FOREWORD AI IN BANKING : DRIVING EFFICIENCY AND INNOVATION
“ AI and machine learning deployments are expected to mature in three main areas as we head into the new year : fraud detection , customer service , and risk and compliance ”
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As we approach 2025 , AI and machine learning are poised to continue evolving the banking sector , with leading financial players seeking to enhance operational efficiency , improve customer engagement and offer innovative financial solutions .
While the legacy banking industry has long been seen as lagging behind digital competitors – chiefly newly-formed neobanks – AI and machine learning deployments are expected to mature in three main areas as we head into the new year : fraud detection , customer service , and risk and compliance .
In this issue , we explore how banks will continue to scale up their deployment of AI and machine learning , and consider the hurdles to increased technological adoption .
In addition , we chart the course for the continued rise of digital wallets with a focus on key growth regions , while analysing the importance of data and analytics to empowering fintech and regtech capabilities .
We ’ ll also look at the asset management space heading into the new year , and offer key insights into leading fintechs Marqeta and Zilch .
Don ’ t forget to check out our Top 10 too , ranking the leading fintech decacorns on the market today .
And , as always , there is plenty more content across our website , simply head to fintechmagazine . com for more . Enjoy our latest issue .
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