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Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion

AWS Machine Learning - AI

Verisk (Nasdaq: VRSK) is a leading strategic data analytics and technology partner to the global insurance industry, empowering clients to strengthen operating efficiency, improve underwriting and claims outcomes, combat fraud, and make informed decisions about global risks.

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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.

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Unlocking the full potential of enterprise AI

CIO

Research from Gartner, for example, shows that approximately 30% of generative AI (GenAI) will not make it past the proof-of-concept phase by the end of 2025, due to factors including poor data quality, inadequate risk controls, and escalating costs. [1] AI in action The benefits of this approach are clear to see.

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Lessons learned turning machine learning models into real products and services

O'Reilly Media - Data

Today, just 15% of enterprises are using machine learning, but double that number already have it on their roadmaps for the upcoming year. However, in talking with CEOs looking to implement machine learning in their organizations, there seems to be a common problem in moving machine learning from science to production.

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How to know a business process is ripe for agentic AI

CIO

Does [it] have in place thecompliance review and monitoring structure to initially evaluate the risks of the specific agentic AI; monitor and correct where issues arise; measure success; remain up to date on applicable law and regulation? Feaver says.

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Resistant AI scores $16.6M for its anti-fraud fintech tools

TechCrunch

Resistant AI , which uses artificial intelligence to help financial services companies combat fraud and financial crime — selling tools to protect credit risk scoring models, payment systems, customer onboarding and more — has closed $16.6 million in Series A funding.

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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.