Remove Big Data Remove Fraud Remove Operations Remove Risk Management
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Machine Learning and AI ‘Crucial’ to Fighting Fraud, Research Shows

Banking Exchange

Online payment fraud could cost companies more than $200 billion over four years, finds Juniper Research Risk Management Technology AML & Fraud Cyberfraud/ID Theft Compliance/Regulatory Operational Risk Big Data Security Online Cards BSA/AML Feature3 Feature Financial Research Payments.

Fraud 97
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Uncovering the Hidden Efficiencies in Loan and Deposit Operations

Gonzobanker

Addressing common loan and deposit operations process inefficiencies can help financial institutions deliver optimized value to customers and stockholders. In recent years, many financial institutions have been focused on improving their digital delivery capabilities, often at the expense of their operational groups.

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OCC keeps focus on bank/fintech partnerships

CFPB Monitor

Mr. Hsu also raised concerns about unknown risks or “nasty surprises” arising out of bank-fintech arrangements. This approach is expected to enable a clearer focus by the OCC on risks and risk management expectations.

Fintech 146
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Fighting Fraud Through a Customer-Centric Lens

ABA Community Banking

Bankers have a powerful, yet underutilized, tool at their disposal: machine learning data analytics Feature Technology Risk Management AML & Fraud Tech Management Operational Risk Cyberfraud/ID Theft Big Data Feature3 Fintech.

Fraud 40
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Why fragmentation of the global data supply chain poses risks to financial services

BankUnderground

But potential fragmentation of the global data supply chain now poses a novel risk to financial services. In this blog post, we first discuss the importance of data flows for financial services, and then potential risks from blockages to these flows. Big Data and financial services. 15 of this report ).

Data 108
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Will AI define the future of banking?

NCR

There are many areas of technological innovation that are having a big impact on how the banking industry operates. The report noted that financial institutions can use AI to gain advantages such as greater efficiency, more effective risk management, better fraud detection and improved customer service.

Fraud 51
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Coronavirus and the Golden Age of AI - Will Lansing Q&A

FICO

Explainable AI ensures that we know how the model operates, and we can provide reasons and explanations as to why a decision was made at an individual level. AI and Big Data has spawned two new job descriptions: chief analytics officers (CAOs) and chief data officers (CDOs). by Nikhil Behl.