After years of initial resistance, the capital markets have come to depend heavily on the compute capacity of the public cloud. But increasing market volumes are rapidly outpacing the cloud capacity that organizations thought would be sufficient for…
A summary of the week's financial technology news.
New research highlights predicted growth areas for cloud computing—and the tools it enables, such as AI and machine learning—in the capital markets. Spoiler alert: Google says cloud is becoming as ubiquitous as the search giant itself.
Anthony believes these advancements will provide the opening for Big Tech firms to created outsized influence that will change financial technology forever.
The strategic partnership will involve a three-part integration including system connectivity, combined visualization and the creation of client feedback loops.
Founded with the principles of “transparency and academic rigor,” some say Proof’s model and technical approach is a test case for a new generation of cloud-native broker startups.
The Chicago-based futures trading platform recently rolled out a new OMS offering, while other projects, like its Echo Chamber market data platform, have been put on pause until a sale goes through.
High-frequency data such as human mobility data and plastic shipments can help investment professionals understand the post-pandemic economic reopening.
There's rapid digital transformation underway in the industry and regulators must get with the game plan while not over-regulating the use of AI.
A new tool that helps business users test and validate their own POCs is set to join the bank’s ranks alongside its other AI projects implemented over the last two years: Linc, Guardrail, and Ants.
Intelligent robots can value complex derivatives in minutes rather than hours
Dealers say the agencies’ request for info could prompt new rules that stifle model innovation.
The bank’s client segmentation offering creates more targeted post-trade offerings, while its prediction engine can help reduce settlement failures.
The asset manager’s CIO for Europe aims to centralize responsibilities from its UK and EU offices for how its business in the region manages data and develops new investment products.
Increasingly, exchanges are trying to get closer to their customers, in a bid to better understand how they use market data. This move may come at the expense of data vendors that are being gradually squeezed out of the exchange-client relationship.
In recent years, the major cloud providers have expanded their service offerings specific to capital markets firms. Some industry observers believe it’s just a matter of time until they get involved in market data M&A activity.
Aiden, a trading platform launched last year, is the product of five years of experimentation with deep learning by RBC Capital Markets on top of an additional five years of hypothesizing about what best execution would one day require.
Migration to stock exchange’s tech platform aims to deliver faster speeds and more order types.
The data vendor’s product is its first that aims to sort what it believes to be truly innovative companies from the pack.
Cyber threat intelligence is crucial for the defense of an organization’s network, but financial firms have to figure out how to make sense of all the data first.
Augmenting graph analytics with AI can detect more complicated anomalies, vendors say.
After releasing its cloud-native AMP and data analytics platforms in 2020, Linedata is looking to readjust its OMS strategy as it embraces microservices.
Buy-sider traders remain skeptical of the benefits of algo execution for credit derivatives.
A summary of some of the past week’s financial technology news.