Quality decision making in the shortest possible time is a key aspect of competitiveness, or even survival, in the modern world, particularly when it is associated with high risk. The huge amount of data available and the access to this makes it possible for even more inputs into decisions, which slows down the process considerably, particularly when judgement is required. The advent of algorithmic based technology has contributed enormously to analysing large amounts of data in a systematic manner and producing outputs which would be humanly impossible in the equivalent time taken.
Fintechs have incorporated algorithmic technology into their solutions especially for applications that use large amounts of historical and real time data, sometimes along with artificial intelligence and machine learning.
Support asset managers, professional investors, pension funds and banks investing in stocks (B2B), using sophisticated algorithms to generate a stock portfolio with just a few clicks. Fintech Themes: Wealth Tech / Robo Advisors, Trading Technology
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