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Making AI Pay Off in Global Banking

Global Finance

As AI is piloted and adopted across all aspects of the personal and business banking landscape, Global Finance held a Digital Banking and AI Innovation panel in London with global financial industry leaders to explore the impact of new technologies and how to incorporate them in a way that creates a win-win for all stakeholders.

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Flowcast Introduces Tilfull For SMB Credit Risk Modeling

PYMNTS

Artificial intelligence (AI) credit risk model provider Flowcast has unveiled the Tillful platform that provides quick, complimentary and transparent credit scores in addition to access to credit offers, according to a Wednesday (Oct. 14) announcement.

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GCC Banking’s New Techno-Frontier

Global Finance

Indeed, GenAI, with its ability to collect and interpret financial data on a vast scale, could force some of the Arabian Gulf region’s biggest banks to rethink their already costly digital banking strategies. AI algorithms analyze vast amounts of data to assess credit risk, detect anomalies, and prevent AML fraud,” Saxena notes.

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FinTech Jeff Aims To Boost Lending To The Underbanked In South Asia

PYMNTS

As it stands, 90 out of 100 people looking for a loan are likely to get rejected, Niparts said, because the banks lack the financial data needed to calculate the risk and were using very outdated methods trying to obtain it. Jeff is positioned as your new best friend to find the best financing offers,” he said.

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Top 8 AI Uses in Finance Embraced by FP&A Leaders

The Finance Weekly

AI is , transforming the finance sector, especially in financial planning and analysis (FP&A). AI integration in their FP&A function brings various positive outcomes: AI algorithms boost efficiency by swiftly handling large amounts of financial data, reducing the , risk of errors , and enhancing data integrity.

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Using Predictive Analytics in Risk Management

CFO Talks

Financial Risk Forecasting Predictive models can analyse your company’s financial data—such as revenue patterns, cash flow, and expenses—to identify potential financial risks. Start by leveraging data from your accounting systems and working with your finance team to create simple forecasting models.

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Deep Dive: Digital-First Banks Harness The Power Of Data Analytics

PYMNTS

Every interaction — from ATM withdrawals to loan applications — provides FIs with valuable data about customers’ financial lifestyles. Banks can even harness external regulatory, trading and social media engagement data, all of which can be processed and analyzed to benefit their operations.

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