Skip to content
    Data Science Leaders | Episode 47 | 41:14 | May 31, 2022

    What It Takes to Productize Next-Gen AI on a Global Scale

    Get new episodes in your inbox
    powered by Sounder



    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.

    Popular episodes

    Help Me Help You: Forging Productive Partnerships with Business...

    38:03 | Episode 46 | April 12, 2022

    Change Management Strategies for Data & Analytics Transformations

    38:52 | Episode 45 | April 5, 2022

    A Hybrid Approach to Accelerating the Model Lifecycle

    23:22 | Episode 44 | March 29, 2022

    See why Fortune 100 data science leaders choose Domino