There’s no doubting the value of both traditional AI and generative AI to retail banking. But how long does it take to realise that value?
Bringing AI-powered products and systems into production can be a long and tortuous path and that “go-live” date is often pushed further off than we would like.
With first-hand experience of AI development at many top retail banks, NTT DATA and Google have learned not only how to keep projects on track but to accelerate their progress.
To illustrate how we can help, we’ve outlined the five key factors that can slow up the implementation of AI – and what retail banks can do to get to market faster.
Ebook - 30 min read
Accelerate Value in AI in Retail Banking
The key factors that are slowing down AI and GenAI adoption – and how to overcome them.
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