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EvolutionIQ secures $21M to streamline insurance claims processing with AI

TechCrunch

Processing claims at scale presents a challenge for insurers, particularly where the claims entail factors like complex underlying health conditions. A growing cohort of startups including Alan, Tractable and Snapsheet offer tools to help customers navigate through the insurance claims process. ” Accelerating insurance claims.

Insurance 233
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Machine Learning Project Checklist

DataRobot

Download the Machine Learning Project Checklist. Planning Machine Learning Projects. Machine learning and AI empower organizations to analyze data, discover insights, and drive decision making from troves of data. More organizations are investing in machine learning than ever before.

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Use of AI in Transforming Insurance Underwriting

Newgen Software

To evolve into the insurer of tomorrow, insurance has to transition from its reactive state of ‘identify and repair’ to a proactive ‘foresee and prevent’ approach. AI isn’t new in insurance with various use cases evident in processes like data forecasting, risk modeling, and claims handling.

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Automated Claims Processing: Using RPA and Machine Learning to Manage Insurance Claims

Altexsoft

The insurance industry is notoriously bad at customer experience. In the last few years, Chinese tech giants have been making massive strides at becoming the center of insurance innovation. To compete, insurance companies revolutionize the industry using AI, IoT, and big data. Not in China though. Why automate claims?

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How Machine Learning is Used in Finance and Banking

Exadel

Sophisticated, intelligent security systems and streamlined customer services are keys to business success. The banking landscape is constantly changing, and the application of machine learning in banking is arguably still in its early stages. Machine learning solutions are already rooted in the finance and banking industry.

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AI on the mainframe? IBM may be onto something

CIO

Rather than pull away from big iron in the AI era, Big Blue is leaning into it, with plans in 2025 to release its next-generation Z mainframe , with a Telum II processor and Spyre AI Accelerator Card, positioned to run large language models (LLMs) and machine learning models for fraud detection and other use cases.

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Machine Learning: Unlocking the Next for Insurers

Coforge

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