy: AI, a mirror to human intelligence

21 Jun 2023

Contributed by Lukas

What’s different about the AI wave today versus the 1980s and what do the latest advances reveal about our human intelligence? We’re behind the sc...

Season 2: Host to Host

07 Jun 2023

Contributed by Lukas

Who’s the best person to share the secrets of Data Science leaders? Try someone who has spent the last year interviewing them! Former industry analy...

What It Takes to Productize Next-Gen AI on a Global Scale (Srujana Kaddevarmuth, Senior Director of Data & Machine Learning Programs, Walmar

31 May 2022

Contributed by Lukas

What does it take to turn the latest advances in AI into products that deliver business impact at Walmart levels of global scale?Srujana Kaddevarmuth ...

Help Me Help You: Forging Productive Partnerships with Business Stakeholders (Sunil Kumar Vuppala, Director of Global Artificial Intelligenc

12 Apr 2022

Contributed by Lukas

There’s tremendous value in pure data science research. In an enterprise context, however, it all comes down to how learnings and insights from that...

Change Management Strategies for Data & Analytics Transformations (Michal Levitzky Head of Data & Analytics - CDO, Migdal Group)

05 Apr 2022

Contributed by Lukas

Large enterprises will always have some internal groups that are more change-averse than others. But progress often necessitates change, and how well ...

A Hybrid Approach to Accelerating the Model Lifecycle (David Von Dollen, Head of AI, Volkswagen of America)

29 Mar 2022

Contributed by Lukas

Without a clearly defined methodology, complex projects with multiple technical and business stakeholders often fall apart. The risk is especially hig...

Giving Back and Building Your Brand as a Data Science Leader (Sidney Madison Prescott, Global Head of Intelligent Automation - RPA, AI, ML,

22 Mar 2022

Contributed by Lukas

Even with the recent rise of specialized data science degree programs, top-notch data science talent can come from anywhere. Those in leadership posi...

Governing Models and Structuring Teams in Highly Regulated Industries (Anju Gupta, VP Data Science & Analytics, Northwestern Mutual)

15 Mar 2022

Contributed by Lukas

Model governance is vital, especially in heavily regulated industries like insurance.Strong governance can help ensure that key models are reproducibl...

How to Operationalize, Scale, and Measure AI in Life Sciences (Sidd Bhattacharya, Director of Healthcare Analytics & AI, PwC)

08 Mar 2022

Contributed by Lukas

In every industry, people consume data. They work to understand what it can tell them in order to make smarter decisions.But the nature of data in the...

Getting to Ground Truth with Strategies from ML in Electronics Manufacturing (Alon Malki, Senior Director of Data Science, NI)

01 Mar 2022

Contributed by Lukas

Many people assume that once you establish a manufacturing line, the hard work is done and things remain relatively static. The reality, especially in...

Elevating Your Team as Strategic Business Partners (Indy Mondal, Senior Director of Data Science, AI & Product Insights, DocuSign)

22 Feb 2022

Contributed by Lukas

When your data science team is consistently more reactive than proactive in addressing business challenges, it can be difficult to be seen as strategi...

A Journey Through the Data Science & Analytics Value Chain (Nancy Hersh, Chief Data Officer, Arcadia)

15 Feb 2022

Contributed by Lukas

To create sustainable business value, data scientists need to navigate all the elements of what this episode’s guest has dubbed “the data science ...

Decoding Human Behavior and Well-Being through Data Science (Takuya Kitagawa, Chief Data Officer & Managing Executive Officer, Rakuten Group

08 Feb 2022

Contributed by Lukas

The coding, models, and experiments inherent in data science work may have more to do with understanding human well-being than you think.Machine learn...

Motivating Teams and Combating Bias in Healthcare Data Science (Vikram Bandugula, Senior Director of Data Science, Anthem)

01 Feb 2022

Contributed by Lukas

Bias is an ever-present enemy of sound data science in healthcare.Without proactive measures to mitigate bias in the data used to build and train mode...

Data in the DNA: Breaking Down the Autonomous Enterprise (Janet George, Enterprise AI Leader & Author)

25 Jan 2022

Contributed by Lukas

Is your team mining all available data to inform your business strategy and grow revenue? Is your company prepared to compete against others who are?I...

Embedding Responsible AI in Your Models and Your Team (Anand Rao, Global Artificial Intelligence Lead, PwC)

18 Jan 2022

Contributed by Lukas

Who uses the models that we create and how do they use them? Those key questions underpin the notion of responsible AI. Since algorithms can have a s...

Supply Chain Solutions & the Role of the ML Engineer (Karin Chu, VP Data Science & Digital Analytics, Peapod Digital Labs)

11 Jan 2022

Contributed by Lukas

When highly disruptive events like the COVID-19 pandemic occur, data science teams may have to throw historical data out the window. Models trained on...

