data science issues collaboration
play

Data Science Issues & Collaboration Eugene Wen, MD. DrPH. VP - PowerPoint PPT Presentation

Data Science Issues & Collaboration Eugene Wen, MD. DrPH. VP Group Advanced Analytics Manulife Canada Data Science Workshop, Toronto, April 30, 2018 Advanced Analytics in Manulife/John Hancock Cindy Forbes, EVP, Chief Analytics


  1. Data Science Issues & Collaboration Eugene Wen, MD. DrPH. VP – Group Advanced Analytics Manulife Canada Data Science Workshop, Toronto, April 30, 2018

  2. Advanced Analytics in Manulife/John Hancock Cindy Forbes, EVP, Chief Analytics Officer, former Global Chief Actuary, Chair of Governors, University of Waterloo 2

  3. Data Science Issues for Research DEEP LEARNING 01 How can deep learning support customer service and other tasks Deep Learning in financial institutions? GRAPH DATABASE 02 Graph database How can we better store, analyze and visualize relationship data for business usage? CONTEXTUAL NLP 03 How can we better understand DATA SCIENCE Contextual NLP customer needs and iimprove customer experience? FRAUD DETECTION 04 Fraud Detection We have billions of transactions. How can we identify fraudulent transactions in all of the data?

  4. Collaboration with Universities : Data Understanding Coordination 4

  5. Thank you! 5

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend