Artificial intelligence, or cognitive computing, offered a glimpse at a future where machines could essentially ‘learn’ and improve without the need for explicit programming at every step along the way. Machine learning is a subclass of AI whereby a computer can take large amounts of data and use it to begin to recognize patterns and, within a set of specific parameters, make predictions on new data—prices within the stock market, for example. It’s worth emphasizing that these predictions can take into account variables that people would struggle to apply.
As financial institutions look to be empowered through machine learning, they should first acknowledge the benefits, challenges, and considerations involved. This guide is essential reading for anyone involved in the financial services industry, from those who are beginning to explore the potential of these tools, to those looking to expand and maximize their use.
We’ll present an overview of the technologies you need to know about, the resources and communities on-hand to offer guidance, and we’ll explore a case study highlighting the process of implementing machine learning.
Download the insideHPC Special Report now that explores how machine learning is advancing the financial services industry.
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