Data science good value for investors
A case study looking at University of California Investments' reporting of illiquid asset valuations shows how institutional investors can use data science to improve operational efficiency.
An investment banking expert has warned the CalPERS board of the risks inherent in AI, emphasising the importance of investors understanding how their exposure to AI is at risk because of Chinese competitors.
A case study looking at University of California Investments' reporting of illiquid asset valuations shows how institutional investors can use data science to improve operational efficiency.
Is it time to replace living portfolio managers with software? Probably not but AI will force people to focus on providing what machines can't. Check out where humans still outperform technology.
An Oxford fellow in economics said computers’ upgrades in areas such as judgement and empathy would soon allow them to do many tasks now thought to be for humans only – even some clergy duties.
APG is one of the few large asset owners putting AI to work effectively in its investment process. Amanda White looks at how it is integrating machine learning and more to enhance decisions.
Portfolio-level views of risk and alpha-generating strategies help explain why the State of Wisconsin Investment Board says its technology refresh has already paid for itself.
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.
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