Why Retail Banks Need NoSQL for AI-Powered Apps

72% of customers expect digital banking transactions to be real time. 89% of consumers rely on mobile banking apps – emphasizing the need for fast user-friendly applications. Modern NoSQL databases incorporate multiple data access methods, making them effective with AI-powered applications. Read on to get AI-ready.

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AI data strategy for retail banking

Slow applications lose users. A flexible multipurpose database is foundational to high performance – and to building AI-powered applications that offer personalized customer experiences.

AI strategy requirements

The success of AI is dependent on how well one understands and manages the underlying data. Hence, AI strategy should be an extension of your data strategy.

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AI strategy execution

Explore retail banking considerations to building a robust AI architecture, navigating an evolving AI ecosystem, and establishing effective AI governance practices.

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Retail banking solutions

Common applications for retail banking companies include fraud detection and scoring, e-payments, and customer 360.

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“For our customers, the loss of $100 can mean the difference between a pleasant holiday and frustration. Couchbase has never failed us or our customers.”

Dmitri Lihhatsov, Financial Crime Product Owner, Revolut

96% of fraudulent transactions caught

$3M saved

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AI-powered apps, vector search,
and RAG

Coding with AI: vector search and RAG

Learn how to integrate AI with LangChain and Couchbase vector search to solve real-world problems and simplify complex coding tasks.

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Vector search at the edge

Ensure search results are always available, even in areas with no internet connectivity.

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Improve LLM accuracy

One method to improve the data accuracy of large language models is retrieval-augmented generation (RAG). How does RAG work?

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Providing fast, secure payment processing for Finservs and their customers

Wibmo, a PayU subsidiary and India’s largest authentication service provider, powers secure digital payments across emerging markets. The company chose Couchbase to deliver sub-second response times while processing over 4 million transactions per day, scale seamlessly for growth and demand spikes, and support 80% of banks in India.

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