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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

I am the Chief Practice Officer for Insurance, Healthcare, and Hi-Tech verticals at Fractal. The Insurance practice is currently engaged with several top 10 P&C insurers in the US, across the Insurance value chain through AI, Engineering, Design & Behavioural Sciences programs.

Insurance 250
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6 Ways AI Is Taking The Insurance Industry Into The Future

bridgei2i

6 Ways AI Is Taking The Insurance Industry Into The Future. For example, the insurance industry is witnessing a strong acceleration in the adoption and growth of AI for task automation, improvement of service quality, and data-driven decision making. Insurance is a resource-intensive field. Claim Handling. Underwriting .

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Adoption of Automated Sales & Underwriting Strategies can Transform Insurance

bridgei2i

Adoption of Automated Sales & Underwriting Strategies can Transform Insurance. The insurance industry—which, in the US alone, stands at $1.2 trillion, is seeing the volume of insurance transactions growing every year. Images 1: Challenges before insurance in the post-Corona world. click here.

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Harmonize data using AWS Glue and AWS Lake Formation FindMatches ML to build a customer 360 view

AWS Big Data

We use Amazon Neptune to visualize the customer data before and after the merge and harmonization. Overview of solution In this post, we go through the various steps to apply ML-based fuzzy matching to harmonize customer data across two different datasets for auto and property insurance.

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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes. Predictive analytics is often considered a type of “advanced analytics,” and frequently depends on machine learning and/or deep learning.

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Increasing Real-Time Efficiency Through AIOps

CIO Business Intelligence

In this way, AIOps frees up decision makers to focus on larger business issues, as well as provides them with clear visual information. While on the back end, AIOps can facilitate insurance processes, protect patient information, and minimize fraud. Using AIOps to Pinpoint and Solve Inefficiencies. Just starting out with analytics?

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Predictive Analytics: 4 Primary Aspects of Predictive Analytics

Smart Data Collective

Regardless of your industry, whether it’s an enterprise insurance company, pharmaceuticals organization, or financial services provider, it could benefit you to gather your own data to predict future events. Deep Learning, Machine Learning, and Automation.