iCAS Subject Matter Experts to Present at The Data Science Conference in Chicago

May 1, 2018

Three analytics experts from The CAS Institute (iCAS) will be presenting later this week at The Data Science Conference in Chicago:

  • Jim Guszcza, FCAS, CSPA, MAAA, Ph.D., chief data scientist at Deloitte
  • Glenn Meyers, FCAS, CERA, Ph.D., former vice president and chief actuary at ISO Innovative Analytics
  • Christopher Monsour, FCAS, CSPA, MAAA, vice president, predictive business applications at CNA

The two day event, which will feature talks on data science, data mining, machine learning, artificial intelligence and other related topics, will be attended by accomplished data scientists from a wide variety of domains.

Guszcza, Meyers and Monsour are scheduled to present at the following sessions:

Thursday, May 3

Some Actuarial Applications of Bayesian MCMC Models
Glenn Meyers

Historically, the practical use of Bayesian models has been very limited as the calculation of results has been difficult, or in many cases of interest, impossible.  This all changed near the end of the 20th century with the discovery of Bayesian Markov-Chain Monte-Carlo (MCMC) models. This talk will provide an overview of Bayesian MCMC models and the available software that implements these models.

Actuarial Science and Data Science – iCAS
Chris Monsour, CNA

As the insurance industry continues to move towards using advanced predictive analytics, companies are looking to form teams with the skills to meet these new challenges. This session will explore the evolution of actuarial science and data science within insurance and provide information on emerging certification and training opportunities, such as The CAS Institute’s Certified Specialist in Predictive Analytics (CSPA) credential.

Friday, May 4

Greater Data Science: why effective data science needs human-centered design
Jim Guszcza, Deloitte Consulting

While data science and AI are often framed in technical terms, the economic success of data science projects often hinges on organizational and human factors. This session will explore what might be called a “Greater Data Science” perspective: ideas from such domains as psychology, behavioral economics, and human-centered design are often needed to bridge the gaps that exist between algorithmic outputs and improved business outcomes. This session will provide examples in which such considerations have made the difference between project success and failure; and articulate a framework to guide future applications.

Guszcza, Meyers and Monsour all serve as predictive analytics subject matter experts for The CAS Institute; Guszcza also holds The CAS Institute’s CSPA credential. To learn more about the credential, visit TheCASInstitute.org.

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