Machine learning (ML) can crunch millions of data sets in the time it takes to withdraw cash from an ATM, making it a powerful tool for the financial services sector. It can detect fraud, automate trades, and complete banking and insurance tasks with minimal human intervention. What’s not to like?
Still, numerous challenges surround machine learning in finance. To help unpack the topic, DragonSpears interviewed Alex Muller, founder of end-to-end machine learning tool SAVVI AI. He shared his expert insights about the current state of this technology in finance and how opportunities to leverage it are beginning to open for smaller companies of all sizes.
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