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Machine learning and artificial intelligence make big data analytics possible by automating the fundamental task of identifying patterns in large amounts of data. However, for the most part, human engagement and interactions have been necessary both at the beginning of the process, to prepare data for analysis, and on the back end to apply analytic insights to real-world business conditions. The[…]

Health insurance policy changes at the federal level have captured the headlines in recent years, but in the long run some of the most profound changes to the industry have happened behind the scenes. The application of artificial intelligence and machine learning have impacted some of the industry’s most important practices.

Hard-working employees are the base of any organization’s growth and success. It is an organization's responsibility to ensure that hard work is recognized to support employees’ belief that they are an asset to the organization. Motivation and performance are directly proportional to each other and they serve as tools for the long-term success of any enterprise.

While Coordination of Benefits (COB) and fraud, waste and abuse (FWA) have been a part of the insurance industry for almost as long as there’s been an insurance industry, they’ve taken on a new level of importance for today’s health insurers. Outdated, inefficient and ineffective COB and FWA processes can result in higher payouts, increased administrative costs and decreased customer[…]

Collecting relevant data and analyzing it to identify both potential risks and opportunities is nothing new to insurance companies. In fact, insurance actuaries been early adopters of the most cutting-edge statistical analysis tools available since insurers were first writing policies on cargo transported by sailing ships and trade caravans. It was those early efforts in analytics that enabled[…]