Explainable AI (xAI)
for Medicare Advantage
Machine learning backed decisions are not enough to meet the need of healthcare today. xAI, or Explainable AI is what we need.
In a highly regulated industry like healthcare, we cannot blindly believe the results we are presented. xAI is what solves this problem and in this webinar we will deep dive into what it is and how it helps healthcare providers.
Payors will get an understanding of how xAI will benefit their strategic decision making for product, provider networks and marketing. They will also get a better understating of how such an exercise is executed and what are the different methodologies that are used.
In this webinar, attendees will learn:
- What is xAI?
- The importance of interpretability and explainability in Machine Learning
- The need for xAI in the healthcare industry
- What are some xAI methodologies?
- Results of an xAI exercise
Webinar Details
Date: January 19, 2022
Time: 2 PM EST/11 AM PST
Duration: 45 Minutes plus live Q & A
This educational webinar will focus on the application of xAI in healthcare marketing, with emphasis on how Payers and Providers can measure the impact of individual variables to increase marketing ROI.
While traditional Black Box AI models typically provide better prediction accuracy, the lack of explainability, or comprehension of the driving factors, often leaves marketers struggling to find ways to exceed predictions. Explainable AI, or xAI for short, provides that much-needed granularity.
Speakers
Jereme Ayers
Chief Growth Officer
Shreya Mukhopadhyay
Lead - Data Sciences
Shreya is an analytics professional with more than six years of experience in statistical model development and data consultation. She has worked on cutting-edge machine learning algorithms that enable businesses to make better decisions by turning raw data into actionable insights. Her areas of expertise include python, R statistical computing, data exploration, and visualization.
Roydon Noronha
Sr. Business Analyst – Market Research
