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AI Becomes the Banker: 21 Case Studies Transforming Digital Banking CX

Finextra

For example, among banks that have implemented GenAI, 88% have seen improvements in risk management and compliance, and 85% report time/cost savings. Indeed, 64% of finance leaders report using AI for fraud detection and risk management in their institutions. These are significant positive outcomes.

AI
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Banking on Intelligence: The Global Sprint to AI Maturity in Finance

Finextra

On the risk and operations side, common uses include fraud detection, anti-money-laundering pattern detection, credit risk scoring and trading optimization. finance leaders cite fraud and risk management as areas in which they use AI. banks face challenges in AI adoption, such as regulatory compliance and risk management.

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

Finextra

Afterpay is using big data and AI to ensure a smooth user experience and improved risk management. Among other things, Sezzle is using machine learning for customer risk assessment and to offer tailored financing options. The company claims that the bot does the work of seven hundred full-time employees.

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ForexRova Brings Personalization to Gold Trading with Multi-Strategy

Fintech Review

Unlike traditional trading bots with rigid parameters, ForexRova adapts in real-time, dynamically shifting between aggressive, trend-following strategies and conservative, risk-managed setups based on market conditions, volatility, and trader preferences.

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Avexbot Brings Institutional-Grade AI Analytics to GBP/USD Trading

Fintech Review

As demand grows for intelligent tools that refine trading strategies while maintaining user control, Avexbot delivers on this demand, balancing automation with trader oversight through customizable risk management settings, dynamic stop-loss adjustments, and strategy fine-tuning.

AI
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Amazon (AMZN) Analysis: Performance, Market Dynamics, and AI-Driven Insights as of June 17, 2025

Finextra

However, inverse ETFs carry higher risks due to daily rebalancing, which can lead to compounding losses in volatile markets. Traders must employ disciplined risk management, using tools like stop-loss orders, to mitigate these risks.

AI
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Bank of Thailand to Test Programmable Payments in Enhanced Sandbox

Fintech News

Daranee Saeju, Assistant Governor of Payment System Supervision and Financial Service User Protection at the Bank of Thailand (BoT) , announced the launch of a new initiative to test programmable payment systems under the Enhanced Regulatory Sandbox framework. Applications are open from 13 June 13 to 13 September 2024.