Why Institutional Investors Need Advanced AI

Artificial intelligence and machine learning are not just buzzwords but critical building blocks for software, so much so that automated solutions are fast becoming fashionable. While we are experiencing a great deal of AI disruptions in several industries, the movement is facing a bit of resistance in the investment landscape. Very few asset management companies are ready to fully embrace AI and machine learning, or ML, systems without subjecting them to traditional quant models that have mostly restricted their effectiveness. In this article, we will explore the status of AI in the investment landscape and discuss how institutional investors could get more out of it. The power of advanced AI lies in its apparent capability to thoroughly explore data, find recurring patterns, and make intelligent decisions at a high intensity. If we go by this definition, then there is little or no room for human inputs.