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Data Science for Business Leaders

Date: Wednesday, December 4, 2019

Time: 2:00 PM ET

Duration: 60-minutes

Karolis Urbonas, leader of a machine learning and science team at Amazon Web Services, will speak with Hugo Bowne-Anderson, data scientist and educator at DataCamp, about how business leaders need to think about data-driven and AI transformations within their organizations.

They’ll discuss what type of value company-wide data fluency can create, what business leaders need to know about data analytics and data science to successfully incorporate these disciplines into their organizations, how to build high-performance data teams, and how to align an organization’s data function with long-term company strategy, among other topics.

Wherever you happen to be on your transformation into a data-driven and AI-fluent business, this webinar will provide insight into the state-of-the-art, current trends, and calls to action for your next steps towards data fluency.

Learning Objectives:

  • Learn what business leaders need to know about data analytics and data science to successfully incorporate these disciplines into their organizations.
  • Learn how to build high-performance data teams within your organization.
  • Learn how to align your organization’s data function with long-term company strategy.

Sponsored by:

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Speakers:

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   Karolis Urbonas

Karolis is currently leading a machine learning and science team at Amazon Web Services. He's a data science enthusiast obsessed with machine learning, analytics, feature engineering, and building superstar teams. Karolis has a demonstrated history of building high-performing data science teams and delivering strategic analytic projects. He has a proven track record of influencing and disrupting business models of large international organizations with strategic insights and implementation of data-driven solutions.

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   Hugo Bowne-Anderson

Dr. Hugo Bowne-Anderson is a data scientist and educator at DataCamp and host of the DataCamp podcast DataFramed. He has worked in applied math research in cell biology at Yale University and the Max Planck Institute for Cell Biology and Genetics, after receiving his Ph.D. in Pure Mathematics at the University of New South Wales. He joined DataCamp three years ago to build out their foundational data science curriculum in Python and his main interests now are promoting data and AI fluency, helping to spread data skills through organizations.