Data Science Leaders
48 episodes - English - Latest episode: about 2 years ago - ★★★★★ - 82 ratingsData science is booming, but scaling it in the enterprise is hard. The playbook is still being written.
Data Science Leaders is a podcast for data science teams that are pushing the limits of what machine learning models can do at the world’s most impactful companies.
Each episode features an interview with a leader in data science. We’ll discuss how to build and enable data science teams, create scalable processes, collaborate cross-functionally, communicate with business stakeholders, and more.
Our conversations will be full of real stories, breakthrough strategies, and critical insights—all data points to build your own model of enterprise data science success.
Data Science Leaders is hosted by Dave Cole.
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Episodes
What It Takes to Productize Next-Gen AI on a Global Scale (Srujana Kaddevarmuth, Senior Director of Data & Machine Learning Programs, Walmart Global Tech)
May 31, 2022 09:00 - 41 minutes - 56.7 MBWhat 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, hundreds of millions of customers, and petabytes of data at any given moment, Walmart offers some unique lessons in the complexities of building t...
Help Me Help You: Forging Productive Partnerships with Business Stakeholders (Sunil Kumar Vuppala, Director of Global Artificial Intelligence Accelerator, Ericsson)
April 12, 2022 09:00 - 38 minutes - 34.8 MBThere’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 journey from a researcher role to data science leadership has given him years of perspective on how ML professionals and their business side counter...
Change Management Strategies for Data & Analytics Transformations (Michal Levitzky Head of Data & Analytics - CDO, Migdal Group)
April 05, 2022 09:00 - 38 minutes - 35.6 MBLarge 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 Israel. Michal has spearheaded the introduction of data and analytics functions at multiple organizations, and she knows a thing or two about ne...
A Hybrid Approach to Accelerating the Model Lifecycle (David Von Dollen, Head of AI, Volkswagen of America)
March 29, 2022 09:00 - 23 minutes - 17.5 MBWithout 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 navigate roadblocks and accelerate progress on the path to model deployment. He shares how this hybrid approach enables his team to be more strate...
Giving Back and Building Your Brand as a Data Science Leader (Sidney Madison Prescott, Global Head of Intelligent Automation - RPA, AI, ML, Spotify)
March 22, 2022 08:00 - 31 minutes - 51.6 MBEven 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 Automation (RPA, AI, ML) at Spotify, has made a habit of sharing her expertise and giving back. And in the process, she’s built a personal brand tha...
Governing Models and Structuring Teams in Highly Regulated Industries (Anju Gupta, VP Data Science & Analytics, Northwestern Mutual)
March 15, 2022 08:30 - 30 minutes - 27.6 MBModel 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 Gupta, VP Data Science & Analytics at Northwestern Mutual, is a big believer in establishing model governance practices early, and she shares her...
How to Operationalize, Scale, and Measure AI in Life Sciences (Sidd Bhattacharya, Director of Healthcare Analytics & AI, PwC)
March 08, 2022 10:00 - 36 minutes - 54.7 MBIn 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 dynamics and shares his perspective on how leaders can operationalize AI at life sciences companies. Plus, we talk about the role data science has...
Getting to Ground Truth with Strategies from ML in Electronics Manufacturing (Alon Malki, Senior Director of Data Science, NI)
March 01, 2022 10:00 - 26 minutes - 24.3 MBMany 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 lessons on data sharing, model adoption, and real-time impact that ML professionals in any field can learn from. In this episode, Alon Malki, Senior ...
Elevating Your Team as Strategic Business Partners (Indy Mondal, Senior Director of Data Science, AI & Product Insights, DocuSign)
February 22, 2022 10:00 - 38 minutes - 35.4 MBWhen 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 this episode, Indy Mondal, Senior Director of Data Science, AI & Product Insights at DocuSign, explains how to create strong business partnership...
