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.
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.
Accounting, data, and analytics offerings make up part of Aladdin's strategy to become everything to everyone.
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.
Open-source wrappers like MLflow, though useful and popular, highlight the risks hidden beneath these models.
The regulator is concerned that rapid AI adoption will favor incumbent vendors; it aims to launch a sandbox.
Neema Raphael, CDO and head of data engineering for Goldman Sachs, explains what he believes it means for a firm to be data driven.
Anthony says Numerix’s acquisition of Fincad is indicative of where technology development in the capital markets is heading.
Canadian bank plans to take deep reinforcement learning tech from equities to fixed income and currencies
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.
Nick Wallis says that blending rules-based, machine learning and automation techniques can help overcome trade surveillance challenges.
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.
Bloomberg has developed a large language model with the aim of improving its Terminal’s ability to provide sentiment, charting and search.
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.
FIA Boca 2023: SVP Bland “can’t imagine” outsourcing critical infrastructure; DRW’s Wilson warns of concentration risk
Dutch court case pressures supervisors to accept new tech; explainability the key challenge
Quants at Acadian, Man Group, Northern Trust and PGIM are investigating the use of machine learning and natural language processing to improve volatility forecasts.
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.
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.
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…
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.
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.