Since the release of ChatGPT, excitement and hype have been abundant across industries for this form of generative AI. For capital markets, the wave of innovation that could result may be a few years away but it’s worth paying attention to—and being critical of.
According to one report, banks have been hit with penalties of up to €5 million per month under new CSDR settlement rules. As a result, banks are turning to AI to help.
While much attention has been given to cloud, AI, blockchain and other buzzwords, without a proper data foundation, those tools will not deliver the results that have been promised.
It’s a new world, contend BBH’s Kevin Welch and Josh Fine. After a few years of experimentation that yielded several AI products for the bank and its clients, it was time to put the puzzle pieces together to serve a different way of working post-Covid.
The custodian bank has reduced payment processing times by as much as 80%, according to officials.
As the December holiday break loomed, a new tool released by OpenAI had engineers, analysts, programmers and even writers like Anthony wondering what the future of their professions might hold.
As machine learning and natural language processing continue to spread across the industry, WatersTechnology highlights stories from 2022 that feature new use cases.
Bloomberg, Broadridge, BNP Paribas, and a handful of startups are working to address manual processes in the back office.
Oxford-Man Institute is among those asking: could algorithms gang up and squeeze customers?
Once wary of the cloud, financial firms, their suppliers and the marketplaces where they trade are openly embracing it. And there are more signs of big tech firms accelerating buy-in by literally buying in to clients’ migration projects.
Sources say that vendors will suffer the most in the fallout from ASX’s “paused” blockchain settlement project.
But supervisors cautiously welcome next-gen model risk management
Swarm Technology has designed a network of trading algorithms that mimics the hive mind of insects.
Machine learning tool forecasts effect of shocks on implied volatility surfaces in minutes.
Demand for corporate actions data is increasing in the front and middle office, but the data can be hard to read.
S&P-owned AI tool Kensho is leveraging its parent's massive datasets with its own machine learning to release a series of tools for analysts.
With a sharper focus, AI readers could help detect hidden exposures for investors
From academics to data teams at investment banks, those in and adjacent to the capital markets are looking to specialize natural language processing models to understand and break down financial data.
Neal Pawar, the former CTO of AQR and current COO of Qontigo, chats with Anthony about some of the major trends that are changing how asset managers interact with the vendor community, and how this shift mirrors the most significant evolutions in capital…
Symphony decided to first migrate client data to Google from AWS, and then focus on applications.
Vendors are looking to provide AI models to help financial professionals get more value out of unstructured data sources.
As funding for startups and young companies dries up due to inflation and rising interest rates, Anthony looks at some of the vendors that have received monetary infusions this year to see if there are any patterns to be gleaned.
After acquiring Blue Prism earlier this year, SS&C is looking to pair its Chorus business process optimization tool with the RPA specialist.
Some of the largest trading platform providers have embarked on major integration projects in recent years. As fintech disruption continues, Anthony says this is not a fad, but an evolutionary shift.