Using GenAI to multiply customer insights from…

Generative AI is not just a trend; it’s the future. And the emergence of generative AI into the fore has prompted the era of the ‘intelligent bank’. As this gathers pace, banks are seeking new ways to harness generative AI’s potential to revolutionise the way they operate, function, and serve customers and society.

The most valuable data a bank possesses is its transactional data. To remain competitive in the era of the intelligent enterprise, banks must strategically invest in developing an enriched, contextual understanding of their customer transaction data and enhance their organisation's capability to maximise value from generative AI applied at scale.

This report, co-authored with Bud Financial and including insights from Google Cloud, DataStax, and Zup, shares ways you can garner next-level insight on your customers to deliver business value at scale.

Report

Multiply customer insights from your transaction data

Understand the foundation you need to use GenAI to build a picture of your customer.

Deliver business value through GenAI

Alongside applications of generative AI with transactional data, the role of data enrichment in banking, and merchant identification and categorisation, our report outlines five fundamentals to delivering business value at scale using generative AI:

Governance that builds trust
How to build a sustainable generative AI muscle
A rapid path-to-production approach
Education and culture change
Multiplying value through partnerships.

The effective use of GenAI hinges on the breadth, depth and quality of a bank’s data; and the most valuable data that a bank owns is its customer transactions.”

Richard Berkley Financial services AI and data expert, PA