According to McKinsey & Company’s 2020 survey on artificial intelligence (AI) adoption, more than 50 percent of respondents across a number of industries said they had adopted AI in at least one function.
Despite this, many sophisticated leading players in the wealth and investment management industry have yet to advance their strategies to incorporate AI into their front or back office functions.
A 2020 survey by Accenture of 100 strategy, digital and technology executives at wealth management firms across North America found that while most wealth managers see the opportunities AI presents, more than 80 percent remain stuck when it comes to scaling AI beyond the proof of concept stage.
It is already becoming clear that early adopters of AI — across industries — are poised to capture the greatest potential benefits AI can have for both the top and bottom line.
In this white paper, we’ll look at some of the challenges investment managers face when it comes to AI adoption and offer some insight on how to overcome them based on our work with Alberta Investment Management Corporation (AIMCo), one of the largest institutional investment managers in Canada.
Download the whitepaper to learn the various use cases for Investment Managers and the key lessons for deploying AI.