June 9, 2021, 4:30 PM UTC

Data Points: Healthcare and Finance

Take part in a series of interactive sessions that focus on tackling pressing industry challenges & opportunities with Senior Data & Analytics leaders.

Speakers

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    Tempest van Schaik PhD
    Sr Machine Learning Engineer (Healthcare) at Microsoft
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    Faizan Javed
    Senior Director of Search, Data Science and Analytics at Kaiser Permanente
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    Colin (Lin) Chen
    Executive Director at JPMorgan Chase & Co
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    Javier Orraca
    Data Scientist at Health Net
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    Pragati Awasthi
    AVP Decision Science & Analytics at PNC
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    Miriam Friedel
    Director, Software Engineering - Center for Machine Learning at Capital One
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    Ilya Katsov
    VP of Technology at Grid Dynamics
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    Michael Berger
    VP, Chief Data & Analytics Officer and VP, Enterprise Data Science Center of Excellence at Mount Sinai Health System
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    Jesse Bishop
    Enterprise Account Executive at Dataiku
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    Sandhya Prabhakaran
    Research Scientist at Moffitt Cancer Center
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Agenda

  • 09:30 - 09:40 PDT
    Introduction
  • 09:40 - 10:05 PDT
    Machine Learning in Computational Biology using single-cell RNA-seq data and spatial transcriptomic images
  • 10:05 - 10:10 PDT
    5 min break
  • 10:10 - 10:35 PDT
    Healthcare Finance Beyond Excel: R for Automation, Time Series Forecasting, and Interactive Reporting
  • 10:35 - 10:40 PDT
    5 min break
  • 10:40 - 11:05 PDT
    How to create advanced analytics services for your company and business partners on top of CDP
  • 11:05 - 11:10 PDT
    5 min break
  • 11:10 - 11:35 PDT
    Search & Recommender Systems for Healthcare
  • 11:35 - 11:50 PDT
    15 min break
  • 11:50 - 12:15 PDT
    Data Science in the next Generation of Risk Management
  • 12:15 - 12:20 PDT
    5 min break
  • 12:20 - 12:45 PDT
    Technical Debts in Machine Learning Systems
  • 12:45 - 12:50 PDT
    5 min break
  • 12:50 - 13:15 PDT
    Journey to AI at Scale: The View from the CDAO’s Desk
  • 13:15 - 13:20 PDT
    5 min break
  • 13:20 - 13:45 PDT
    Responsible AI in Health: From Principles to Practice
  • 13:45 - 13:50 PDT
    5 min break
  • 13:50 - 14:15 PDT
    Standardizing the Model Development Process
  • 14:15 - 14:20 PDT
    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

  • Marketing spend optimization and attribution
  • Customer analytics and personalization
  • Fraud detection and risk scoring
  • ML for quantitative equity portfolio management
  • Price and promotion optimization
  • Churn prevention
  • AI/ML for IT Operations (AIOps)
  • Data Science platforms and MLOps
  • Deep learning for enterprise applications
  • Reinforcement learning in personalization and trading
  • Computer vision for digital experience platforms
  • Data science platforms
  • MLOps and AI productization
  • Data platforms for self-service analytics
  • Advanced data quality control
  • Scalable data engineering
  • Cloud data platforms

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