DataTalk

DataTalk

By ExperianBusinessTechnology
Download on the App Store

DataTalk episodes

  • Alex Siegman: Strategies for Leveraging AI in a Large Organization

    We spoke with Alex Siegman, AI Technical Program Manager at Dow Jones. He talks about his academic background, data science interests and how he helped develop the Dow Jones AI Center.

    Alex's expertise includes successfully managing projects, products, and people as well as studying and perfecting the constants—those skills and techniques necessary to design, develop, and deploy revenue-driving technologies across place and time. He formerly worked at The Associated Press and The Wall Street Journal.

    38 min
  • Jonathan Westley: Using Better Data to Improve Financial Inclusion

    Jonathan is the Chief Data Officer for Experian UK&I and EMEA, with overall responsibility for all data related aspects including governance, insight, strategy and performance.

    Jonathan Westley talks about his role as Experian's Chief Data Officer in UK&I & EMEA. Jonathan also shares insights from a recent white paper: Making the Invisibles Visible.

    https://www.experian.co.uk/blogs/latest-thinking/decisions-and-credit-risk/making-the-invisible-visible

    46 min
  • Tim Sweeney: Navigating Your Data Science Journey

    We talked with Tim S. Sweeney about how his passion for data science, entrepreneurship, and steps he takes to continually improve his business and leadership skills.

    Tim Sweeney is a Product Manager on the Machine Learning team at Twitter. He is helping to build a unified ML Platform to amplify Twitter's ability to leverage ML at massive scale. He specializes in: modelling libraries, training & serving infrastructure, recommendation systems, and observability.

    1 hr 2 min
  • Consumer Credit Risk Insights with Dr. Emre Sahingur #DataTalk

    In today's #DataTalk, we're spoke with Dr. Emre Sahingur about Consumer Credit Risk Insights.

    Emre is the SVP of Predictive Analytics at VantageScore Solutions. Emre has a vast range of expertise in risk management, modeling and quantitative analysis to successfully drive strategic and operating decisions in consumer lending.

    49 min
  • Dr. Scott E. Page - The Model Thinker: Making Data Work for You

    In today's DataTalk podcast, we spoke with Dr. Scott Page about his latest book "The Model Thinker: What You Need to Know to Make Data Work for You." Dr. Page is a social scientist and Leonid Hurwicz Collegiate Professor of Complex Systems, Political Science, and Economics at the University of Michigan, Ann Arbor.

    He is known for his research on and modeling of diversity and complexity in the social sciences. His specific research interests include path dependence, culture, collective wisdom, adaptation, and computational models of social life.

    50 min
  • Andriy Burkov: The Hundred-Page Machine Learning Book

    Andriy is a Machine Learning Team Leader at Gartner, the world's leading research and advisory company.

    He has his PhD in computer science for artificial intelligence, and he also has his Master of Science degree in computer science for artificial intelligence. He is also the author of "The Hundred-Page Machine Learning Book."

    http://www.themlbook.com/

    1 hr 31 min
  • The Princeton Dialogues on AI and Ethics: A Human Values Approach to AI Design and Deployment

    In this #DataTalk, we talked with Chloé Bakalar and Ben Zevenbergen about a human values approach to AI design and deployment. Chloé Bakalar is Assistant Professor of Political Science. She is also a Visiting Research Collaborator at Princeton University's Center for Information Technology Policy (CITP). Ben Zevenbergen is a visiting professional specialist at CITP. His work mostly consists of multidisciplinary investigations in the ethical, social, and legal impacts of Internet technologies, and vice versa.

    52 min

About DataTalk

From the publisher's feed

Experian's DataTalk is a fun show featuring data science leaders and technologists from around the world. We talk about artificial intelligence, machine learning, deep learning, computer vision, data…