While investors in Asia and Europe are looking at applying AI to fill the gaps in ESG reporting, human oversight will always be necessary.
Unsupervised machine learning solutions can offer a way forward for fixed income pre-trade analysis, says Roger Barber, director, product development, quantitative research S&P Global Trading Analytics.
Even some sophisticated asset owners are wary of rushing into using artificial intelligence-based investment tools and see them as unproven for boosting returns.
Insights from a new survey by AsianInvestor and Refinitiv suggest new technologies will revolutionise how portfolio management operates in Asia Pacific in the coming years.
Artificial intelligence could revolutionise actively managed funds, but it cannot expand until regulators accept them and they build multi-year track records, say advocates.
The second-biggest insurer in Thailand has developed an in-house artificial intelligence project for the investment risk team to help identify alpha in the local equities market.
The two pension fund managers are among a growing number of asset owners using new approaches to data analysis and technology to enhance returns and cost-efficiency.
The pension fund’s ground-breaking research on artificial intelligence for portfolio management stems from frustration, its CIO tells AsianInvestor.
As part of their new advisory powers, asset managers are looking to provide a broader digital platform to compete with the disrupters.
Although AI is seen as an opportunity to tap new investment and client opportunities, it could also be a minefield if the safeguards are insufficient, a new study suggests.
A new research report argues that regional asset owners are emphasising the risks of climate change and artificial intelligence over potential opportunities.
Japan’s public pension fund is testing new technology on its investment portfolio, which is advancing its plans to add artificial intelligence into its investment management.