Best Domino Data Labs Podcasts (2024)

1
Trust and faster AI time to value in manufacturing at IFF 42:08

1h ago42:08

42:08

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 managing risk. Done well, effective and responsible AI practices can be the secret to faster implementation, adoption, and performance at lower cost and risk. In this episode with Dr. Alex Manasson, Data Sc…

1
How to Make Responsible AI Happen: A Historical View 28:24

8d ago28:24

28:24

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 organizations more ethical? This episode comes to you from the RevX conference in London, where we asked these questions of Chris Wiggins, Chief Data Scientist at the New York Times. He is also Professor of Appli…

1
Efficient Data Pipelines for AI and a Healthier World 32:59

26d ago32:59

32:59

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 AI at scale. But how do you manage modern data pipelines for AI and how do you deal with fragmented ecosystems and spiraling costs? In this episode, brought to you from the RevX Philadelphia conference…

1
Enabling AI on Enormous Financial Datasets at FINRA 27:18

2M ago27:18

27:18

How do you enable AI, data science and analytics on petabyte-scale data, with extremely stringent privacy and security requirements? This episode comes to you from the RevX-New York conference where we had a fireside chat with Ivan Black - Director in charge of ML, AI, and analytics platforms at the US financial services regulator FINRA. Join us as…

1
Developing a Strategy for AI Transformation at Zendesk 37:42

2M ago37:42

37:42

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 to fundamentally re-engineer the organization’s core processes, to radically increase productivity, to overhaul the company’s tech stack, and to prepare it for a future of AI-driven competition. In thi…

1
Surviving and Thriving as an AI Leader in a GenAI World 43:42

3M ago43:42

43:42

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 Mike Gualtieri, VP and Principal Analyst at Forrester, and we unpack the opportunities, pitfalls, and best practices of the AI leader role. He shares the pivotal role of AI leaders in catalyzing org…

1
Unlocking the Disruptive Potential of Generative AI: A VC Perspective 28:49

3M ago28:49

28:49

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 GenAI trends than to ask a venture capitalist specializing in AI? In this episode, we speak with James Cham, partner at Bloomberg Beta, about the state of GenAI – where it is delivering value today – …

1
Overcoming the Data Challenges of AI-driven Drug Discovery 36:50

4M ago36:50

36:50

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 disease. Understanding and treating that disease is, in essence, a data problem. But how do you unlock that data and how do you change an organization to systematically use that data to improve decision-ma…

1
AI Will Plan Your Next Vacation: GenAI at Tripadvisor 30:12

4M ago30:12

30:12

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 Tripadvisor’s AI Trips. In this episode Rahul Todkar, VP Head of Data and AI, shares the secrets to building a trusted GenAI solution at internet scale and discusses the similarities and differences between da…

1
From the Archive: A Hybrid Approach to Accelerating the Model Lifecycle 23:35

5M ago23:35

23:35

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, there is CRISP-DM, the antediluvian “Cross-Industry Standard Process for Data Mining”, but you need to expand, modernize and adapt this framework for success at your organization. In this episode from the ar…

1
Unlocking AI in the Public Sector 30:59

5M ago30:59

30:59

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 Meyer – former head of strategy at the Department of Homeland Security (DHS) and the person who drove the creation of the DHS AI Task Force. Joel shares how they identified key areas where they could apply…

1
Disrupting Drug Discovery and Development With AI 38:13

5M ago38:13

38:13

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 Officer at FogPharma and serial entrepreneur at the intersection of ML and Biopharma, shares his insights on how AI is disrupting the traditional process of drug discovery and development. Join us as w…

1
Mastering the Rare Art of ML Deployment 35:36

6M ago35:36

35:36

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-running Machine Learning Week conference and creator of the first (and perhaps only) ML music video, tells us about his new book, The AI Playbook and the bizML framework for aligning stakeholders and maximi…

1
Shattering the Myths of GenAI: Interview with Forrester Analyst Rowan Curran 41:42

6M ago41:42

41:42

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 where myths and misconceptions abound as to how organizations should be designing, developing and operationalizing GenAI-based applications. In this episode with Rowan Curran, industry analyst at Forre…

1
More Human Than Human? GenAI Customer Service at Bolt 28:11

7M ago28:11

28:11

Imagine Generative AI handling tens of thousands of conversations with your customers daily. Science fiction? Not at Bolt where this has been in production since the summer of 2023. In this episode, Mikhail Korolev – head of the data science team at Bolt’s food delivery service – shares the challenges and hard earned best practices for operationali…

