Processing Insurance Claims with Automated, Scalable and Fair AI webinar

When:  Jul 22, 2021 from 12:00 PM to 01:00 PM (ET)

Processing Insurance Claims with Automated, Scalable and Fair AI

Thu, Jul 22, 2021 12:00 PM EDT


Processing claims are a major cost driver for insurers, accounting for 30% of operating costs on average. Inefficient claims processing leads to claims leakage, which is money lost from spending more on resolving a claim than necessary, through decision making errors and additional touchpoints. Insurers can use AI to improve efficiencies and reduce costs. However, longstanding ethical and scalability concerns have hindered AI adoption in the industry.

Join us for a Chat with the Lab webinar on how we can create an AI pipeline architecture on IBM’s Cloud Pak for Data that’s motivated by real non-life insurance projects and addresses the longstanding ethical and scalability concerns.

Speakers


Kristen Mcgarry
Data Scientist & Industry CTO, Financial Services, IBM Data Science and AI Elite

Kristen is a Data Scientist & Financial Services Industry Lead from IBM’s Data Science and AI Elite team (DSE). Based In New York City, Kristen has partnered with clients on their journey to AI across multiple industries, including banking, insurance, industrial, automotive, and health care. Her cross-industry experience allows her to bring a fresh perspective and lessons learned from other industries to Financial Services. Kristen engages daily with clients to identify business opportunities for innovation, accelerate time to value, and help onboard those new to machine learning and AI. Kristen is passionate about discovering data insights, solving challenging problems, and promoting women in STEM.



Kenneth Lim
Data Scientist, IBM Data Science and AI Elite

Kenneth is a senior data scientist with IBM’s Data Science Elite team. He has created AI solutions with multimillion-dollar expected benefits for clients across industries. He has a PhD from the University of Warwick.


Maxime Allard
Data Scientist, IBM Data Science and AI Elite

Maxime is a Data Scientist with the Data Science Elite Team where he helps clients develop and deploy machine learning algorithms. He joined the DSE team in New York after finishing his Master in Operations Research at Columbia University and after two years he joined the same team in London. Currently, he is additionally doing a PhD at Imperial College London in ML and Robotics to make robots more adaptive and help them to learn a multitude of skills across domains.