SOS ‘19 Speaker Profile: Brian Billings, Midwest Employers Casualty Co.

Louisiana Comp Blog’s upcoming tech conference, Spotlight on Solutions, will bring together various stakeholders in the workers’ comp industry on June 27th in New Orleans to discuss how technology is changing comp and where we’re headed in the age of endless information.

Leading up to the conference, this Q&A series will allow attendees to learn more about our presenters and what they have to offer. Next up is Brian Billings, VP of Predictive Analytics at Midwest Employers Casualty Co. He’ll be presenting on his company’s predictive analytics and how it works at the conference.

More information and registration for Spotlight on Solutions is available here.

Comp Blog: What is your educational background?

Billings: I earned a Bachelors of Science in Business Administration – Management Information Systems from Saint Louis University and my Juris Doctor from Saint Louis University.

Comp Blog: What positions did you hold prior to your current position?

Billings: I was previously a business and technology consultant.

Comp Blog: How long have you been with your company?

Billings: I’ve been with Midwest Employers for ten years now.

Comp Blog: What does your day-to-day look like in your job?

Billings: My day-to-day varies greatly. I may be involved in a technical conversation about predictive models and then later in the day be involved in a sales call to demo our technology. My job demands being able to switch between technical conversations and strategic conversations at any given time. I regularly present on the topic of predictive analytics at industry events. On any given day, I am usually doing one of three things – talking about the application of predictive analytics in business, working in the technical details of implementing predictive models, or working on business issues related to workers’ compensation.

Comp Blog: How does technology influence your work?

Billings: Technology is an integral part of what my team does with predictive analytics. The creation and automation of predictive models requires a deep level of programming and machine learning skills. Our job would be impossible without the assistance of technology.

Comp Blog: What are the key takeaways that you would like Spotlight on Solutions attendees to gain from your presentation?

Billings: The key takeaways are as follows:

  • How predictive analytics can be used in workers compensation.
  • Using predictive models to identify high-risk claims as early as possible.
  • Understanding that claim predictive models are only the first step. Intervention generates the successful claim outcome.
  • How models are integrated with the claim process.

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