1
AI in 2024: Predictions on the Future of the AI Revolution 13:09

7M ago13:09

13:09

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 debris of projects that were set up for failure, a flowering of predictive AI, and the emergence of the scariest thing in AI to date (EU regulation). Tune in to this episode where Dr. Kjell Carlsson shares …

1
The State and Future of Generative AI: Reflections on the Anniversary of ChatGPT with Anaconda CEO Peter Wang 45:37

8M ago45:37

45:37

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 made, what impact is GenAI delivering, what are the real risks, and what developments are just around the corner? Join this session with the titan of the data science community, Anaconda CEO Peter Wang…

1
CDOs: Changing the Operating Model for Data & AI Transformation 38:56

8M ago38:56

38:56

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 expanding set of expectations from stakeholders in every part of the business. Here to help us understand the CDO role, its evolution, and the keys to success is Gary Barr, Global Chief Data Officer at…

1
Transforming Education with Generative AI and Active Learning 41:27

8M ago41:27

41:27

Most experts agree that AI isn’t about replacing human intelligence, but about improving it. When it comes to education, we should take this literally. In this episode we discuss how to use AI to transform how we learn with Stephen Kosslyn, President of Active Learning Sciences and Founder and Chief Academic Officer of Foundry College. Stephen brin…

1
“Lessons from the First GenAI Killer App" 45:37

9M ago45:37

45:37

How do you implement an enterprise-grade GenAI application that serves millions of users a day? By focusing your application and building the capabilities for operationalizing it at scale. Join our upcoming fireside chat with Domino's SVP of Product, Chris Lauren, who will share lessons learned while operationalizing the world’s first enterprise-gr…

1
Honeywell: Delivering on the Power of Outlier Detection 16:11

9M ago16:11

16:11

Every organization has an abundance of outlier detection use cases, but how do you turn them into repeatable, scalable AI products that drive a virtuous cycle of adoption and impact? To answer this question, Jan Zirnstein, Senior Data Science Director at Honeywell,. shares their best practices for successfully driving value using anomaly detection,…

1
Making Better Sustainability Decisions with AI 11:18

10M ago11:18

11:18

AI has enormous potential for good, not least in helping us make more ethical, sustainable decisions as investors and consumers. In this week’s episode Ron Potok, Head of Data Science at Clarity AI, explains how AI helps us overcome the challenges of collecting, normalizing and assessing Environmental, Social and Governance (ESG) data and making th…

1
Celebrity Guest Gregory Zuckerman: Trusting AI to Make the Decisions 12:09

10M ago12:09

12:09

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 at the Wall Street Journal and author of The New York Times bestseller of The Man Who Solved the Market -- to find out how the pioneers in algorithmic trading learned to stop worrying and trust their…

1
Solving the AI Talent Gap: Upskilling at Scale at Halliburton 45:14

11M ago45:14

45:14

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 skills, a disconnect between the technology and the business domain, and a lack of leadership experience with AI. Halliburton has been solving all three of these challenges with one of the earliest and larg…

1
The AI Innovator’s Dilemma: Insights from Harvard’s D^3 Institute 29:02

11M ago29:02

29:02

It’s been said: “When everything is important, nothing is important.” So how do you succeed with AI-driven transformation where everything – across people, process, and technology – is important? It requires leadership, a deliberate strategy, and ongoing organizational change. Here to share insight on these transformational challenges and best-prac…

1
Get the Most Out of Generative AI 1:18:28

12M ago1:18:28

1:18:28

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 to this shiny new technology, separating fact from fiction can become quite a challenge. Luckily, in this episode, Rowan Curran, Analyst at Forrester, joins the show to demystify the latest leaps in AI t…

1
Celebrity Guest Reid Blackman: Who’s Responsible for Responsible AI? 24:42

1y ago24:42

24:42

“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 “Ethical Machines” and founder CEO at Virtue Consultants – shares in this episode. He discusses the real ethical AI concerns — blackbox models, bias, hallucinations, privacy violations and more — and explains the…

1
Output to Outcomes: AI Product Management at Verizon 43:28

1y ago43:28

43:28

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 be the key to bridging the gap between business and technical teams, designing solutions to meet the business need, spurring ideas from experimentation to implementation, and driving continuous improve…

1
Celebrity Guest Steven Levy: AI, a mirror to human intelligence 22:24

1y ago22:24

22:24

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 scenes at Rev4 with Steven Levy, best selling author and Editor at Large at WIRED. Steven shares insights he’s built over the past four decades writing about AI and the people (like Marvin Minskey) and comp…

