Machine Learning in Finance – Present and Future Applications Nov 08 2019 15:53 languageMoneyScience
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Machine learning has had fruitful applications in finance well before the advent of mobile banking apps, proficient chatbots, or search engines. Given the high volume, accurate historical records, and quantitative nature of the finance world, few industries are better suited for artificial intelligence. There are more uses cases of machine learning in finance than ever before, a trend perpetuated by more accessible computing power and more accessible machine learning tools (such as Google’s Tensorflow).
Today, machine learning has come to play an integral role in many phases of the financial ecosystem, from approving loans, credit scores, to managing assets, to assessing risks. Yet, few technically-savvy professionals have an accurate view of just how many ways machine learning finds its way into their daily financial lives.
At Emerj, we’re fortunate enough to speak with hundreds of AI and machine learning executives and researchers in order to accumulate a more informed lay-of-the-land for current uses and applications.
In this particular article, we’ll explore in the following order:
- Current AI Applications in Finance, Banking, and Insurance
- Future Value of Machine Learning in Finance
- Relevant companies operating at the intersection of AI and finance
- Related Emerj executive interviews