Download W.UP’s white paper, and find out what banks can learn from other industries and competitors about implementing AI and ML-driven technologies, and how to unlock their power in sales and analyticsI'm ready to download
AI is expected to contribute a staggering $15.7 trillion to the global economy in 2030, more than the current output of China and India together. In fact, it already plays a key role in boosting productivity, cutting costs and understanding customers in many sectors from retail to manufacturing. In banking, the race is definitely on: big techs and digital-only banks are entering the financial services landscape by the dozen and they’re all going after the big prize, sales. Is it any wonder that 40% of bankers plan to invest in embedded AI solutions over the next three years?
When it comes to the benefits and opportunities AI offers, the list is endless. About 74% of the organizations that implemented AI have increased sales of new products and services by at least 10%. One European bank, for example, started contacting customers proactively using predictive modelling and achieved 62% better sales results than with traditional campaigns. This white paper walks you through how to start the implementation process, what low-hanging fruits to reach for and how to maximise your return on investment.
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