“The errors made by humans and robots are different,” says Leda Braga
The vendor is also considering including deep learning capabilities to the platform.
A sale was originally reported, but this PE investment will allow the firm to grow its ESG, ETF offering while considering a sale at a later time.
S&P Global Market Intelligence will offer clients new alt datasets from in-house and third parties to be used in conjunction with increased analytics offerings.
The machine learning model predicts client demand with high accuracy, giving traders an edge in pricing.
The bank's central data and technology group enables frontline ‘citizen developers’.
The bank is rounding out the second year in its three-year plan, which includes more than 100 new data roles.
Digital token USC could transform financial markets. But first, backers must prove it is secure.
The investment bank’s deputy chief digital officer says machines cannot predict markets, as the bank consolidates trading operations and builds an AI trading platform for fixed income and FX.
Compliance vendor says upcoming automatic trade reconstruction will slash processing times and allow users to monitor news feeds to detect insider trading.
As the spread of false information online threatens our view of the world, Josephine Gallagher examines how this phenomenon has evolved with technology.
Oracle is using deep learning to find matching patterns for graph analytics within its compliance platform.
The bank is in the throes of a hefty transformation project within its Investor Services division, which began with machine-learning efforts last year.
The company is combining different data sources to help users spot market abuse and manipulation.
Machine learning shows promise in grouping assets better and predicting regime shifts, say fund managers.
While progress was made in the desktop application interoperability space in the last year, Anthony Malakian says 2020 is likely to see some major developments that will help to push this movement forward.
WatersTechnology looks at more than 20 cloud-based projects and initiatives to see how banks, asset managers and vendors are embracing public providers, and the inherent problems involved.
WatersTechnology looks at 16 projects in the capital markets that involve machine learning to show where the industry is heading.
As increased regulatory reporting obligations add to the pressure financial institutions are under to manage intraday liquidity, centralizing siloed legacy systems into a single automated solution can offer an enterprise-wide, real-time view of liquidity…
Vast amounts of data and processing could hinder exploitation of emerging tech, says Ravi Radhakrishnan as it partners with MIT-IBM Research lab.
The bank is looking to automation in the middle and back offices as it seeks to exploit emerging technologies.
At Waters USA, the chief market intelligence officer of hedge fund Point72 discussed how tech and data are disrupting traditional ideas about investing.
The custodian is trying to make digitization core to all the organization's activities, its innovation head says.
Planned upgrades for 2020 include more data on graphs and new machine learning models.