A Journey Through the Data Science & Analytics Value Chain (Nancy Hersh, Chief Data Officer, Arcadia)
February 15, 2022 09:00 - 32 minutes - 30.1 MBTo 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 Officer at Arcadia, joins the show to break it all down. We discuss: Five elements of the data science and analytics value chain How an apprentice...
Decoding Human Behavior and Well-Being through Data Science (Takuya Kitagawa, Chief Data Officer & Managing Executive Officer, Rakuten Group)
February 08, 2022 09:00 - 39 minutes - 35.5 MBThe 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 Rakuten Group, believes there must be a shift toward focusing on well-being when it comes to how brands relate to customers. He joins the show to shar...
Motivating Teams and Combating Bias in Healthcare Data Science (Vikram Bandugula, Senior Director of Data Science, Anthem)
February 01, 2022 09:00 - 30 minutes - 28.1 MBBias 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 experience in healthcare. He joins the show to share his perspective on bias, plus he details his approach to fostering employee motivation and posi...
Data in the DNA: Breaking Down the Autonomous Enterprise (Janet George, Enterprise AI Leader & Author)
January 25, 2022 09:00 - 27 minutes - 24.9 MBIs 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 experience across companies including Oracle, Apple, Accenture, Yahoo!, eBay, and more. She joins the show to discuss the meaning of autonomous ente...
Embedding Responsible AI in Your Models and Your Team (Anand Rao, Global Artificial Intelligence Lead, PwC)
January 18, 2022 09:00 - 44 minutes - 40.7 MBWho 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 down why responsible AI should be an important consideration for every data science team. Plus, he explains what you need to be successful in...
Supply Chain Solutions & the Role of the ML Engineer (Karin Chu, VP Data Science & Digital Analytics, Peapod Digital Labs)
January 11, 2022 09:00 - 38 minutes - 34.9 MBWhen 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 tackling that challenge head on, particularly as the global supply chain crisis impacts sectors from grocery to apparel. Plus, she explains why two t...
Legal Analytics: Winning Business, Winning Cases, and Winning Over Your General Counsel (Peter Geovanes, Head of Data Strategy, AI & Analytics, Winston & Strawn)
January 04, 2022 09:00 - 30 minutes - 27.6 MBLegal 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 shares insight on the types of legal challenges data science can help address inside any organization. We discuss: The role of advanced analytics ...
Empowering Big Teams to Take on Even Bigger ML Challenges (Jan Neumann, Executive Director, Machine Learning, Comcast)
December 14, 2021 09:00 - 30 minutes - 27.8 MBManaging 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 Learning at Comcast, leads a team of about 300 data scientists, divided into eight different focus areas. If anyone knows how to manage a large d...
Change Management: Winning Over AI Skeptics in Banking & Beyond (Chun Schiros, SVP, Head of Enterprise Data Science Group, Regions Bank)
December 07, 2021 09:00 - 18 minutes - 16.5 MBAs 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 changes always presents interesting challenges. In this episode, Chun Schiros, SVP, Head of Enterprise Data Science Group at Regions Bank, revea...
To Patent or Not to Patent? How to Weigh the Options for Your Team (Kli Pappas, Associate Director of Global Analytics, Colgate-Palmolive)
November 30, 2021 09:00 - 36 minutes - 33.7 MBShould 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 Colgate-Palmolive, shares his team's process for deciding whether to patent an algorithmic process—and what benefits it can bring. Plus, he tal...
How a Centralized Data Science “Nerve Center” Can Power Global Impact (Tim Suhling, VP Global Business Intelligence, Ingram Micro)
November 16, 2021 09:00 - 37 minutes - 42.5 MBThere 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 and AI. In this episode, Tim Suhling, VP Global Business Intelligence at Ingram Micro, explains how it all happened, and what data science leader...
