Asset owners need urgency on tech
Most investors aren’t ready for the enormous impact of AI, chaos theory and more on the industry. Stanford’s Ashby Monk says the first step in changing this is building networks for innovation.
The pace of change in AI models poses a significant challenge to the due diligence frameworks employed by asset owners, whose own ability to adapt is being outstripped by the technological advancements they’re being asked to assess.
Most investors aren’t ready for the enormous impact of AI, chaos theory and more on the industry. Stanford’s Ashby Monk says the first step in changing this is building networks for innovation.
Robotics and artificial intelligence supplemental to humans is where to put capital and it’s too early to worry about the rise of the automatons, ‘Mistress of Machines’ Kate Darling says.
The lessons learned from embedding ESG risk management processes into the Future Fund’s portfolio can be readily applied to helping the fund improve its risk management for technological change.
A panel tells delegates that asset managers need to make the shift from using IT to support back-office functions to applying it in their fundamental investment decision-making.
Maryland is focused on improving its under-performing absolute return portfolio, reducing the number of managers and looking to new asset classes, including emerging markets and technology.
From allocating assets in order to achieve a healthy funding status, to keeping up with technology that analyses portfolio risk, the challenges of asset owners are relentlessly evolving. For asset managers, like AQR, the key to their own evolution and success is how to be more relevant to clients. AQR keeps clients’ needs firmly within
Technology