Remove Embedded Finance Remove Fraud Detection Remove Risk Assessment
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2025 is the Year of Fintech Spring: 5 Trends to Watch at FinovateEurope

Finovate

The chill has been taken out of the industry as investors regain confidence, new startups can launch with less risk, and established players are doubling down on new technologies to meet evolving customer demands. From fresh AI applications to the new uses for embedded finance, fintech is experiencing a renewed momentum.

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From open banking to open finance and beyond: The future of financial data-sharing

The Payments Association

Open finance extends beyond payments, empowering individuals and businesses with holistic financial management tools and personalised services. Open data, in turn, enriches these offerings, enabling innovative credit scoring and risk assessment beyond traditional banking channels.

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Tech-Driven BNPL: How Sophisticated Technologies Are Reshaping the BNPL Market

Finextra

PayPal’s BNPL solution, Pay in 4, incorporates sophisticated fraud prevention technology and machine learning models to assess creditworthiness quickly. Among other things, Sezzle is using machine learning for customer risk assessment and to offer tailored financing options.

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How is Embedded Finance in the E-Commerce Checkout Impacting Traditional Payment Providers?

The Fintech Times

This April, The Fintech Times is focusing on all things embedded finance, the integration of financial services into non-financial products and services. As the space rapidly develops, we look to highlight the latest developments, initiatives and challenges embedded finance has to offer and overcome across the globe.

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10 Upcoming Fintech Webinars to Attend

Fintech News

Register Here AI in Finance: Risk Management Challenges and Opportunities May 28 2024, 18:00 CEST The financial landscape is undergoing rapid transformation, with AI playing a central role. Experts anticipate that by 2028, the majority of banking, investment, and insurance processes will be assisted or driven by AI technologies.

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Merchant-facing regulation: What merchants need to know in 2025

The Payments Association

Applicable to large organisations, the offence imposes criminal liability if firms do not have adequate fraud prevention procedures in place, even if senior leadership is unaware of the misconduct. For merchants, particularly large retailers, platforms, or multi-channel businesses, this marks a significant shift in fraud liability.

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Trade Finance: Challenges and the Role of Emerging Technology

Fintech Review

Artificial Intelligence and Machine Learning Artificial intelligence (AI) and machine learning are revolutionising trade finance by enhancing risk assessment, fraud detection, and operational efficiency. Fraud detection is another critical application of AI in trade finance.