Machine learning
BNP Paribas explores GenAI for securities services business
The bank recently released a new web app for its client portal to modernize its tech stack.
Are we really moving on from GenAI already?
Waters Wrap: Agentic AI is becoming an increasingly hot topic, but Anthony says that shouldn’t come at the expense of generative AI.
Cloud infrastructure’s role in agentic AI
The financial services industry’s AI-driven future will require even greater reliance on cloud. A well-architected framework is key, write IBM’s Gautam Kumar and Raja Basu.
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.
Asset manager Fortlake turns to AI data mapping for derivatives reporting
The firm also intends to streamline the data it sends to its administrator and establish a centralized database with the help of Fait Solutions.
The murky future of buying or building trading technology
Waters Wrap: It’s obvious the buy-v-build debate is changing as AI gets more complex, but Anthony wonders how trading firms will keep up.
BlackRock tests ‘quantum cognition’ AI for high-yield bond picks
The proof of concept uses the Qognitive machine learning model to find liquid substitutes for hard-to-trade securities.
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.