The firm's chief scientist discusses how NLP is being used to prevent the spread of the coronavirus and how it can be applied for financial services.
The functionality is already available for tablets, with the cell phone version expected in the third quarter.
Seismic changes in customer behavior are seeing machine learning solutions throw out false positives.
By benchmarking the performance of AI systems, STAC will help firms identify best-of-breed components for creating platforms with the best overall performance.
After a decade of supercharging low-latency applications, Wei-Shen Wong explores how FPGAs are pushing into new areas of the capital markets, driven by interest in AI & ML.
The information services division at the FX settlement specialist is recruiting data analysts for a special project.
Many quants contend that you must be able to interpret machine learning in order to use it.
The Members Exchange plans to be live with the platform by its launch date of July 24, despite market volatility.
The data quality and matching specialist is testing an entity resolution model for better transparency and explainability.
Experts advise using machine learning to solve data quality challenges before applying it to alpha-generating strategies.
Following initiatives with S&P Global Market Intelligence, Kensho Technologies is tackling new projects for sibling department S&P Global Platts.
The evolution of natural language processing is rapidly progressing. Jo Wright takes a look at BERT, one of the more game-changing innovations that is helping to transform the field of machine learning in the capital markets.
With the growth of alternative data in the capital markets, firms are struggling to find value, and are disillusioned by the loss of time, human capital, and money. Goldman Sachs’ Matthew Rothman believes this has created a situation where vendors and…
A summary of some of the past week's financial technology news.
Quants searching for ESG signals have reached very different conclusions. Mostly they blame the data.
“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.