Machine learning
Citi cyber chief says AI providing new weapons in hacking wars
Barron-DiCamillo also urges regulators to work with industry best practice, not against it
MarketAxess looks to proprietary data and automation with new offerings
The fixed-income trading provider’s Adaptive Auto-X automation tool and new data offerings were a bright spot amid lackluster Q2 earnings.
IBM bets big on generative AI
Although Q2 revenue was flat year-on-year, it was buoyed by IBM’s hybrid cloud and AI strategy. The tech giant will build up its AI capabilities similarly to how it’s dealt with Red Hat OpenShift.
State of the tech: A half-year check-in with large language models
AI is having a moment, and data vendors and software providers are seizing on it. Some are building models in-house, while others are looking to third parties to power their strategies—but the focus is largely on productivity and faster data access…
Banks’ internal watchdogs bark back at ChatGPT
Generative AI has plenty of uses in finance, but banks must first overcome compliance headaches
Automation in fixed income: Sorting the bluster from the bleeding edge
Automation is gaining traction in fixed-income markets, but use cases are limited and progress is slow. Market participants must overcome some uniquely human problems before they fully embrace the machine.
This Week: Confluence Technologies, Genesis, LexisNexis, and more
A summary of the latest financial technology news.
Waters Wrap: The path to generative AI is paved with solid data practices
While large language models are likely to proliferate, those that can develop a solid data infrastructure of taxonomies, ontologies, data sourcing, mapping and lineage will be the ultimate winners, Anthony says.
IMD & IRD Awards 2023 winner's interview: MarketAxess
MarketAxess won the best AI/machine learning data initiative in this year’s Inside Market Data & Inside Reference Data Awards, thanks to its CP+ bond pricing engine.
Google urges regulators, market participants to clarify risk guidance for AI models
A new whitepaper from Google finds that existing guidance on the use of AI and ML models for risk management is a start, but leaves room for improvement.
Hidden danger: As AI permeates finance, cybersecurity moves to the forefront
Open-source wrappers like MLflow, though useful and popular, highlight the risks hidden beneath these models.
FCA may offer its market data to surveillance tech start-ups
The regulator is concerned that rapid AI adoption will favor incumbent vendors; it aims to launch a sandbox.
Waters Wrap: On cybersecurity, regulators and ‘victim blaming’
In the wake of the Ion hack, regulators are pushing for firms to beef up their cyber defenses. Anthony says that they'll need to mind their words and tread carefully, as cloud, machine learning and open source take off.
UBS found no advantage in quantum computing—ex data chief
The Swiss bank tested various use cases in its trading business before giving up on the technology.
Waters Wrap: Numerix, Fincad and the new world of M&A
Anthony says Numerix’s acquisition of Fincad is indicative of where technology development in the capital markets is heading.
RBC eyes AI to bolster FX and rates algos
Canadian bank plans to take deep reinforcement learning tech from equities to fixed income and currencies
From ChatGPT to BloombergGPT: In capital markets, who can make the most of large language models?
Capital markets are no strangers to hype machines. Among the buzz around generative AI, Nyela wonders who will be best suited to take advantage of the technology and deliver the right use cases to Wall Street.
Are there limits to machine learning in trade surveillance?
Nick Wallis says that blending rules-based, machine learning and automation techniques can help overcome trade surveillance challenges.
Waters Wrap: Blockchain—let’s put the hammer back in the box
With the ASX Chess DLT failure and users ignoring DTCC’s DLT option for its Trade Information Warehouse, Anthony wonders what it will take for the industry to stop touting this buzzword for non-specialized needs.
S&P Global–IHS Markit post-merger: One giant leap for data analysis?
The combined entity will look to tap into AI tools provided by S&P’s Kensho outfit and AWS’ cloud to build new analytics platforms.
BloombergGPT: Terminal giant enters the LLM race
Bloomberg has developed a large language model with the aim of improving its Terminal’s ability to provide sentiment, charting and search.
OK regulator? How AI became respectable for AML controls
Dutch court case pressures supervisors to accept new tech; explainability the key challenge
The haves and the ‘have bots’: can AI give vol forecasters an edge?
Quants at Acadian, Man Group, Northern Trust and PGIM are investigating the use of machine learning and natural language processing to improve volatility forecasts.
MSCI’s multi-cloud strategy aims to provide a new window into investment data
The MSCI One platform already runs on Microsoft Azure, and MSCI is building a new investment data platform on Google Cloud to utilize the search giant's AI and NLP capabilities.