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

Finextra

Within this article, we analyze how AI’s adoption in 2024 impacted key areas of digital CX, highlighting global trends as well as specific insights from major markets like the US and UK. Overall, banks that deployed AI at scale in 2024 reported significant improvements in digital channel usage and customer feedback.

AI
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The End of Average: AI Is Rewriting the Rules of Digital Banking CX

Finextra

AI didn’t just automate services—it began shaping intimate, context-aware journeys that feel less like banking and more like a personal concierge for your financial life. Banking, Tailored: Personalized Banking Experiences AI turns one-size-fits-all into one-size-fits-one, driving double-digit revenue and CSAT jumps. The result?

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AI x Payments: From Fraud Detection to Hyperpersonalised Checkout

Finextra

In a world of instant expectations, rising digital risk, and hypercompetition, AI is not a future concept,it’s the present differentiator. Here’s how AI is redefining payments at every layer of the stack. Behavioural biometrics distinguish real users from bots or synthetic identities.

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

Finextra

Across the globe, countries are embracing AI at vastly different speeds, with Asia and the Middle East taking the lead in enterprise adoption, while the U.S. and UK scale up their generative AI pilots. and UK scale up their generative AI pilots. AI adoption—including generative AI—varies significantly by country and region.

AI
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The growing threat of AI-enabled fraud

Neopay

How GenAI is changing the fraud landscape AI-driven fraud is not a new concept, but the accessibility and capabilities of GenAI have dramatically expanded fraudsters’ arsenals. Phishing attacks: AI-generated content enables fraudsters to create highly personalised and convincing phishing emails that bypass traditional detection methods.

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What is RAG in fintech and how financial services are using it with LLMs to power AI innovation

Finextra

And to organise, analyse and then use that data, they are increasingly turning to AI. One AI-driven approach to unifying, understanding, structuring and then accessing stores of internal data is the LLM (Large Language Model). Last year, Morgan Stanley, for example, worked with OpenAI to build a RAG-driven AI assistant.

AI
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What Does the Future Hold for AI in Fintech?

The Fintech Times

A couple of years after its initial boom, artificial intelligence (AI) still remains a huge buzzword in the fintech industry, as every firm looks at a new way of integrating the tech into its infrastructure to gain a competitive edge. The role of the CFO, for example, will be transformed over the next decade, thanks to AI.

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