Legal Analytics: Winning Business, Winning Cases, and Winning Over Your General Counsel (Peter Geovanes, Head of Data Strategy, AI & Analyti

04 Jan 2022

Contributed by Lukas

Legal work may not be an obvious application of data science to many advanced analytics leaders. But that should change.In this episode, Peter Geovane...

Empowering Big Teams to Take on Even Bigger ML Challenges (Jan Neumann, Executive Director, Machine Learning, Comcast)

14 Dec 2021

Contributed by Lukas

Managing a large enterprise team of data scientists can be a complicated undertaking. There are so many opportunities, big and small, to serve the bus...

Change Management: Winning Over AI Skeptics in Banking & Beyond (Chun Schiros, SVP, Head of Enterprise Data Science Group, Regions Bank)

07 Dec 2021

Contributed by Lukas

As compute capability continues to expand, the banking industry is turning more and more to data science to enable better customer experiences.Use cas...

To Patent or Not to Patent? How to Weigh the Options for Your Team (Kli Pappas, Associate Director of Global Analytics, Colgate-Palmolive)

30 Nov 2021

Contributed by Lukas

Should your team patent its data science work? With open source such an important part of the data science community, patents almost seem antithetical...

How a Centralized Data Science “Nerve Center” Can Power Global Impact (Tim Suhling, VP Global Business Intelligence, Ingram Micro)

16 Nov 2021

Contributed by Lukas

There are many ways to structure a data science function in a global enterprise. But what’s been the winning strategy for global technology distribu...

Scaling Data Science Value with Cross-Functional Teams (Jayesh Govindarajan, SVP Data Science & Engineering, Salesforce)

09 Nov 2021

Contributed by Lukas

To embed models into SaaS platforms at scale, it pays to have a cross-functional team—software engineers, UX designers, data scientists, machine lea...

Modernizing Healthcare Through Data Science and Digital Transformation (Kaushik Raha, VP Data Science & Health Content Operations, Elsevier)

02 Nov 2021

Contributed by Lukas

In healthcare, only 14% of scientific discoveries actually make it into clinical practice. But data science, in lockstep with the digital transformati...

How Data Science Teams Are Going Deeper with Proof of Value (Nimit Jain, Head of Data Science, Novartis)

26 Oct 2021

Contributed by Lukas

As business leaders become more educated on the value that machine learning can deliver, the demands on data science teams only become greater. Busine...

Why It Pays to Stand Out From the Crowd in Data Science (Bob Bress, Head of Data Science, FreeWheel)

19 Oct 2021

Contributed by Lukas

Talent is pouring into data science, even though it always seems like there’s not enough to meet demand. Learning opportunities for people getting i...

Tracking Business Value with Data Science Portfolio Management (Katya Hall, Director of Enterprise Analytics, McKesson)

12 Oct 2021

Contributed by Lukas

You may not have a formal “portfolio management” function within your data science team, but in all likelihood, you’re executing some of its key...

How to Launch a Data Science Team Built for Scale (Mike Foley, Senior Director of Data Science, Hitachi Vantara)

05 Oct 2021

Contributed by Lukas

Mike Foley has been building data science teams from scratch since before they were called “data science” teams. His perspective on questions like...

Exploring the Future of Data: Regulations & Managing Analytics Teams (John Thompson, Global Head of Advanced Analytics & AI, CSL Behring)

28 Sep 2021

Contributed by Lukas

Between GDPR, CCPA, and more regulatory frameworks on the horizon, the landscape of personal data—and how it can be used in business—is shifting.O...

Data Challenges and the Promising Role of Product Analytics in Healthcare

21 Sep 2021

Contributed by Lukas

In a perfect world, healthcare data would always be strategically organized, up-to-date, and easily accessible—all in a patient-centered, privacy-fi...

People Analytics: Data Science, Ethics, and Opportunity in HR (Adam McElhinney, Chief Data Science Officer, VP of Data Insights, Paylocity)

14 Sep 2021

Contributed by Lukas

People analytics—the application of data science and analytics in the world of HR—can provide valuable insights into recruitment, retention, and p...

Lessons from Building a 2,700-Person Analytics Team (Dave Frankenfield, VP Enterprise Data & Analytics, Optum)

07 Sep 2021

Contributed by Lukas

Dave Frankenfield , VP Enterprise Data and Analytics at Optum , oversees a team of 2,700 data professionals. How do you structure a team of that size?...

Oncology Analytics & Delivering Insights from Messy Data (Susan Hoang, VP Oncology Analytics, McKesson)

24 Aug 2021

Contributed by Lukas

Data plays a vital role in cancer treatment. In oncology analytics, data analytics can help identify promising treatment strategies, offer better acce...

