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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.

Analytics 250
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Where CIOs should place their 2025 AI bets

CIO Business Intelligence

times compared to 2023 but forecasts lower increases over the next two to five years. Deloittes State of Generative AI in the Enterprise reports nearly 70% have moved 30% or fewer of their gen AI experiments into production, and 41% of organizations have struggled to define and measure the impacts of their gen AI efforts.

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18 Examples Of Big Data Analytics In Healthcare That Can Save People

datapine

By utilizing key performance indicators in healthcare and healthcare data analytics, prevention is better than cure, and managing to draw a comprehensive picture of a patient will let insurance provide a tailored package. with the impossibility to communicate properly. 2) Electronic Health Records (EHRs). million in fraud in just a year.

Big Data 364
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Top 15 Warehouse KPIs & Metrics For Efficient Management 

datapine

A Warehouse KPI is a measurement that helps warehousing managers to track the performance of their inventory management, order fulfillment, picking and packing, transportation, and overall operations. These powerful measurements will allow you to track all activities in real-time to ensure everything runs smoothly and safely.

Metrics 217
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How Financial Services and Insurance Streamline AI Initiatives with a Hybrid Data Platform

Cloudera

But these measures alone may not be sufficient to protect proprietary information. 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.”

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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. It is frequently used for economic and sales forecasting.

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Expectations vs. reality: A real-world check on generative AI

CIO Business Intelligence

For every optimistic forecast, there’s a caveat against a rush to launch. And commercial insurance is a vertical Docugami CEO Jean Paoli says has been an early adopter, including statements of value, certificates of insurance, as well as policy documents with renewal dates, penalties, and liabilities. What are you measuring?