Machine learning and AI have multiple largescale applications in finance & banking, and the industry has been quick to take advantage of any new technology. Utilizing Python has been a particularly fruitful approach for many finance professionals, due to the programming language’s vast capabilities.
With Python, financial analysts can process a huge amount of data for their organization. They can make accurate calculations for risk and trade that improve business operations to a level of sophistication that would not have been possible even five years ago. Major banks like Credit Suisse use Python to: detect fraud, better align their services to their customers’ needs, set up management systems, and
model smart investments.
These developments have all made a huge difference to the fundamental pillars of finance & banking.