Cognitive Machine Learning is the ability of a machine to improve its own performance through the use of software that employs artificial intelligence techniques to mimic the ways by which humans seem to learn, such as repetition and experience. Within the realm of Artificial Intelligence, machine learning systems are based in computer science verses statistics and have an emphasis on prediction. Building these ‘cognitive’ models, therefore, requires a deep understanding of business operations, data inputs and factors that would impact the model so that it can continue learning and become more accurate with the requisite data.

Synechron’s InsurTech Accelerators use Cognitive Machine Learning to combine data mapping with powerful data analysis to conduct complex calculations. To build the solutions, we’ve combined our knowledge of insurance processes and calculations to visualize risk, and predict future outcomes.

Synechron’s InsurTech Accelerators draw on complex Cognitive Machine Learning techniques to offer insurance companies advanced predictive solutions.

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