A summary of some of the past week’s financial technology news.
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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…
The superior computational grunt of neural networks is attractive to lenders, but a lack of explainability presents a significant downside.
The best uses of the cloud so far have been as an enabler of performance and innovation. The best uses yet to come could reshape AI. So, Max warns, if you think cloud is about cutting costs, you’re thinking about it all wrong.
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.
The alternative data sector is still relatively nascent, and as such buy-side firms have struggled with how best to incorporate these non-traditional sources of information. While sources say that there will be continued M&A in the market, how those…
Anthony looks at some recent developments in the low-code and no-code spaces, and tries to better understand what’s hype and what’s reality.
Anthony looks at what he thinks will be the biggest topics during the last quarter of 2021.
If the prototype is put into production, delivery of corporate actions data for dividends could be reduced from up to 24 hours to 15 to 30 minutes.
Anthony believes these advancements will provide the opening for Big Tech firms to created outsized influence that will change financial technology forever.
The data vendor has deployed machine learning across its ETF and fund screening datasets, and plans to interoperate with other big tech firms in the future.
A look at some of the key "people moves" from this week, including Devi Shanmugham (pictured), who joins Tradeweb as global head of compliance.
PanAgora has developed a two-stage process that aims to weed out the greenwashers.
Anthony says that if trading firms want to take advantage of new datasets in fixed income and advancements in machine learning, they’re going to first have to embrace interoperability.
Machine learning could help with loan decisions—but only if banks can explain how it works. And that’s not easy.
RMS providers Sentieo and MackeyRMS feel the pressure to become quasi-data and analytics providers in their quest to cover the gamut of the buy-side research analyst workflow.
APG has improved prediction accuracy for G10 currency movements after adopting decision tree-based machine learning.
The watchdog will set out a new stance on ML-based capital models at a time of conflicting guidance from other supervisors.
By leveraging Google’s AI and data-sharing capabilities, Symphony is strengthening its ties with the tech giant, which is also an investor in the platform.
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.
Creighton AI is using a regression-based approach to machine learning to help make predictions about the excess return of a stock relative to the market.
Data gaps and potential biases must be accounted for in approaches to tackling money laundering.
Anthony takes a look at some major CEO changes from the last year, and what those moves might mean for clients of those vendors.