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The Evolution of Insurtech and its Impact on Traditional Insurance Models

Fintech Review

We explore the innovations in personalised insurance products, the role of IoT devices in data collection and risk assessment, and the challenges faced by established insurance companies integrating new technologies. Enhanced Risk Assessment IoT data provides insurers with a more accurate understanding of risk profiles.

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Amica Mutual Insurance Leverages AI-Powered Property and Climate Risk Analytics From ZestyAI

The Fintech Times

“One of the most meaningful ways we protect our customers and their homes is to work with them to understand and mitigate risk,” said Rebecca L. .” ” With ZestyAI models, carriers are able to move from territory-based segmentation to a property-by-property risk assessment.

Risk 59
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Cindy Ho to Lead FOMO Group’s Compliance Strategy in New Appointment

Fintech News

In her new role at FOMO Group , Cindy will be essential in advancing the company’s compliance infrastructure, ensuring adherence to the diverse regulatory landscapes of the jurisdictions in which the company operates. She has previously served as the Chief Control Officer at Bank J.

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First Abu Dhabi Bank Integrates Fenergo CLM Solution to Enhance Client Onboarding and AML Compliance

The Fintech Times

Fenergo explained it plans to help First Abu Dhabi Bank to deliver end-to-end digital client onboarding and risk assessment for sanctions, AML and KYC. This will enable First Abu Dhabi Bank to straight-through-process its low-risk customers, enhancing onboarding efficiency and minimising costs.

AML 59
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FCA issues warning to firms over AML failings

Neopay

Risk Assessment weaknesses: Annex 1 firms have demonstrated inadequacies in conducting comprehensive Business Wide Risk Assessments and Customer Risk Assessments, leaving significant gaps in their AML frameworks. The post FCA issues warning to firms over AML failings appeared first on Neopay.

AML 52
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ComplyTek Introduces Advanced Transaction Screening for Instant Payments

Fintech Finance

By tailoring machine learning models to specific client groups, it improves the precision of anomaly detection and ensures compliance with regulatory standards for each segment. Post-Execution Monitoring: ClienTek ML analyzes and scores client transaction behavior post-execution.

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Shaping the Future of Finance Through Open Banking

The Fintech Times

This debate has become more complex and nuanced in the context of open finance, where aligning technology investments with key objectives such as regulatory compliance, secure data management, and enhancing customer interactions takes precedence.

Finance 115