Scaling Data Science Value with Cross-Functional Teams (Jayesh Govindarajan, SVP Data Science & Engineering, Salesforce)
November 09, 2021 09:00 - 37 minutes - 34.1 MBTo embed models into SaaS platforms at scale, it pays to have a cross-functional team—software engineers, UX designers, data scientists, machine learning engineers—all working together. That collaboration allows you to tackle hard challenges around scaling models to work across hundreds of thousands of customers. And it enables you to build something that offers tremendous value across many different use cases. Jayesh Govindarajan, SVP Data Science & Engineering at Salesforce, joins the sh...
Modernizing Healthcare Through Data Science and Digital Transformation (Kaushik Raha, VP Data Science & Health Content Operations, Elsevier)
November 02, 2021 09:00 - 39 minutes - 36.3 MBIn healthcare, only 14% of scientific discoveries actually make it into clinical practice. But data science, in lockstep with the digital transformation, is helping to change that. As healthcare data and clinical studies transition to digital form, the opportunity to use data science and AI to generate insights and recommend treatment pathways is greater than ever. And the ability to make healthcare delivery more equitable is within reach. In this episode, Kaushik Raha, VP Data Science & H...
How Data Science Teams Are Going Deeper with Proof of Value (Nimit Jain, Head of Data Science, Novartis)
October 26, 2021 09:00 - 36 minutes - 33.3 MBAs business leaders become more educated on the value that machine learning can deliver, the demands on data science teams only become greater. Business stakeholders are now interested in much more than the accuracy of predictive models. They’re asking questions about productionization, scalability, and bottom line ROI. In this episode, Nimit Jain, Head of Data Science at Novartis, joins the show to explain how this sea change is transforming how data scientists approach proof of value. Plu...
Why It Pays to Stand Out From the Crowd in Data Science (Bob Bress, Head of Data Science, FreeWheel)
October 19, 2021 09:00 - 25 minutes - 23.1 MBTalent is pouring into data science, even though it always seems like there’s not enough to meet demand. Learning opportunities for people getting into the field have exploded in just the past decade. That means standing out from the crowd—both as a leader and as a practitioner—has become more important than ever before. In this episode, Bob Bress, Head of Data Science at FreeWheel, explains how professionals at all levels can position themselves to win in a burgeoning market. Plus, he of...
Tracking Business Value with Data Science Portfolio Management (Katya Hall, Director of Enterprise Analytics, McKesson)
October 12, 2021 09:00 - 37 minutes - 34.4 MBYou may not have a formal “portfolio management” function within your data science team, but in all likelihood, you’re executing some of its key components already. But being more intentional around portfolio management can pay big dividends. Without it, you could be missing out on a powerful and holistic way of demonstrating the value your team provides to the business. In this episode, Katya Hall, Director of Enterprise Analytics at McKesson, explains how the portfolio management proces...
How to Launch a Data Science Team Built for Scale (Mike Foley, Senior Director of Data Science, Hitachi Vantara)
October 05, 2021 09:00 - 40 minutes - 62.6 MBMike Foley has been building data science teams from scratch since before they were called “data science” teams. His perspective on questions like “Where do I start?” or “How do I get buy-in?” can help leaders growing data science teams of any size avoid some pitfalls along the way. Currently the Senior Director of Data Science at Hitachi Vantara, Mike joined Dave for a conversation that goes deep into the steps required to stand up a data science practice. Plus, he shared what inspired him...
Exploring the Future of Data: Regulations & Managing Analytics Teams (John Thompson, Global Head of Advanced Analytics & AI, CSL Behring)
September 28, 2021 09:00 - 45 minutes - 42 MBBetween GDPR, CCPA, and more regulatory frameworks on the horizon, the landscape of personal data—and how it can be used in business—is shifting. On this episode, John Thompson, Global Head of Advanced Analytics & AI at CSL Behring, joins host Dave Cole to discuss that shift, and a potential future in which we as individuals could be compensated for the use of our data. Plus, John shares the two types of analytics teams he’s seen work well during his career as a data science leader. Topic...
