As the industry—and society, as a whole—embraces the promise of artificial intelligence, James argues that there is a need to train models on more than just mathematical data.
The use of biometrics and identification technologies has skyrocketed within retail banking and has become an intrinsic part of the latest technology devices. But now the financial-markets industry is latching on to the potential of these technologies,…
Ryusuke Yokoyama sits down with Wei-Shen Wong to discuss his three-decade career at the TSE and JPX, how the exchange is looking to help the industry improve its settlement cycles and how the company is experimenting with blockchain and AI technologies…
Also: A look at IHS Markit pulling MarkitSERV off the market and Algomi pivoting to Alfa.
Structure of Asian markets means new tool has to roll out later than Europe or the US, but will incorporate feedback from those regions.
The application will provide professional investors with personalized business insights, using AI-driven technology.
Investment spend is largely seen to be going to data management programs before emerging tech initiatives.
Waters canvasses a range of industry opinion leaders about what the defining technologies of the next few decades will be.
The combined technology allows the comingling of customers’ proprietary data with third-party content.
Waters examines some of the most important events in financial technology of the past 25 years.
In a period where most stock exchanges are facing uncertain futures and are eyeing consolidation with rivals, one of the world’s largest is hitting its stride.
Artificial intelligence can hone in on small-scale data issues that are a big deal in the face of intense cost pressures.
Data companies are investing in AI and machine learning in a concerted push toward innovations that reveal insights and alpha.
Discovery represents the first integration of OTAS' technology after last year’s acquisition.
Named Verus, the application scores news articles based on their potential impact on a portfolio.
The new analytics tools will help bond traders and salespeople spot missed opportunities, officials say.
Recent studies reveal the prevalence of poor-quality data, exacerbated by increased use of machine learning that allows users to dredge far bigger datasets and identify spurious correlations.
Charles Randell says data and technology usage by firms should "liberate" not "disenfranchize" consumers, and regulation is "central to defining" ethical practices.
As IT systems are buckling under the pressure of modern day trading volumes and regulatory requirements, some firms are turning to AI to predict and minimize outages.
The investment will be used to accelerate growth and bolster the firm's global presence.
Peter Clark, CIO for Greater China and North Asia (GCNA) at Standard Chartered, talks with Waters about the projects they're working on and the team he's built.
Panelists at the recent Toronto Financial Information Summit outline the key opportunities and challenges for machine learning and artificial intelligence in the financial markets.
Some fear the prospect of artificial intelligence taking traders' jobs. But, explains National Bank of Canada's Alexis Gouslisty, AI's greatest opportunities are in transforming the way banks manage data internally and how they interact with clients.