Almost every financial decision requires some level of risk. For years, bankers had to rely on simple calculations and human judgment when making multi-million dollar decisions. Now, computers can analyze large data pools and spot market trends exponentially faster.

As our world becomes more and more digitized, cyber-security is of a greater concern than ever.  Good data sets can help machine learning programs more carefully watch and more consistently detect true cyber-attacks, reducing the number of false hits and minimizing potential losses.

Any commercial real estate company would say that a positive tenant experience is one of their top priorities, and digital additions to their locations are some of the best technologies available. AI can assist residents in any way from easing the process of booking meeting rooms to generating reports on the how and why of time people spend shopping to investors make more informed leasing decisions.

As machine learning improves banking systems, the statisticians who currently create trading algorithms and search for profitable opportunities will be replaced. The computers will then create investment strategies and handle financial planning, while human capital is freed up work on improving the model while simultaneously spending more time in areas such as client relations.