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AI Regulations for Financial Services: OCC

Perficient

The economic risks of AI to the financial systems include everything from the potential for consumer and institutional fraud to algorithmic discrimination and AI-enabled cybersecurity risks. Market making eventually transitioned to phone-based systems, with computers providing real-time information, valuations and forecasts for traders.

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6 Digital Banking Trends for 2025

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Digital transformation will remain a powerful force, with advancements in AI and machine learning enabling unparalleled operational efficiencies and hyper-personalized customer experiences. In 2025, AI will play a pivotal role in customer service, fraud detection, risk management, and personalized financial advice.

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Geolocation Puts A Pin In Anti-Fraud Solutions

PYMNTS

With digital transactions and eCommerce soaring during the pandemic, the rate of increasingly sophisticated fraud has also risen. Unlike the crypto markets, Wingert said the banking and payments industries continue to be slow to adapt to the challenges of KYC and fraud prevention. In fact, a recent GeoGuard survey found that U.S.

Fraud 270
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Kount Offers Anti-Fraud Product Aimed At Insurance Industry

PYMNTS

Idaho-based Kount has released a new product aimed at preventing insurance fraud as the industry increasingly turns to digital, and even mobile, setups. Kount added that this means its business customers “are able to optimize marketing and sales efforts, personalize customer experiences, and reduce the time spent vetting prospects.”.

Fraud 234
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Equifax Strikes Deal To Buy Kount

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Equifax has inked a deal to purchase artificial intelligence (AI)-powered fraud prevention and digital identity technology provider Kount for $640 million. Kount’s staff members will become a part of Equifax’s United States Information Solutions (USIS) business unit and will still be based in Boise, Idaho, according to a Friday (Jan.

Idaho 295
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Unlocking the Power of Azure Integration Services for the Financial Services Industry

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High-Impact Examples in the Financial Services Industry Real-Time Fraud Detection and Prevention Fraud detection is critical in the financial industry. For example, a bank can integrate its transaction processing system with Azure Machine Learning to instantly identify and flag suspicious activities, reducing fraud risk.

Industry 467
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Deep Dive: How Biometrics And AI Are Improving Banks’ Customer Experiences

PYMNTS

This means banks must make security an engaging part of their customer experiences rather than a clunky friction point, and many are doing so by turning to AI and biometric authentication tools. While passwords are often arbitrary and static, biometric authentication methods are based on customers’ personal data.