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Marsh McLennan IT reorg lays foundation for gen AI

CIO Business Intelligence

One of the world’s largest risk advisors and insurance brokers launched a digital transformation five years ago to better enable its clients to navigate the political, social, and economic waves rising in the digital information age. It’s a full-fledged platform … pre-engineered with the governance we needed, and cost-optimized.

IT 122
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Marsh McLellan IT reorg lays foundation for gen AI

CIO Business Intelligence

One of the world’s largest risk advisors and insurance brokers launched a digital transformation five years ago to better enable its clients to navigate the political, social, and economic waves rising in the digital information age. It’s a full-fledged platform … pre-engineered with the governance we needed, and cost-optimized.

IT 105
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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.

Insurance 128
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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. Other document processing use cases include conducting clinical trials in life sciences, loan underwriting in retail banking, and insurance claims processing. AI at Wharton reports enterprises increased their gen AI investments in 2024 by 2.3

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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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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. Let’s dig deeper. Clustering. ?lustering

Analytics 132
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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.” Push predictive analytics to optimize operations and enhance profitability. Track market trends. Step up to comprehensive cybersecurity. Step up to advanced AI oversight.