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How Data Analytics Is Changing The Insurance Industry

Smart Data Collective

The insurance industry is based on the idea of managing risk. To determine this risk, the industry must consult data and see what trends are evident to draft their risk profiles. Advanced Analytical Processes in Insurance. Insuring for the Twenty-First Century. Seeing Into the Future.

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Are enterprises ready to adopt AI at scale?

CIO Business Intelligence

Whether it’s a financial services firm looking to build a personalized virtual assistant or an insurance company in need of ML models capable of identifying potential fraud, artificial intelligence (AI) is primed to transform nearly every industry.

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How Zurich Insurance Group built a log management solution on AWS

AWS Big Data

This post is written in collaboration with Clarisa Tavolieri, Austin Rappeport and Samantha Gignac from Zurich Insurance Group. Zurich Insurance Group (Zurich) is a leading multi-line insurer providing property, casualty, and life insurance solutions globally.

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 7: The Impact of COVID-19 on Financial Services & Risk Management

bridgei2i

Episode 7: The Impact of COVID-19 on Financial Services & Risk. Management. The Impact of COVID-19 on Financial Services & Risk Management. Listen Now Insurance is among the most-affected industries of the novel Coronavirus. PODCAST: COVID 19 | Redefining Digital Enterprises. Listening time: 12 minutes.

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4 Ways to Better Manage and Govern Financial Services and Insurance Models

Domino Data Lab

So the spotlight is on model risk management (MRM) and governance (MRG), two related critical processes for financial services and insurance companies, and the importance of these two disciplines is only expected to grow.

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Commercial Lines Insurance- the End of the Line for All Data

Cloudera

I’ve had the pleasure to participate in a few Commercial Lines insurance industry events recently and as a prior Commercial Lines insurer myself, I am thrilled with the progress the industry is making using data and analytics. Another historic example is crop and livestock insurance in Germany in the 1700s.

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The synergy between UEM and medical device risk management

IBM Big Data Hub

Unified endpoint management (UEM) and medical device risk management concepts go side-by-side to create a robust cybersecurity posture that streamlines device management and ensures the safety and reliability of medical devices used by doctors and nurses at their everyday jobs.