1
Season 2: Host to Host 44:44

1y ago44:44

44:44

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 analyst and new host of the podcast, Dr. Kjell Carlsson, interviews Dave Cole on all surprising things he’s learned in hosting the nearly 50 episodes of season 1. The two delve into various topics, such as h…

1
What It Takes to Productize Next-Gen AI on a Global Scale (Srujana Kaddevarmuth, Senior Director of Data & Machine Learning Programs, Walmar 41:15

2y ago41:15

41:15

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 is the Senior Director of Data & Machine Learning Programs at Walmart Global Tech. Her team drives data strategy and grapples with data science productization every day. With millions of employees, h…

1
Help Me Help You: Forging Productive Partnerships with Business Stakeholders (Sunil Kumar Vuppala, Director of Global Artificial Intelligenc 38:04

2+ y ago38:04

38:04

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 research can help advance business growth, customer experience, and product innovation. Sunil Kumar Vuppala is the Director of the Global Artificial Intelligence Accelerator at Ericsson. His career jou…

1
Change Management Strategies for Data & Analytics Transformations (Michal Levitzky Head of Data & Analytics - CDO, Migdal Group) 38:53

2+ y ago38:53

38:53

Large enterprises will always have some internal groups that are more change-averse than others. But progress often necessitates change, and how well you navigate the change management process can make or break your success as a leader. Michal Levitzky is the Head of Data & Analytics (CDO) at Migdal Group, a leading insurance and finance company in…

1
A Hybrid Approach to Accelerating the Model Lifecycle (David Von Dollen, Head of AI, Volkswagen of America) 23:23

2+ y ago23:23

23:23

Without a clearly defined methodology, complex projects with multiple technical and business stakeholders often fall apart. The risk is especially high when trying to scale data science work in an enterprise organization. That’s why David Von Dollen, Head of AI at Volkswagen of America, integrated agile methodology with CRISP-DM to help his team na…

1
Giving Back and Building Your Brand as a Data Science Leader (Sidney Madison Prescott, Global Head of Intelligent Automation - RPA, AI, ML, 31:49

2+ y ago31:49

31:49

Even with the recent rise of specialized data science degree programs, top-notch data science talent can come from anywhere. Those in leadership positions have a duty to share their knowledge and support aspiring data scientists, regardless of the unique path that brought them to the field. Sidney Madison Prescott, Global Head of Intelligent Automa…

1
Governing Models and Structuring Teams in Highly Regulated Industries (Anju Gupta, VP Data Science & Analytics, Northwestern Mutual) 30:11

2+ y ago30:11

30:11

Model governance is vital, especially in heavily regulated industries like insurance. Strong governance can help ensure that key models are reproducible, explainable, and auditable—all important factors for both internal model development workflows and for external regulatory compliance. But the best governance strategy isn’t always obvious. Anju G…

1
How to Operationalize, Scale, and Measure AI in Life Sciences (Sidd Bhattacharya, Director of Healthcare Analytics & AI, PwC) 36:19

2+ y ago36:19

36:19

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 world of life sciences presents some unique challenges—and opportunities—for data science. In this episode, Sidd Bhattacharya, Director of Healthcare Analytics & AI at PwC, dives deep into these dyn…

1
Getting to Ground Truth with Strategies from ML in Electronics Manufacturing (Alon Malki, Senior Director of Data Science, NI) 26:30

2+ y ago26:30

26:30

Many people assume that once you establish a manufacturing line, the hard work is done and things remain relatively static. The reality, especially in electronics manufacturing, is entirely different. Constantly changing data streams and endlessly dynamic variables present some unique challenges for data scientists in the field. But there are lesso…

1
Elevating Your Team as Strategic Business Partners (Indy Mondal, Senior Director of Data Science, AI & Product Insights, DocuSign) 38:39

2+ y ago38:39

38:39

When your data science team is consistently more reactive than proactive in addressing business challenges, it can be difficult to be seen as strategic partners. But by prioritizing building business domain expertise and always asking about the “why” behind any request, you’ll start to build a rapport and change the nature of the relationship. In t…

1
A Journey Through the Data Science & Analytics Value Chain (Nancy Hersh, Chief Data Officer, Arcadia) 32:51

2+ y ago32:51

32:51

To create sustainable business value, data scientists need to navigate all the elements of what this episode’s guest has dubbed “the data science and analytics value chain.” So what are those elements? And how can you ensure you hire and develop the team that delivers on each one with every single data science project? Nancy Hersh, Chief Data Offic…

