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

Finextra

In a late 2024 cross-industry survey by SAS, banking and insurance executives reported the highest current usage of generative AI—60% in each sector are already using GenAI in some capacity, the top rate among industries. A global survey found that 98% of banking leaders either use generative AI now (60%) or plan to within two years (38%).

AI 114
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Banking on Intelligence: The Global Sprint to AI Maturity in Finance

Finextra

Use Cases and Impact U.S. banks are applying AI in a range of use cases. On the risk and operations side, common uses include fraud detection, anti-money-laundering pattern detection, credit risk scoring and trading optimization. In fact, 91% of bank boards have endorsed GenAI projects as of late 2023.

AI 69
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What is RAG in fintech and how financial services are using it with LLMs to power AI innovation

Finextra

98% of their advisory teams use it to search over 100,000 internal documents and research reports to help them quickly find specific information in thousands of documents, summarise research, and answer client queries. Last year, Morgan Stanley, for example, worked with OpenAI to build a RAG-driven AI assistant.

AI 59
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The End of Average: AI Is Rewriting the Rules of Digital Banking CX

Finextra

In fact, a global marketing survey found personalization is the predominant use case for AI in finance, with 44% of organizations scaling AI to tailor customer experiences, anticipate needs and boost loyalty. Second, these bots leverage AI to handle multi-step requests that previously might have required an employee.

AI 71
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What Does the Future Hold for AI in Fintech?

The Fintech Times

The advantages of such bots are as follows: round-the-clock support (which cannot be done by an employee), implementation of personalised banking services and offers, as a chatbot can send individual offers to each customer, thus improving the customer experience. “Those AI agents can collaborate with each other or the human expert.

AI 78
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Top 9 Docsumo alternatives for data extraction

Nanonets

IQ Bot AI-powered document processing with learning instances. Automation Anywhere IQ Bot Automation Anywhere IQ Bot is a document AI platform focused on financial decision-making within the broader Automation Anywhere RPA ecosystem. Excels in compliance and records management. Strong enterprise capabilities. 39 Yes 4.6

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Failed Automation Projects? It’s Not the Tools - It’s the Data

Nanonets

In theory, AI agents and RPA bots could handle countless tasks; in practice, they fail when fed messy or unstructured inputs. A typical RPA bot is essentially a rules-based engine (“digital worker”) that follows explicit instructions. In other words, an RPA bot needs a clean table of data, not a pile of documents.