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The infrastructure of trust: building AI foundations for inclusive, explainable finance

Finextra

This is the dawn of always-on, always-fair credit decisioning. Explainability as core infrastructure AI in finance must be auditable, not a black box. To AI-ify credit and democratize access to credit for the 1.7 And with response times as fast as 0.03 And we’re just getting started.

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Avoiding AI Pitfalls in Financial Decision-Making

The Fintech Times

More recently in 2019, Apple s credit card algorithm was accused of gender bias for credit limits on its credit card. The fact is that people who give advice make mistakes every day. Hopefully, these mistakes will not be too big and will not negatively impact our clients.

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Driving Efficiency in Loans Against Mutual Funds with Tailored Loan Management System (LMS)

M2P Fintech

Lets see what Loans Against Mutual Funds (LAMF) entail and why they hold such importance in modern finance. Maintains an approved master list of securities, including ISIN, AMFI codes, fund names, and loan-to-value limits, with frequent NAV updates ensuring accurate valuations and regulatory compliance.

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

Finextra

Among other things, Sezzle is using machine learning for customer risk assessment and to offer tailored financing options. With the help of blockchain, BNPL services will also be able to raise finance. The analysis considers the transaction history in the blockchain such as cryptocurrency payments and activity on DeFi platforms.

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Top 7 Mobile Banking Features That Make Life Easier

Finextra

For banks, fintech startups, and individual users, these apps deliver efficiency and flexibility, reshaping how we interact with our finances. Proactive Payment Notifications Stay on top of your finances with timely push notifications. This precision saves users time and makes banking services more accessible.

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The End of Average: AI Is Rewriting the Rules of Digital Banking CX

Finextra

In fact, a global marketing survey found personalization is the predominant use case for AI in finance, with 44% of organizations scaling AI to tailor customer experiences, anticipate needs and boost loyalty. This kind of AI-driven engagement keeps customers continuously connected with their finances and with the bank’s app.

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Fast and Flexible, Not Furious: How Top Card Issuers Win the Race

Fintech News

This includes pricing, instalments, multi-currency accounting, credit limits, interest calculations, exceptions, fees and commissions, authentication validity periods, risk operations, workflows, and more. Instead of hard coding, they create new products using flexible parameters.