Machine learning
Chief investment officers persist with GenAI tools despite ‘blind spots’
Trading heads from JP Morgan, UBS, and M&G Investments explained why their firms were bullish on GenAI, even as “replicability and reproducibility” challenges persist.
The industry is not ready for what’s around the corner
Waters Wrap: As cloud usage and AI capabilities continue to evolve (and costs go up), Anthony believes the fintech industry may face a similar predicament to the one facing journalism today.
Quants use AI to shush noisy order-book data
Signals from clusters of seemingly informed trading perform better, researchers say.
Academic warns of systemic risk from AI-powered trading
Strategies generated by LLMs exhibit “very strange, correlated trading behavior”, says Lopez Lira.
The Model Context Protocol brings agents to life—along with risk
Waters Wrap: From chat to infrastructure modernization, Anthropic’s MCP offers a ‘bridge’ to agentic AI, but its early days may prove disillusioning.
BofA ramps up AI deployment, patents
The bank has 1,400 patents in AI and machine learning, either granted or pending, alongside a growing portfolio of 250 models.
Agentic AI comes to Bloomberg Terminal via Anthropic protocol
The data giant’s ubiquitous terminal has been slowly opening up for years, but its latest enhancement represents a forward leap in what CTO Shawn Edwards calls, “the way we should talk to the world.”
GenAI too risky for collateral processes
The technology has been heralded as game-changing for other areas of finance, but its potential to hallucinate may disqualify it from sensitive settlement procedures.
Cloud Wars: Are EU and APAC firms really pining for homegrown options?
Waters Wrap: In the wake of tariffs and regional instability, there’s chatter about non-US firms lessening their dependency on the major hyperscalers. Anthony is not buying it.
LLMs are making alternative datasets ‘fuzzy’
Waters Wrap: While large language models and generative/agentic AI offer an endless amount of opportunity, they are also exposing unforeseen risks and challenges.
First Citizens used AI to retain SVB customers
The firm’s retention efforts involved using AI to monitor customer behavior and sentiment—including profanities.
Study: RAG-based LLMs less safe than non-RAG
Researchers at Bloomberg have found that retrieval-augmented generation is not as safe as once thought. As a result, they put forward a new taxonomy to help firms mitigate AI risk.
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.
MarketAxess, S&P partnership aims for greater transparency in fixed income
CP+, MarketAxess’s AI-powered pricing engine, will receive an influx of new datasets, while S&P Global Market Intelligence integrates the tool into its suite of bond-pricing solutions.
DeepSeek success spurs banks to consider do-it-yourself AI
Chinese LLM resets price tag for in-house systems—and could also nudge banks towards open-source models.
Saugata Saha pilots S&P’s way through data interoperability, AI
Saha, who was named president of S&P Global Market Intelligence last year, details how the company is looking at enterprise data and the success of its early investments in AI.
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.