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Metrics That Matter: Communicating ML Value to Stakeholders in Insurance

Offered By: Toronto Machine Learning Series (TMLS) via YouTube

Tags

Stakeholder Management Courses Data Science Courses Machine Learning Courses Project Management Courses Risk Management Courses Model Deployment Courses

Course Description

Overview

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Explore innovative approaches to gaining stakeholder buy-in for machine learning projects in the insurance industry through this insightful conference talk. Learn from Christina Cai, Co-Founder & COO of Knowtions Research, and Jennifer Nguyen, Lead Data Scientist at Sun Life, as they address crucial questions about sponsoring ML projects, convincing stakeholders to implement models in production, and effectively communicating ROI post-deployment. Discover creative strategies for demonstrating the trustworthiness and value of ML solutions in a highly regulated and risk-averse environment, moving beyond traditional metrics like ROC scores to focus on stakeholder-centric measures that truly matter.

Syllabus

Forget ROC scores, What Metrics Do your Stakeholders Care About?


Taught by

Toronto Machine Learning Series (TMLS)

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