1
Decoding Human Behavior and Well-Being through Data Science (Takuya Kitagawa, Chief Data Officer & Managing Executive Officer, Rakuten Group 39:42

2+ y ago39:42

39:42

The coding, models, and experiments inherent in data science work may have more to do with understanding human well-being than you think. Machine learning and AI can be applied in ways big and small to further our understanding of human behavior—and influence our well-being. Takuya Kitagawa, Chief Data Officer & Managing Executive Officer at Rakute…

1
Motivating Teams and Combating Bias in Healthcare Data Science (Vikram Bandugula, Senior Director of Data Science, Anthem) 30:45

2+ y ago30:45

30:45

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 models, real people can bear the brunt of potentially life-altering negative consequences. Vikram Bandugula, Senior Director of Data Science at Anthem, knows this issue intimately from his extensive expe…

1
Data in the DNA: Breaking Down the Autonomous Enterprise (Janet George, Enterprise AI Leader & Author) 27:13

2+ y ago27:13

27:13

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? If you’re like most, the answer is probably no. How can you future-proof your organization and take steps toward an autonomous enterprise? Janet George is an enterprise AI leader and author with exper…

1
Embedding Responsible AI in Your Models and Your Team (Anand Rao, Global Artificial Intelligence Lead, PwC) 44:27

2+ y ago44:27

44:27

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 significant societal impact, it’s vital that data scientists are aware of the broader context in which they may be applied. In this episode, Anand Rao, Global Artificial Intelligence Lead at PwC, breaks…

1
Supply Chain Solutions & the Role of the ML Engineer (Karin Chu, VP Data Science & Digital Analytics, Peapod Digital Labs) 38:05

2+ y ago38:05

38:05

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 what happened in the past simply don’t work in a radically different present. In this episode, Karin Chu, VP Data Science and Digital Analytics at Peapod Digital Labs, discusses how her team is tackl…

1
Legal Analytics: Winning Business, Winning Cases, and Winning Over Your General Counsel (Peter Geovanes, Head of Data Strategy, AI & Analyti 30:07

2+ y ago30:07

30:07

Legal work may not be an obvious application of data science to many advanced analytics leaders. But that should change. In this episode, Peter Geovanes, Head of Data Strategy, AI & Analytics at Winston & Strawn, breaks down the nuts and bolts of legal analytics and how it’s revolutionizing the way law firms win new business—and cases. Plus, he sha…

1
Empowering Big Teams to Take on Even Bigger ML Challenges (Jan Neumann, Executive Director, Machine Learning, Comcast) 30:21

2+ y ago30:21

30:21

Managing a large enterprise team of data scientists can be a complicated undertaking. There are so many opportunities, big and small, to serve the business with AI and machine learning. How do you ensure your teams are focused on the big picture without getting bogged down in the minutiae of the day to day? Jan Neumann, Executive Director, Machine …

1
Change Management: Winning Over AI Skeptics in Banking & Beyond (Chun Schiros, SVP, Head of Enterprise Data Science Group, Regions Bank) 18:04

2+ y ago18:04

18:04

As compute capability continues to expand, the banking industry is turning more and more to data science to enable better customer experiences. Use cases have proliferated, from product recommendation engines to predictive customer retention alerts. These innovations can drive real business value, but managing the rollout of process and technology …

1
To Patent or Not to Patent? How to Weigh the Options for Your Team (Kli Pappas, Associate Director of Global Analytics, Colgate-Palmolive) 36:51

2+ y ago36:51

36:51

Should your team patent its data science work? With open source such an important part of the data science community, patents almost seem antithetical to the ethos of the field itself. But it turns out, there are some very good reasons to pursue data science patents in business. In this episode, Kli Pappas, Associate Director of Global Analytics at…

1
How a Centralized Data Science “Nerve Center” Can Power Global Impact (Tim Suhling, VP Global Business Intelligence, Ingram Micro) 37:10

2+ y ago37:10

37:10

There are many ways to structure a data science function in a global enterprise. But what’s been the winning strategy for global technology distributor Ingram Micro? Creating a data science “nerve center.” Centralizing data science talent has helped elevate analytics at Ingram Micro to better solve complex business problems using machine learning a…

Podcasts Worth a Listen

Domino Data Labs Podcasts

Podcasts Worth a Listen

Quick Reference Guide