Optimizing Underwriting Workflows With A.I.

Using AI to address persistent underwriting problems

A decade ago, artificial intelligence rocketed to the peak of the hype cycle as a "wonder-technology" which would address challenges in all walks of life. As the tools have developed, we have gained a better understanding of the characteristics of applications where an advantage could be found.

Many insurance businesses are implementing AI and finding great benefits. What applications might AI have in your business?

In this webinar, industry peers and experts will share their insights and experiences deploying the latest AI applications to optimize the underwriting workflow and drive higher business value.

What you will learn in this webinar:

  • Steps to identify high value use cases within an organization.
  • 3 specific use cases of how AI is being leveraged to enhance the highly manual commercial underwriting process for P&C.
  • How Groupassur, a Montreal based MGA, is leveraging AI to grow their business and why they chose this technology to do it.

Watch the webinar recording or scroll down to learn more about the speakers.

Element AI

Free webinar:

Held June 3, 2020

Part of our
Technology In Action series:
Technology In Action

Featured Speakers:

Jean-François Raymond
Jean-François Raymond
President,
Groupassur

Jean-François is President of Groupassur inc., a Montreal-based MGA doing business across Canada, and Commercial VP of Insurance Company of Prince Edward Island, a Charlottetown-based insurer doing business in Quebec and the Maritimes. Jean-François has experience as an actuary, insurance broker, risk manager and commercial underwriter. He holds a Certified Risk Manager designation from McGill University and the ICD.D designation from the Institute of Corporate Directors. From 2013 to 2019 he was vice-chair on the board of the Chambre de l’assurance de dommages, the Quebec damage insurance industry self-regulating organization.

Bayard Gennert
Bayard Gennert
Senior Expert,
McKinsey & Company

Bayard Gennert is a CPCU, ARe, and PMP. He is a senior expert at McKinsey & Company, where he leads the development and delivery of advanced analytics solutions in the insurance industry.

Bayard began his career in reinsurance, focusing on the intersection of risk placement and technology innovation. His passions include product development, integrating new data sources into the insurance journey, and enabling business execution of analytics.

Charles Dugas
Charles Dugas
Insurance AI Lead,
Element AI

Dr. Charles Dugas is a seasoned insurance veteran with over 25 years of insurance, AI and Analytics knowledge. He founded Element AI’s Insurance practice in early 2017 to help Insurers deploy cutting-edge AI products that augment role productivity and deliver against strategic revenue goals.

He holds a B.Sc. in Actuarial Science, an M.Sc. in Electrical Engineering, and a PhD in Machine Learning with Prof. Yoshua Bengio, a leading authority in AI who is known as one of the 'Godfathers of Deep Learning.’

Doug Grant
Doug Grant
Partner,
Insurance-Canada.ca

Doug Grant has been helping the insurance industry in Canada – individual companies and cross-industry groups in both P&C and Life – make effective use of technology for many years.

Doug is a founding partner of Insurance-Canada.ca, a leading Canadian Insurance resource centre for consumers and insurance professionals alike. He helps organize and host Insurance-Canada.ca's annual conference and other industry events.

Watch Now

Please visit https://youtu.be/6JFYELaGT6U if the embedded video player doesn't work.

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About Element AI

Element AI was co-founded in 2016 by seasoned entrepreneur JF Gagné and leading AI researcher Yoshua Bengio, PhD. Located in the deep learning hub of Montréal, Canada, Element AI also has offices in Toronto, London UK, Singapore and Seoul. The company is committed to promoting collaborative research models to develop AI products at scale to help people work smarter. To learn more about Element AI products and services, visit www.elementai.com or

For more information, contact [email protected].

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