The banking industry is going through a transformation requiring banks to make data and analytics an integral part of their processes and workflows. Banking analytics! This transformation is driven in part by emerging fintech providers, who are entirely digital and built on top of cutting-edge technologies and analytics. At the same time, consumers are increasingly […]
The insurance industry, in particular the property and casualty, life and annuity, and re-insurance sectors, is fraught with very interesting data and analytics challenges. While there is vast potential for big data and advanced analytics such as Artificial Intelligence (AI) and Machine Learning (ML), data challenges often hold insurance carriers back from fully exploiting this potential.
Digital transformation is disrupting the insurance industry with the digitization of underwriting at the heart of this change. Digitalization of underwriting can also enable a retail-style to reach new demographics that often prefer a more virtual experience.
Every year, more organizations in various industries take steps to maximize and leverage big data to improve business processes and stay ahead of the competition. Furthermore, emerging technology trends continue to prompt new ways to derive insights from data.
You’ve decided to modernize your data and analytics stack and migrate analytics workloads to the ...
(This article first appeared on Medium on April 6, 2021.) The definition of “++” means incrementa...
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