New venture targets investments in the fintech space, including regtech, artificial intelligence and blockchain companies.
It’s a trio of problems: Mifid II’s data problem; blockchain projects stalled; and data quality issues for machine learning.
Ryusuke Yokoyama, CIO at JPX sits down with Wei-Shen Wong to discuss how the exchange is considering its options when it comes to data management.
Speakers at the Buy-Side Technology North American Summit said a single source of quality data is where AI projects should start.
When it comes to artificial intelligence, first-mover advantage is clear. But for buy-side firms that do not have the resources of global giants and are finding they are increasingly unable to compete, it becomes a tough question—do you trust third-party…
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.