March 25, 2021, 3:00 PM UTC

The Data Points Virtual Summit: Media, Entertainment and Technology

The Data Points Virtual Summit features 12 interactive online sessions on Data Science, Analytics & Enterprise AI trends and best practices with a focus on the Media, Entertainment & Technology sectors. Join other data science leaders as they engage and learn from each other.

Speakers

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    Sidney Madison Prescott
    Global Head of Intelligent Automation at Spotify
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    Taeyoung Choi
    Data Scientist at Condé Nast
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    Celia Eddy
    Data Scientist at The New York Times
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    David Press
    Data Scientist at DoorDash
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    Jacob Claussen
    Manager, Marketing Analytics at Zynga
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    Danny Monistere
    SVP of Policy and Guidelines at Nielsen
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    Amit Bhattacharyya
    Head of Data Science at Vox Media
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    Das Dasgupta
    Chief Data Officer at Saatchi & Saatchi
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    Carlos Ariza
    Chief Data Scientist at CAA (Creative Artists Agency)
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    Sergei Izrailev
    Head of Analytics and Data Science at Yieldmo
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    Jake Jian
    Lead Data Scientist at Grid Dynamics
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    Vasilii Kovalchenko
    Data Scientist at Grid Dynamics
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    Aleksey Aleev
    Staff Data Scientist at Grid Dynamics

Agenda

  • 11:00 - 11:10 ET
    10 min intro
    Welcome Reception
  • 11:10 - 11:35 ET
    25 min session
    A Plug-and-play Personalization Platform Using Reinforcement Learning
  • 11:35 - 11:40 ET
    5 min break
  • 11:40 - 12:05 ET
    25 min session
    Recipe Recommendations at The New York Times
  • 12:05 - 12:10 ET
    5 min break
  • 12:10 - 12:35 ET
    25 min session
    Balancing the fraud equation: How DoorDash optimizes fraud model thresholds and actions
  • 12:35 - 12:40 ET
    5 min break
  • 12:40 - 1:05 ET
    25 min session
    Ratings Transformation: Integrating Big Data
  • 1:05 - 1:20 ET
    15 min break
  • 1:20 - 1:45 ET
    25 min session
    There are no shortcuts to any place worth going: The journey towards Enterprise AI
  • 1:45 - 1:50 ET
    5 min break
  • 1:50 - 2:15 ET
    25 min session
    A multi-faceted approach to optimizing digital advertising spend towards desired outcomes using attention measurement and machine learning
  • 2:15 - 2:20 ET
    5 min break
  • 2:20 - 2:45 ET
    25 min session
    The Ultimate Digital Transformation: Citizen RPA Developers & Citizen Data Scientists
  • 2:45 - 2:50 ET
    5 min break
  • 2:50 - 3:15 ET
    25 min session
    Solving Customer Churn: A Prescriptive Modelling Approach
  • 3:15 - 3:30 ET
    15 min break
  • 3:30 - 3:55 ET
    25 min session
    Consumer Segmentation, Targeting, and Positioning using Unsupervised Clustering and Distance Algorithms in Advertising
  • 3:55 - 4:00 ET
    5 min break
  • 4:00 - 4:25 ET
    25 min session
    iOS14 or: How I Learned to Stop Worrying and Love the SKAdNetwork
  • 4:25 - 4:30 ET
    5 min break
  • 4:30 - 4:55 ET
    25 min session
    A nonlinear embedder framework with interpretable features for content personalization
  • 4:55 - 5:00 ET
    5 min break
  • 5:00 - 5:25 ET
    25 min session
    Content-Driven Advertising using First Party Data
  • 5:25 - 5:30 ET
    5 min outro

About Data Points:

Data Points is an event series focusing on Data Science, Artificial Intelligence, and Machine Learning in enterprise applications. Join other senior practitioners and executives for immersive talks on use cases, trends, and the technical infrastructure powering the most sophisticated data practices. Learn from leaders in data who have implemented data practices at scale in a series of interactive presentations.

Participants

Topics

  • Customer analytics and personalization
  • B2C and B2B price and promotion optimization
  • Marketing spend optimization and attribution
  • Risk scoring and fraud detection
  • AI/ML for IT Operations
  • Data Science platforms and MLOps
  • Deep learning and reinforcement learning for enterprise applications
  • Computer vision for digital experience platforms and manufacturing
  • Data platforms for self-service analytics

Watch the talks