Data Challenges and the Promising Role of Product Analytics in Healthcare
September 21, 2021 09:00 - 31 minutes - 58.2 MBIn a perfect world, healthcare data would always be strategically organized, up-to-date, and easily accessible—all in a patient-centered, privacy-first way. But the reality is much more complex. Robin Foreman, Director of Data Science at CVS Health, joins the show to discuss the challenging world of data science in clinical trials. She also explains how product analytics can be used on the back end of model implementation to answer the key question of “did it work?” Robin shared her perspe...
People Analytics: Data Science, Ethics, and Opportunity in HR (Adam McElhinney, Chief Data Science Officer, VP of Data Insights, Paylocity)
September 14, 2021 09:00 - 42 minutes - 77.7 MBPeople analytics—the application of data science and analytics in the world of HR—can provide valuable insights into recruitment, retention, and productivity. But when working with people's sensitive demographic, compensation, and performance data, ethical and privacy considerations must come first. In this episode, Adam McElhinney, Chief Data Sc ience Officer, VP of Data Insights at Paylocity , explains how his company approaches people analytics, and what all data science leaders can lea...
Lessons from Building a 2,700-Person Analytics Team (Dave Frankenfield, VP Enterprise Data & Analytics, Optum)
September 07, 2021 09:00 - 1 hour - 125 MBDave 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? What functions does it cover? And how does it collaborate with and deliver value to the rest of the company? In this episode, Dave discusses the strategies he’s used to build his team, the lessons he’s learned, and the advice he has for data science leaders scaling teams of any size in the enterprise. The conversation covers: - Building an ...
Oncology Analytics & Delivering Insights from Messy Data (Susan Hoang, VP Oncology Analytics, McKesson)
August 24, 2021 09:00 - 36 minutes - 66.5 MBData plays a vital role in cancer treatment. In oncology analytics, data analytics can help identify promising treatment strategies, offer better access to affordable care options, and provide critical feedback to medical teams. In this episode, Susan Hoang , Vice President of Oncology Analytics at McKesson , shares how her team overcomes the inherent challenges of messy healthcare data to deliver insights that can help save lives. Plus, she shares the unique journey that took her from econ...
How Computer Science & Statistics Fundamentals Can Advance Data Science in 2021 (Chris Volinsky, AVP Data Science & AI Research, AT&T)
August 17, 2021 09:00 - 29 minutes - 53.7 MBComputer scientists can be fearless, pushing the limits of computational power and the scale of data we can analyze. On the flipside, statisticians can be intensely skeptical, always measuring error and bringing a critical perspective. According to Chris Volinsky, AVP - Data Science & AI Research at AT&T, it’s these two schools of thought that combine to make data science such a powerful function in business. In this episode, Chris shares his thoughts on how computer science and statistics...
Getting Started with Deep Learning in the Enterprise (Eitan Anzenberg, Chief Data Scientist, Bill.com)
August 10, 2021 09:00 - 40 minutes - 73.3 MBForward-thinking companies are already embedding machine learning into their business processes—and seeing the payoff of model-driven decisioning. But what about deep learning? How can ambitious data scientists get started with deep learning? How can they satisfy their own curiosity, and eventually apply new approaches to address real business challenges? The field may be more approachable than you think. In this episode, Eitan Anzenberg, Chief Data Scientist at Bill.com, offers his advice ...
Communication in Data Science: Know the Data & Know the Business (Gaia Bellone, SVP - Head of Data Science at KeyBank)
August 03, 2021 08:00 - 38 minutes - 70.4 MBAs a data scientist, you must be able to explain complex ideas in simple ways. Knowing your data, knowing the business, and presenting the data clearly to business stakeholders is an essential part of the role. Gaia Bellone, SVP - Head of Data Science at KeyBank, has a passion for leading and training her data science team. Her priority: ensuring that her team is successful at communicating data effectively. In this episode, we discuss: -Knowing your data and communicating it to the bu...
