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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.

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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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Mitigating the impact of climate change in insurance and other financial services  

IBM Big Data Hub

According to Berenberg analysts , individual insurance companies faced total claims estimates of up to approximately USD 300 million. For other financial services firms outside of the insurance sector, property accepted as loan security might face climate-related risks as well.

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Finding the Right Reporting Narrative in Banking and Insurance

Jet Global

when it comes to the banking and insurance industry, things get a little different. On the insurance side, new regulatory reporting requirements are increasing the number and frequency of required calculations, revisions to financial statement presentation, and increases in financial statement disclosures. So How Did They Do It?

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How Data Science Experience improves accuracy for the insurance industry

IBM Big Data Hub

In this Q&A, IBM financial services solution architect Irina Saburova discusses an insurance use case with IBM Data Science Marketing Lead Rosie Pongracz.

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How Financial Services and Insurance Streamline AI Initiatives with a Hybrid Data Platform

Cloudera

The Danger of Black-Box AI Solutions We believe the best, most pragmatic solution for AI in financial services and insurance is what we call–“Trusted AI.” Advanced analytics processing vast data volumes to forecast market trends, currencies, stocks, and investment timings. Track market trends. Step up to comprehensive cybersecurity.

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How To Enhance Your Analytics with Insightful ML Approaches

Smart Data Collective

However, the rapidly changing business environment requires more sophisticated analytical tools in order to quickly make high-quality decisions and build forecasts for the future. For example, insurance companies use cluster analysis to detect false claims, while banks use it to assess creditworthiness. Predictive analytics.

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