Digital banking 2022: the way to customers’ hearts is through data
Digital banking has become functionally correct but emotionally devoid. Banks have to find a way to put humanity back into banking.
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big data analytics
Better together: why MLOps is key in banking platform implementation projects (...
MLOps, short for machine learning operations, is just as crucial to making banks' data science efforts a success as data models themselves. Here’s why.
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Customer intelligence: your customer base, explained
Are you guilty of running a hidden data factory? According to Thomas Redman, advisor on data quality, chances are that the answer is yes.
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Smarter banks, smarter sales: why it’s time banks took a fresh look at data
With industry after industry embracing the age of hyper-personalisation, banks are still having a hard time following suit.
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Machine learning in banking: The rise of the bots
In digital banking, embracing artificial intelligence and machine learning is more of a top priority than ever before, with customer experience at stake.
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