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Everyday, Artificial Intelligence (AI) is acquiring a larger space in the world. The use of AI to manage investments is becoming more common than ever before. 80% of the daily moves in U.S. stocks are AI-driven. Machines are causing sharp drops and rallies based on immediate data releases. Over the last few years, the impact from algorithms trading has become more visible.
Thanks to the advances in big data, cloud computing and faster processing speeds, many firms are getting into this new era of AI in the financial sector. To give a few examples: IBM’s Watson supercomputer has been hired to help in stock-picking for a new ETF; the world’s largest money manager, BlackRock, decided to shift its human fund managers to an automated trading pattern, which allowed them to beat indexes much more consistently than before.
The Swiss Bank, UBS AG, is implementing AI solutions, utilising robots to optimise trading strategies. Large institutions such as JPMorgan is implementing AI and predictive analytics to identify insights from the huge volumes of trading data.The program, which is based on Machine Learning, helps to analyse the best way to execute a big block trade by reading market conditions.
Flash moves in stock market at nearly 1,000 points in either direction are now the new norm. The question is, friend or foe?
Host by MPC – Malaysia Project-Management-Practitioner Community (https://www.facebook.com/mscpmp/)
Supporting Organization: Malaysia National Computer Confederation (https://www.facebook.com/mncc1967/)
Complementary to 2021 MPC members
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