Details

July 20, 2023

2:50 pm

-

3:30 pm

Delaware

Track:

AI & ML

Level:

Advanced

Description

This talk will discuss what it is like to build AI/ML products from end-to-end, as well as common challenges and ethical concerns, focusing on the product development lifecycle of Deloitte’s HealthPrism™ solution (contains over 200 health-related and geographic data points on 270M adults) and the use case of clustering models to enable precision public health. Attendees will gain insight into machine learning techniques including random forest feature selection, unsupervised learning via clustering, and classification. We will do a deep dive into the technical and behavior techniques we used to select a model and how we deployed the final outputs, 15 behavioral clusters, to inform real world public health interventions. Participants of all levels will walk away with lessons learned as we share our process and challenges in this real world case study on using big data and machine learning to build precision health solutions to advance health equity across populations.

Details

July 20, 2023

2:50 pm

-

3:30 pm

Delaware

Track:

AI & ML

Level:

Advanced

Presenters
Maiki Paul
Product Manager
Deloitte

Bio

Maiki is mission-driven tech leader and entrepreneur, working with incredible professionals across diverse fields with the common goal to help tangibly improve life outcomes. She is currently the Product Manager of HealthPrism, Deloitte’s predictive analytics platform for social drivers of health, equity, and human services. She is greatly energized by her work where she gets to apply 9+ years of experience in public health, data science, and analytics to build AI/ML products that that help organizations get resources to the most vulnerable communities at scale. She holds a Masters degree in Public Health from the University of Pennsylvania's Perelman School of Medicine and Bachelors degree from Brown University.

Bio

Maiki is mission-driven tech leader and entrepreneur, working with incredible professionals across diverse fields with the common goal to help tangibly improve life outcomes. She is currently the Product Manager of HealthPrism, Deloitte’s predictive analytics platform for social drivers of health, equity, and human services. She is greatly energized by her work where she gets to apply 9+ years of experience in public health, data science, and analytics to build AI/ML products that that help organizations get resources to the most vulnerable communities at scale. She holds a Masters degree in Public Health from the University of Pennsylvania's Perelman School of Medicine and Bachelors degree from Brown University.

Godsee Joy
AI & Data Engineering Consultant
Deloitte

Bio

Godsee has been a Consultant in the Government & Public Services sector at Deloitte for 3 years, working with federal and state clients across data science and visualization, evaluation, behavioral science, strategy, and AI ethics. She's passionate about applying these skills to public health and climate change to improve equity. She graduated from the University of Notre Dame with a degree in Economics and Peace Studies and is an incoming MS in Analytics graduate student at Georgia Tech.

Bio

Godsee has been a Consultant in the Government & Public Services sector at Deloitte for 3 years, working with federal and state clients across data science and visualization, evaluation, behavioral science, strategy, and AI ethics. She's passionate about applying these skills to public health and climate change to improve equity. She graduated from the University of Notre Dame with a degree in Economics and Peace Studies and is an incoming MS in Analytics graduate student at Georgia Tech.

Bio

Bio

Bio

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