The Right and Wrong Place for the Citizen Data Scientist (Romain Ramora, Head of Data Science & Innovation - Supply Chain at Cisco)
July 27, 2021 09:00 - 26 minutes - 49.2 MBData 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 the citizen data scientist. But in today’s episode, Romain Ramora , Head of Data Science & Innovation - Supply Chain at Cisco , shares why he thinks we shouldn’t be putting critical models in the hands of people lacking the proper expertise. Romain shared his perspective on: - How a background in risk analytics and consulting prepared him for...
What Happens When You Bring Data Science and Data Engineering Under One Roof (Mark Teflian, VP, Data Science & Data Engineering, Charter Communications)
July 20, 2021 09:00 - 42 minutes - 77.7 MBIt’s a common refrain among enterprise data science professionals: 70-80% of their time is spent on data wrangling and pipeline building. But what happens if you bring data science and data engineering together under one roof? Mark Teflian , VP, Data Science and Data Engineering at Charter Communications (Spectrum), joins the show to share how bringing the functions together can help increase efficiency and productivity for everyone at an enterprise scale. Mark covered: Why data science ...
How to Answer the #1 Question in Enterprise Data Science: “So What?” (Khatereh Khodavirdi, Global Head of Analytics & Data Science - Global Merchants, PayPal)
July 13, 2021 09:00 - 34 minutes - 62.9 MBIn data science, experimentation is everything. But as a leader, how can you balance experimental work that may never pay off with delivering measurable business value every day? In this episode, Khatereh Khodavirdi, Global Head of Analytics & Data Science - Global Merchants at PayPal, talks with host Dave Cole about how she has navigated that balance throughout her career, all while building world-class data science teams in the process. We also discuss: - Making an impact with data scie...
The Past, Present, and Fascinating Future of Data Science (Mike Tamir, Chief ML Scientist and Head of Machine Learning/AI, SIG)
July 06, 2021 09:00 - 44 minutes - 81 MBThe title of “Data Scientist” leapt into prominence in 2012 when the Harvard Business Review named it the “sexiest job of the 21st century.” Almost ten years later, what’s changed? And what’s next? In this episode, Dave Cole is joined by Mike Tamir , Chief ML Scientist and Head of Machine Learning/AI at SIG , to break down the shifting trends in data science, NLP, and ML—and what it all means for leaders in the field. The conversation covers: - The past, present, and future of data scienc...
Industry 4.0: Data Science in Manufacturing (Paul Turner, VP Industry 4.0 Applications & Analytics, Stanley Black & Decker)
June 29, 2021 09:00 - 46 minutes - 84.8 MBWe’re in the middle of the fourth industrial revolution. Industry 4.0 encompasses the use of advanced automation and analytics in manufacturing. So how is data science driving value in Industry 4.0? In this episode, Dave Cole is joined by Paul Turner, Vice President Industry 4.0 Applications & Analytics at Stanley Black & Decker, to break down everything you need to know. We discuss: -The definition and foundational pillars of Industry 4.0 -Three approaches to Industry 4.0 -Balancing d...
The 3 Biggest Jobs of Any Chief Data Officer (Heidi Lanford, Chief Data Officer, Fitch Group)
June 22, 2021 09:00 - 43 minutes - 78.8 MBAs 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 Chief Data Officer has become critical. So what are the biggest challenges facing every good CDO? And where do data science teams intersect with that work? In this episode, Dave Cole is joined by Heidi Lanford, Chief Data Officer at Fitch Group, to discuss strategies for cultivating partnerships between data science leaders and the Chief Dat...
Navigating Data Constraints in the Highly-Regulated Healthcare Industry (Derrick Higgins, Head of Enterprise Data Science & AI, Blue Cross and Blue Shield)
June 15, 2021 09:00 - 29 minutes - 53.2 MBData scientists in the healthcare industry face some especially tough challenges. Not only do they have to contend with complex regulatory landscapes impacting the data they can work with, but they’re also constrained by some less than modern processes. 75% of medical communication is still delivered by fax. And that’s just one example. Derrick Higgins , Head of Enterprise Data Science & AI at Blue Cross and Blue Shield of Illinois, Montana, New Mexico, Oklahoma, and Texas, talks to us ab...
