Aussie fund managers face machine learning challengesBY KARREN VERGARA | TUESDAY, 25 SEP 2018 12:26PMAustralia's investment management firms lag behind Japan when it comes to using machine learning in investment strategies, a new Bloomberg survey shows. Related News |
Editor's Choice
Mulino brings New Class of Advisers to life, guarantees fairer CSLR funding
|Assistant treasurer Daniel Mulino will forge ahead with the New Class of Advisers (NCAs) as part of highly anticipated Delivering Better Financial Outcomes (DBFO) reforms and laid out a blueprint of how the Compensation Scheme of Last Resort (CSLR) will be fairer for financial advisers.
Munro Partners to acquire GSFM
|Munro Partners will acquire GSFM, the Australian investment fund management affiliate of CI Global Asset Management, in a deal designed to strengthen its local distribution capabilities.
Treasury consults on foreign investment framework reforms
|Treasury has opened a consultation to review existing conditions required for foreign investment approvals in Australia.
Australians struggle to navigate super and age pension divide
|Australians are approaching retirement with growing uncertainty about how superannuation and the Age Pension will work together, with new research pointing to gaps in both preparedness and confidence.
Further Reading
Products
Featured Profile

Andrew Gregory
CHIEF ADVICE OFFICER
UNISUPER
UNISUPER
After 25 years, Andrew Gregory remains motivated by the impact financial advice can have on Australians' lives. As UniSuper's chief advice officer, he is not slowing down on any of his current ambitions. Matthew Wai writes.







Hi Karen, as an industry consultant whose sole engagement is to market Machine Learning/AI to the Australian Asset Management community I could not agree more with your comments above and indeed it is concerning. As Australian managers slip further behind their global peers, in the adoption of machine driven technology, the risk is that focus may begin to shift away from the local market towards off-shore hubs where there is rapidly increasing demand for machine driven data analytics and a willingness to pay for the inherent efficiencies therein!
I'd be happy to discuss this issue further with you should you have the time available...
Regards,
David McIntosh