Machine learning
Banks urged to track vendor AI use, before it’s too late
Veteran third-party risk manager says contract terms and exit plans are crucial safeguards.
For AI’s magic hammer, every problem becomes a nail
A survey by Risk.net finds that banks are embracing a twin-track approach to AI in the front office: productivity tools today; transformation tomorrow.
Agentic AI and big questions for the technologists
Waters Wrap: Much the same way that GenAI dominated tech discussions over the last two years, the road ahead will feature a lot of agentic AI talk—and CIOs and CTOs better be prepared.
Bloomberg offers auto-RFQ chat feed—but banks want a bigger prize
Traders hope for unfettered access to IB chat so they can build their own AI-enhanced trading tools
8 bank CTOs and CDOs sound off on artificial intelligence
Waters Wrap: Last year, WatersTechnology spoke with heads of technology and data from a range of tier-1 banks. Anthony pulls at one common thread from those interviews: AI.
An inside look: How AI powered innovation in the capital markets in 2024
From generative AI and machine learning to more classical forms of AI, banks, asset managers, exchanges, and vendors looked to large language models, co-pilots, and other tools to drive analytics.
Asset manager Saratoga uses AI to accelerate Ridgeline rollout
The tech provider’s AI assistant helps clients summarize research, client interactions, report generation, as well as interact with the Ridgeline platform.
An AI-first approach to model risk management
Firms must define their AI risk appetite before trying to manage or model it, says Christophe Rougeaux
The AI boom proves a boon for chief data officers
Voice of the CDO: As trading firms incorporate AI and large language models into their investment workflows, there’s a growing realization among firms that their data governance structures are riddled with holes. Enter the chief data officer.
Old dogs and new tricks at Brown Brothers Harriman: Meet Kevin Welch
After two decades of working for the oldest private bank in the US, Welch has mastered keeping his balance—change and stasis, humans and artificial intelligence, work and play.
Icy attitudes on internal GenAI usage are thawing—and just in time
Waters Wrap: More and more banks and asset managers are publicly talking about how they are experimenting with generative AI. In the fight for talent, Anthony says this is a necessary step.
Fidelity’s quantum exploration unites theory and proof
The asset manager and Amazon have teamed to put a quantum twist on machine learning.
Derivatives pricing with AI: Faster, better, cheaper
Pascal Tremoureux, head of quantitative research at Murex, describes the firm’s mission to replicate derivatives pricing models through machine learning—slashing time and costs in the process
GenAI could connect ‘constellation’ of vital information technologies
At WFIC, Six Group’s Marion Leslie highlighted the opportunities and risks that the technology holds.
Chevron’s absence leaves questions for elusive AI regulation in US
The US Supreme Court’s decision to overturn the Chevron deference presents unique considerations for potential AI rules.
Reading the bones: Citi, BNY, Morgan Stanley invest in AI, alt data, & private markets
Investment arms at large US banks are taken with emerging technologies such as generative AI, alternative and unstructured data, and private markets as they look to partner with, acquire, and invest in leading startups.
IBM report finds ‘shadow’ data significant contributor to data breaches
As AI and cloud take on greater importance in the capital markets, firms need to consider their threat impact zones.
Standard Chartered keeps faith with quantum experimentation
The bank is aiming to future-proof itself with the ability to adopt new technology at an early stage.
UK asset manager: AI in macro trading ‘very overblown’; useful for nowcasting
The managing partner of Fulcrum Asset Management said that the firm has been developing nowcasting tools that even central banks have consulted on.
The coming AI revolution in QIS
The first machine learning-based equity indexes launched in 2019. They are finally gaining traction with investors.
Banks, vendors mine AI for corporate FX hedging
New machine learning algos can help corporate clients adjust hedging ratios, but tech’s effectiveness is limited by data quality, experts caution