Bioinformatics and the Unprecedented COVID-19 Vaccine Race (Fiona Hyland, Director of R&D, Informatics, Thermo Fisher Scientific)
June 08, 2021 09:00 - 44 minutes - 81 MBThe field of bioinformatics plays a critical role in medical breakthroughs like the COVID-19 vaccine. Fiona Hyland , Director of R&D, DNA Sequencing Informatics at Thermo Fisher Scientific , teaches all of us about how it happened in the latest episode of Data Science Leaders. What we talked about: - A quick run through genetics and bioinformatics terminology - Bioinformatics, and the genetics of cancer and the coronavirus - The role of data science in the development of the COVID-19 va...
Bridging the Gap Between Data Science and Business Outcomes
June 01, 2021 09:00 - 33 minutes - 61.5 MBThe best data scientists are continually learning something new, taking on unfamiliar projects, and keeping their skills fresh. The best leaders in the industry create a culture where teams have opportunities to grow and are able to clearly understand and communicate data science concepts. In this episode, Dave Cole is joined by Dr. Satyam Priyadarshy, Managing Director for India Center, Technology Fellow, and Chief Data Scientist at Halliburton, to discuss how to explain complex subjec...
Challenges and Opportunities in Operationalizing Data Science
May 25, 2021 09:00 - 42 minutes - 78.4 MBData science operationalization is a simple enough concept. But in practice it can be a complicated and often overwhelming challenge. In this episode, Dave Cole is joined by Nishan Subedi, VP, Algorithms at Overstock.com, to discuss the best way to operationalize data science. Nishan talked about: - The data science experts that make up the team at Overstock - Strategies to improve search and measure search success - The difference between ML engineers and ML scientists - How to desi...
How to Be a Truth-Seeking, Truth-Telling Partner in Data Science
May 18, 2021 09:00 - 38 minutes - 70.1 MBData science teams are responsible for delivering impactful models, of course. But they’re also responsible for translating that impact (and all the work that goes into it) for business stakeholders of all kinds. In this episode, Dave Cole is joined by Nate Litton, Vice President, Data & Analytics at Toyota North America, to discuss strategies to strengthen the relationship between data science leaders and their business counterparts. They also talked about: - How to structure ...
How to Use AI Reliability to Identify and Predict Model Decay
May 11, 2021 04:00 - 39 minutes - 72.3 MBWhat 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? In this episode, Dave Cole is joined by Celeste Fralick, Chief Data Scientist at McAfee, to discuss AI reliability and how it can help predict model decay. Celeste also explained: - What AI reliability measures - Processes to put in place to measure AI reliability - The difference between DevOps and MLOps at McAfee - How adversarial m...
More than Models: Building a Culture of Data Literacy and Data Ethics
April 20, 2021 21:45 - 33 minutes - 61.5 MBAlgorithms can have an outsized impact on society. That’s why many data science leaders have focused a lot of effort recently on defining data literacy and ethics in a way that’s operationalizable in their company culture. In this episode, Dave Cole speaks with Chris Wiggins, Chief Data Scientist for the New York Times, about why a foundation of data literacy and data ethics is so important for data scientists. What we talked about: -Building a data science team at the New York Times -Cr...
An Introduction to Data Science Leaders, a Podcast for Daring Data Science Teams
April 20, 2021 21:45 - 5 minutes - 10.6 MBUnleashing the power of data science can help us solve some of the world’s most important challenges. What’s it like to be leading the way? That’s just what Data Science Leaders, a podcast for data science teams that are pushing the limits of machine learning and AI, will explore. In this introductory episode, Lesley Crews, a producer at Sweet Fish Media, talks with Dave Cole, your show host and the Chief Customer Officer at Domino Data Lab. What they talked about: -Dave’s background a...