
Data Science Leaders
Domino Data Lab
Data 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.
Categorias: Tecnología
Escuchar el último episodio:
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, hundreds of millions of customers, and petabytes of data at any given moment, Walmart offers some unique lessons in the complexities of building teams, processes, and products to effectively leverage AI at scale.
In this episode, Srujana shares a few of those lessons, along with her perspective on nonlinear career paths, organizational collaboration and alignment, and her ongoing fascination with what’s next. Plus, she dives into her passion for fostering diversity in data science and tech, sharing strategies leaders can implement to help bring more women into the field.
We discuss:
What to prioritize when experimenting with next-gen tech
How to use “communities of practice” to align your organization
Solving governance, reproducibility, and knowledge sharing challenges at scale
Bringing more women into data science
In this season finale episode, host Dave Cole also shares his three biggest takeaways from his many in-depth conversations with leaders in data science.
Stay tuned for a whole new season of Data Science Leaders coming soon! We're just getting started.
Tune in on Apple Podcasts, Spotify, our website, or wherever you listen to podcasts.
Can’t see the links above? Just visit domino.buzz/podcast for helpful links from each episode.
Episodios anteriores
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48 - What It Takes to Productize Next-Gen AI on a Global Scale (Srujana Kaddevarmuth, Senior Director of Data & Machine Learning Programs, Walmar Tue, 31 May 2022
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47 - Help Me Help You: Forging Productive Partnerships with Business Stakeholders (Sunil Kumar Vuppala, Director of Global Artificial Intelligenc Tue, 12 Apr 2022
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46 - Change Management Strategies for Data & Analytics Transformations (Michal Levitzky Head of Data & Analytics - CDO, Migdal Group) Tue, 05 Apr 2022
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45 - A Hybrid Approach to Accelerating the Model Lifecycle (David Von Dollen, Head of AI, Volkswagen of America) Tue, 29 Mar 2022
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44 - Giving Back and Building Your Brand as a Data Science Leader (Sidney Madison Prescott, Global Head of Intelligent Automation - RPA, AI, ML, Tue, 22 Mar 2022
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43 - Governing Models and Structuring Teams in Highly Regulated Industries (Anju Gupta, VP Data Science & Analytics, Northwestern Mutual) Tue, 15 Mar 2022
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42 - How to Operationalize, Scale, and Measure AI in Life Sciences (Sidd Bhattacharya, Director of Healthcare Analytics & AI, PwC) Tue, 08 Mar 2022
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41 - Getting to Ground Truth with Strategies from ML in Electronics Manufacturing (Alon Malki, Senior Director of Data Science, NI) Tue, 01 Mar 2022
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40 - Elevating Your Team as Strategic Business Partners (Indy Mondal, Senior Director of Data Science, AI & Product Insights, DocuSign) Tue, 22 Feb 2022
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39 - A Journey Through the Data Science & Analytics Value Chain (Nancy Hersh, Chief Data Officer, Arcadia) Tue, 15 Feb 2022
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38 - Decoding Human Behavior and Well-Being through Data Science (Takuya Kitagawa, Chief Data Officer & Managing Executive Officer, Rakuten Group Tue, 08 Feb 2022
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37 - Motivating Teams and Combating Bias in Healthcare Data Science (Vikram Bandugula, Senior Director of Data Science, Anthem) Tue, 01 Feb 2022
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36 - Data in the DNA: Breaking Down the Autonomous Enterprise (Janet George, Enterprise AI Leader & Author) Tue, 25 Jan 2022
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35 - Embedding Responsible AI in Your Models and Your Team (Anand Rao, Global Artificial Intelligence Lead, PwC) Tue, 18 Jan 2022
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34 - Supply Chain Solutions & the Role of the ML Engineer (Karin Chu, VP Data Science & Digital Analytics, Peapod Digital Labs) Tue, 11 Jan 2022
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33 - Legal Analytics: Winning Business, Winning Cases, and Winning Over Your General Counsel (Peter Geovanes, Head of Data Strategy, AI & Analyti Tue, 04 Jan 2022
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32 - Empowering Big Teams to Take on Even Bigger ML Challenges (Jan Neumann, Executive Director, Machine Learning, Comcast) Tue, 14 Dec 2021
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31 - Change Management: Winning Over AI Skeptics in Banking & Beyond (Chun Schiros, SVP, Head of Enterprise Data Science Group, Regions Bank) Tue, 07 Dec 2021
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30 - To Patent or Not to Patent? How to Weigh the Options for Your Team (Kli Pappas, Associate Director of Global Analytics, Colgate-Palmolive) Tue, 30 Nov 2021
