The increasing use of artificial intelligence and machine learning systems among buy-side firms is in danger of creating a hype bubble – The TRADE examines where asset managers are currently using these technologies to optimise their trading strategies and what pitfalls firms must avoid to (eventually) foster a harmonious trading between man and machine.
Natural language processing specialist Prattle becomes latest acquisition for Liquidnet, following RSRCHXchange and OTAS Technologies.
Growing number of buy-side firms looking to blockchain, artificial intelligence and robotics for growth opportunities over the next five years.
‘We can’t do what we did 20 years ago’: AXA’s trading head sees need for AI and predictive analytics due to information overload
AXA’s global head of trading and securities financing says the asset manager will have to rely on AI and predictive analytics to give traders condensed information.
BNY Mellon has already made some progress in implementing robotics and machine learning to its asset servicing business.
Regulators and policymakers exploring AI for market surveillance face their own challenges around unstructured data use and retaining relevant talent.
Brevan Howard developed the AIM² platform three years ago using artificial intelligence, machine learning and data science.
Research suggests the buy-side is slightly ahead in terms of AI technology adoption compared to sell-side firms and exchanges.
State Street survey finds that 68% of institutional investors are concerned about hitting growth targets in the current market climate.