AI
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.
Integrating Pillars 1, 2 and 3: A better way to Basel IV
This Wolters Kluwer report provides actionable insights on how banks can navigate the challenges of Basel IV effectively
This Week: Europe’s Mifir review, MarketAxess, FIA, 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.
BlackRock looks to expand Aladdin through accounting, data capabilities
Accounting, data, and analytics offerings make up part of Aladdin's strategy to become everything to everyone.
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: Goldman Sachs and the facts and fiction of being data driven
Neema Raphael, CDO and head of data engineering for Goldman Sachs, explains what he believes it means for a firm to be data driven.
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.
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.
New chatbots reveal limitations of legacy API development
As large language models that underpin the likes of ChatGPT and Bard come to market, vendors and trading firms are starting to see the benefits—and challenges—that open APIs provide.
Ice exec rejects cloud for critical infrastructure
FIA Boca 2023: SVP Bland “can’t imagine” outsourcing critical infrastructure; DRW’s Wilson warns of concentration risk
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.
Waters Wrap: ChatGPT, data officers, and reaching new frontiers
As banks clamp down on large language models like ChatGPT, Anthony says that CDOs can help firms experiment with these chatbots while developing the proper governance structures.
Privacy-enhancing tech and data pooling—a new way to turn the tide on financial crime
Technological innovations have given some players cause to hope that cross-institutional data sharing could become a reality in spite of concerns around data protection.
Large language models: Another AI wave has come—what could it bring?
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…