Intense competition, fee pressures and the resulting need for differentiation and a lower operational cost curve are now driving investment firms to figure out how AI and machine learning can improve many aspects of their businesses—from decision support and trade execution through to back-office reconciliation. But artificial intelligence (AI) initiatives are still a big bet to make and business cases can be hard to sell due to steep learning curves and uncertain synergies and gains.
This Linedata survey research, conducted in collaboration with WatersTechnology in March 2019, identifies business functions within the investment management industry that are either already underpinned by AI and machine learning technology, or that practitioners believe will benefit from the implementation of such technologies. It also samples the views of respondents on the opportunities and challenges associated with embracing these technologies, and how firms are ‘selling’ them to executive committee members by way of straight implementations or via proof of concept projects.
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