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A Bank Automation Summit Preview: Key 2023 Banking Automation Trends

Perficient

An example is the know your customer (KYC) process in which intelligence agents can sense an event using natural language processing (NLP), machine learning (ML), robotic process automation (RPA)/digital process automation (DPA), query data, proactively make a decision, and act without approval while continuing to learn and improve.

Trends 474
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AI and generative AI use cases in banking: 6 real-world examples

Abrigo

A common example of a generative AI-driven tool that many in the financial services industry are familiar with is ChatGPT, which can produce coherent and diverse texts on various topics. An example of a use case for predictive AI is Signature Bank of Georgia ’s addition of AI-driven check fraud detection software that finds fraud faster.

Examples 221
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Enforcing AML/KYC Compliance When Legal Precedent Does Not Apply

PYMNTS

The technology itself is not new — many consumers already use biometric authentication in their daily lives, with 80 percent of consumers using their fingerprints to unlock their smartphones, for example. Digital Innovation, Legal implementation. The rising demand for such tools also led to increased investments in the technology.

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Deep Dive: How FIs Are Looking Beyond Traditional Know Your Customer Data To Spot Synthetic ID Fraud

PYMNTS

Fraudsters could pair one individual’s Social Security number with another’s passport information, for example — and these IDs can include some fake details as well. . More than 471 million consumer records were exposed in 2018, for example, giving fraudsters ample access to information with which to launch their schemes. .

Fraud 132
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How Banks Are Using AI, ML To Fight Account Opening Fraud

PYMNTS

billion customer records — occurred in the first six months of 2019, for example. AI, ML Innovations Necessary to Stop Account Opening Fraud. The threat of a data breach is now an ever-present part of life for customers and the banks that serve them. billion stolen credentials.

Fraud 144
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RegTech: How investment trends are impacting the industry—and how the ecosystem can work with the regulator

Accenture

Now—given that background, employees in these areas often have a deeper knowledge base and clearer career track in industry (and salary expectations) than perhaps people who have founded traditional Fintechs. There’s a risk that fewer start-ups will enter the market; so we think the area would benefit from a degree of nurturing.

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RegTech: How investment trends are impacting the industry—and how the ecosystem can work with the regulator

Accenture

Now—given that background, employees in these areas often have a deeper knowledge base and clearer career track in industry (and salary expectations) than perhaps people who have founded traditional Fintechs. There’s a risk that fewer start-ups will enter the market; so we think the area would benefit from a degree of nurturing.