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29 - How a Centralized Data Science “Nerve Center” Can Power Global Impact (Tim Suhling, VP Global Business Intelligence, Ingram Micro) Tue, 16 Nov 2021
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28 - Scaling Data Science Value with Cross-Functional Teams (Jayesh Govindarajan, SVP Data Science & Engineering, Salesforce) Tue, 09 Nov 2021
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27 - Modernizing Healthcare Through Data Science and Digital Transformation (Kaushik Raha, VP Data Science & Health Content Operations, Elsevier) Tue, 02 Nov 2021
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26 - How Data Science Teams Are Going Deeper with Proof of Value (Nimit Jain, Head of Data Science, Novartis) Tue, 26 Oct 2021
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25 - Why It Pays to Stand Out From the Crowd in Data Science (Bob Bress, Head of Data Science, FreeWheel) Tue, 19 Oct 2021
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24 - Tracking Business Value with Data Science Portfolio Management (Katya Hall, Director of Enterprise Analytics, McKesson) Tue, 12 Oct 2021
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23 - How to Launch a Data Science Team Built for Scale (Mike Foley, Senior Director of Data Science, Hitachi Vantara) Tue, 05 Oct 2021
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22 - Exploring the Future of Data: Regulations & Managing Analytics Teams (John Thompson, Global Head of Advanced Analytics & AI, CSL Behring) Tue, 28 Sep 2021
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21 - Data Challenges and the Promising Role of Product Analytics in Healthcare Tue, 21 Sep 2021
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20 - People Analytics: Data Science, Ethics, and Opportunity in HR (Adam McElhinney, Chief Data Science Officer, VP of Data Insights, Paylocity) Tue, 14 Sep 2021
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19 - Lessons from Building a 2,700-Person Analytics Team (Dave Frankenfield, VP Enterprise Data & Analytics, Optum) Tue, 07 Sep 2021
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18 - Oncology Analytics & Delivering Insights from Messy Data (Susan Hoang, VP Oncology Analytics, McKesson) Tue, 24 Aug 2021
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17 - How Computer Science & Statistics Fundamentals Can Advance Data Science in 2021 (Chris Volinsky, AVP Data Science & AI Research, AT&T) Tue, 17 Aug 2021
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16 - Getting Started with Deep Learning in the Enterprise (Eitan Anzenberg, Chief Data Scientist, Bill.com) Tue, 10 Aug 2021
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15 - Communication in Data Science: Know the Data & Know the Business (Gaia Bellone, SVP - Head of Data Science at KeyBank) Tue, 03 Aug 2021
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14 - The Right and Wrong Place for the Citizen Data Scientist (Romain Ramora, Head of Data Science & Innovation - Supply Chain at Cisco) Tue, 27 Jul 2021
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13 - What Happens When You Bring Data Science and Data Engineering Under One Roof (Mark Teflian, VP, Data Science & Data Engineering, Charter Com Tue, 20 Jul 2021
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12 - How to Answer the #1 Question in Enterprise Data Science: “So What?” (Khatereh Khodavirdi, Global Head of Analytics & Data Science - Global Tue, 13 Jul 2021
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11 - The Past, Present, and Fascinating Future of Data Science (Mike Tamir, Chief ML Scientist and Head of Machine Learning/AI, SIG) Tue, 06 Jul 2021
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10 - Industry 4.0: Data Science in Manufacturing (Paul Turner, VP Industry 4.0 Applications & Analytics, Stanley Black & Decker) Tue, 29 Jun 2021
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9 - The 3 Biggest Jobs of Any Chief Data Officer (Heidi Lanford, Chief Data Officer, Fitch Group) Tue, 22 Jun 2021
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8 - Navigating Data Constraints in the Highly-Regulated Healthcare Industry (Derrick Higgins, Head of Enterprise Data Science & AI, Blue Cross a Tue, 15 Jun 2021
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7 - Bioinformatics and the Unprecedented COVID-19 Vaccine Race (Fiona Hyland, Director of R&D, Informatics, Thermo Fisher Scientific) Tue, 08 Jun 2021
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6 - Bridging the Gap Between Data Science and Business Outcomes Tue, 01 Jun 2021
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5 - Challenges and Opportunities in Operationalizing Data Science Tue, 25 May 2021
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4 - How to Be a Truth-Seeking, Truth-Telling Partner in Data Science Tue, 18 May 2021
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3 - How to Use AI Reliability to Identify and Predict Model Decay Tue, 11 May 2021
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2 - More than Models: Building a Culture of Data Literacy and Data Ethics Tue, 20 Apr 2021
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1 - An Introduction to Data Science Leaders, a Podcast for Daring Data Science Teams Tue, 20 Apr 2021