Challenges in Enterprise Data Science

Thu. January 28, 2021 @ 14:45 ET

As companies are hiring data scientists and deploying machine learning models, data science projects present their own set of unique challenges. This panel will discuss some of the challenges enterprises encounter, how companies can put end users first when deploying data science initiatives and ML models, and examples of how to overcome some of these challenges.

Hear from enterprise experts about challenges in implementing data science in enterprise settings.

Moderator: Nir Bar-Lev (ClearML)


  • Anne Bauer (NY Times)
  • Aditi Saluja (T-mobile)
  • Raam Roch Hai (Heineken NV)
  • Radha Sankaran (Verizon)

Featured Presenters

Aditi Saluja

Aditi is responsible for designing and delivering highly scalable machine learning and analytics solutions for the best network experience for T-Mobile customers. While I drive

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Anne Bauer

Anne is a Director of Data Science at The New York Times, where she heads the Algorithmic Recommendations team. The Algo Recs team uses machine

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Nir Bar-Lev

Nir has three decades of technology and business leadership experience. Nir started his career as an engineer building ERP systems and financial BI and big-data

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Raam Rosh Hai

Raam’s mission is to help organizations find the shortest route from idea to product. He is passionate about solving problems especially if they involve data

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Radha Sankaran

Technology Executive with 25+ years of hands-on leadership experience and a proven track record in a fast paced and quality driven product delivery, leading and

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