Jo predicts we will see a rise in no-code or low-code tools in the analytics space, but some barriers to scale remain.
Testing on the new DLT-based platform will begin in July. The Aussie exchange is also making progress on its DataSphere project and has addressed ASX Trade after an outage last year, according to the company’s CEO.
A discussion about Texas wooing Jersey companies, offices in Salt Lake City, and programmer skills.
The bank’s recent moves signal what could become a managed services offering, as Goldman further embraces cloud, open source, and APIs.
Later this year the vendor is looking to allow users to clip together various components of an algorithmic trading strategy, making it easier for users with limited programming skills to build their own trading strategies.
Anthony looks at an interesting project using causal inference by IBM and Refinitiv, and what this latest evolution of machine learning could mean for innovation in the capital markets in the future.
Anthony Malakian looks at the industry’s digital rights project and new tech platforms that aim to revolutionize the capital markets.
What if you could create your ideal, fully-functional application without writing a single line of code? With low-code and no-code platforms, you can—with a catch … or two, or three, or four.
The Paris-based bank has developed a coding environment to help democratize tech development, and is exploring virtualization.
Keen to trim the resources they expend on interpreting licenses, investment firms are exploring how they can turn data agreements into machine-readable code. Doing so is fraught with challenges.
Morgan's Morphir offering is a transparency and efficiency tool for both users and developers; EPAM's GLUE is aimed at the buy side.
WatersTechnology goes inside Isda Create to see how the organization is aiming to bridge the gap between the worlds of paper contracts and legal data.
Anthony looks at what's become of NEX since the CME acquisition, as well as discussions over odd lot reform and S&P's Kensho implementation.
The vendor will roll out new coverage across OTC derivatives, fixed income, and FX in the third and fourth quarters.
The platform will allow users to look up the latest definitions as they execute a trade, with the option to access code for certain definitions using functionality already developed in the Common Domain Model (CDM).
For good reason, machine learning has a highly technical focus. But less talked-about challenges lie in managing the human capital and workflows associated with the tech.
The investment bank is leveraging Red Hat's OpenShift technology to better manage its global footprint of virtual machines.
Financial industry experts say the time to start future-proofing was yesterday.
As UK regulators look to strengthen operational resilience rules, one solution could be to use APIs to access vendor data.
A summary of some of the past week's financial technology news.
Concurnas founder says his language will help traders work more easily with concurrent computing and offer a Python-like syntax with Java-scale performance.
The machine learning model predicts client demand with high accuracy, giving traders an edge in pricing.
At Waters USA, the chief market intelligence officer of hedge fund Point72 discussed how tech and data are disrupting traditional ideas about investing.
As more financial institutions are starting to expand their usage of AI, they are turning to the cloud to help scale up. However, there are things to consider before doing so. Wei-Shen Wong examines.