How Computer Science & Statistics Fundamentals Can Advance Data Science in 2021 (Chris Volinsky, AVP Data Science & AI Research, AT&T)

17 Aug 2021

Contributed by Lukas

Computer scientists can be fearless, pushing the limits of computational power and the scale of data we can analyze. On the flipside, statisticians ca...

Getting Started with Deep Learning in the Enterprise (Eitan Anzenberg, Chief Data Scientist, Bill.com)

10 Aug 2021

Contributed by Lukas

Forward-thinking companies are already embedding machine learning into their business processes—and seeing the payoff of model-driven decisioning. B...

Communication in Data Science: Know the Data & Know the Business (Gaia Bellone, SVP - Head of Data Science at KeyBank)

03 Aug 2021

Contributed by Lukas

As a data scientist, you must be able to explain complex ideas in simple ways. Knowing your data, knowing the business, and presenting the data clearl...

The Right and Wrong Place for the Citizen Data Scientist (Romain Ramora, Head of Data Science & Innovation - Supply Chain at Cisco)

27 Jul 2021

Contributed by Lukas

Data science jobs outnumber data scientists by three to one. The industry is looking for ways to close that gap, including turning to the concept of t...

What Happens When You Bring Data Science and Data Engineering Under One Roof (Mark Teflian, VP, Data Science & Data Engineering, Charter Com

20 Jul 2021

Contributed by Lukas

It’s a common refrain among enterprise data science professionals: 70-80% of their time is spent on data wrangling and pipeline building. But what h...

How to Answer the #1 Question in Enterprise Data Science: “So What?” (Khatereh Khodavirdi, Global Head of Analytics & Data Science - Global

13 Jul 2021

Contributed by Lukas

In data science, experimentation is everything. But as a leader, how can you balance experimental work that may never pay off with delivering measurab...

The Past, Present, and Fascinating Future of Data Science (Mike Tamir, Chief ML Scientist and Head of Machine Learning/AI, SIG)

06 Jul 2021

Contributed by Lukas

The title of “Data Scientist” leapt into prominence in 2012 when the Harvard Business Review named it the “sexiest job of the 21st century.” A...

Industry 4.0: Data Science in Manufacturing (Paul Turner, VP Industry 4.0 Applications & Analytics, Stanley Black & Decker)

29 Jun 2021

Contributed by Lukas

We’re in the middle of the fourth industrial revolution. Industry 4.0 encompasses the use of advanced automation and analytics in manufacturing. So ...

The 3 Biggest Jobs of Any Chief Data Officer (Heidi Lanford, Chief Data Officer, Fitch Group)

22 Jun 2021

Contributed by Lukas

As more organizations recognize the power of data to transform their decision making (or for it to become a product in its own right), the role of the...

Navigating Data Constraints in the Highly-Regulated Healthcare Industry (Derrick Higgins, Head of Enterprise Data Science & AI, Blue Cross a

15 Jun 2021

Contributed by Lukas

Data scientists in the healthcare industry face some especially tough challenges. Not only do they have to contend with complex regulatory landscapes ...

Bioinformatics and the Unprecedented COVID-19 Vaccine Race (Fiona Hyland, Director of R&D, Informatics, Thermo Fisher Scientific)

08 Jun 2021

Contributed by Lukas

The field of bioinformatics plays a critical role in medical breakthroughs like the COVID-19 vaccine.Fiona Hyland , Director of R&D, DNA Sequencing In...

Bridging the Gap Between Data Science and Business Outcomes

01 Jun 2021

Contributed by Lukas

The best data scientists are continually learning something new, taking on unfamiliar projects, and keeping their skills fresh. The best leaders in th...

Challenges and Opportunities in Operationalizing Data Science

25 May 2021

Contributed by Lukas

Data science operationalization is a simple enough concept.But in practice it can be a complicated and often overwhelming challenge.In this episode, D...

How to Be a Truth-Seeking, Truth-Telling Partner in Data Science

18 May 2021

Contributed by Lukas

Data science teams are responsible for delivering impactful models, of course. But they’re also responsible for translating that impact (and all the...

How to Use AI Reliability to Identify and Predict Model Decay

11 May 2021

Contributed by Lukas

What if we could predict how long our models will last in the field?Is there a mathematical way to estimate mean time to failure for a specific model?...

More than Models: Building a Culture of Data Literacy and Data Ethics

21 Apr 2021

Contributed by Lukas

Algorithms can have an outsized impact on society. That’s why many data science leaders have focused a lot of effort recently on defining data liter...

An Introduction to Data Science Leaders, a Podcast for Daring Data Science Teams

21 Apr 2021

Contributed by Lukas

This is Data Science Leaders from Domino Data Lab, with me, Kjell Carlsson. On this show, you’ll have a front-row seat to conversations featuring wo...