Description: As the insurance industry continues to evolve due to a pandemic and rapidly changing economic and regulatory conditions, the role of data scientists and actuaries has become increasingly important. In an interview with the Atidot data science and actuarial team, we discuss what it is like to work at an InsurTech, how data scientists and actuaries can collaborate, and look at some concrete technical examples of where the innovation is having an impact. This article explores what collaboration can look like and how the role of data science and actuary may evolve in the InsurTech industry in the future.

Description: Report on the SOA's 1st Annual LTC Operations and Technology Benchmark Survey. Its goals were to provide data to support the development of time and cost benchmarks for LTC operations, identify the most pressing operations and technology issues, and gain insights into the technologies that are being used to administer Long Term Care business.

Description: This article discussed the NEAT family of neural network algorithms. NEAT automatically determines the number of hidden neurons, as well as their structure. Additionally HyperNEAT can scale to very large problem domains.

Description: Review of a research project, co-sponsored by the SOA, which examined 83 organizations and over 150 programs that measure the quality and efficiency of hospitals and physicians.

Description: Natural Language Process (NLP) techniques can be used to find insights in large unstructured data sets and Word Embeddings are pervasive on a wide spectrum of NLP applications. These word representations improve downstream tasks such as Sentiment Analysis, Recommender System, and Topic Modeling. Learn how NLP transforms the Insurance Industry; and how word embeddings and pre-trained models improve the effectiveness and performance of NLP applications. NLP is increasing in importance for insurance companies. Additional application examples are available in session 36.

Description: You really can have it all: readily available and relevant information derived from consistent and understood data. Getting at the Truth requires a good datawarehouse design and an appropriate business data model. Add a powerful and flexible Web–based analytical interface to get at the data and success in the pursuit of Truth will happen.

Description: Meet Nathan Pohle. Nathan is part of a new wave of actuaries bringing diverse perspectives to change the game in life insurance. Armed with an MBA and unique analytics experience in the sports industry, Nathan is harnessing key learnings from Silicon Valley to help life insurance companies tap into the power of predictive analytics in new ways.

Description: This article discusses the actuary's role in project management including analysis, design, implementation and quality assurance.

Description: October 2015 issue of CompAct, the technology section's member benefit newsletter.