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Insurance Dashboard Design: KPIs, Analytics & Examples

FineReport

Insurance companies provide risk management in the form of insurance contracts. Industry-specific, comprehensive, and reliable data management and presentation have become an issue of increasing concern in the insurance industry. The insurance dashboard is one of the most commonly used data display methods.

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Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

Amazon Redshift features like streaming ingestion, Amazon Aurora zero-ETL integration , and data sharing with AWS Data Exchange enable near-real-time processing for trade reporting, risk management, and trade optimization. Database cluster – For this solution, we use an Amazon Aurora MySQL-Compatible Edition 8.0 version cluster.

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BI Data Lineage Solutions: Your Trusted Guide For Success

Octopai

As a core principle of data management, all BI & Analytics teams engage with data lineage at some point to be able to visualize and understand how the data they process moves around throughout the various systems that make up their data environment. They then relayed that information to insurance companies.

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3 areas where gen AI improves productivity — until its limits are exceeded

CIO Business Intelligence

At Gallagher, a global insurance brokerage, risk management, and consulting services firm, executive search practice managing director Tom Wilson says his team uses gen AI for research and written communications. Artificial Intelligence, CIO, Generative AI, IT Leadership, ROI and Metrics, Software Development

IT 128
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Interview with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity

Corinium

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. I am head of Products here, which comprises of R&D, Product Management and Global Customer support.

Insurance 150
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Preparing for the EU AI Act: Getting governance right

IBM Big Data Hub

” European Parliament News The EU AI Act in brief The primary focus of the EU AI Act is to strengthen regulatory compliance in the areas of risk management, data protection, quality management systems, transparency, human oversight, accuracy, robustness and cyber security.

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Machine Learning Project Checklist

DataRobot Blog

Data scientists need to understand the business problem and the project scope to assess feasibility, set expectations, define metrics, and design project blueprints. If there is no forward-looking predictive component to the use case, it can probably be addressed with analytics and visualizations applied to historical data.