According to BusinessWire, two out of three businesses (68%) today have internalized the use of machine learning.
This rate, which increases every year, continues to shape the future of trade and finance. There is increasing investment in artificial intelligence software that uses massive sets of market data, such as stock prices, analyst reports, and earnings forecasts, to make portfolio recommendations with machine learning. When customers invest online, personalized investment strategies can be obtained based on high accuracy rates, with parameters such as target setting or risk levels.
Because Machine Learning can analyze vast amounts of data to identify relationships between market behavior and financial performance or risk levels, it can deliver higher returns over both short-term and long-term timeframes.
Using data from millions of transactions in multiple markets around the world; automated programs can provide accurate return projections while significantly reducing human error rates. Although automation and machine learning are rapidly developing and changing the financial sector, they are still not reaching their expected potential. To properly manage investments, of course, the skills of qualified and experienced professionals will continue to have a critical impact. However, those who are prepared for the trade and finance of the future and have goals in these areas should not ignore machine learning and its power.
