Machine learning
FHLB Cincinnati explores AI to spot failing banks
The financial risk head at FHLB Cincinnati is developing an agentic model to draft reports for analyst review.
Editor’s Picks: Our best from 2025
Anthony Malakian picks out 10 stories from the past 12 months that set the stage for the new year.
50% of firms are using AI or ML to spot data quality issues
How does your firm stack up?
SS&C’s Bill Stone: RPA still important for agentic endeavors
The fintech is leaning on almost four decades in financial services and its many acquisitions to power AI deployment and meet the market’s needs.
Examining how adaptive intelligence can create resilient trading ecosystems
Researchers from IBM and Wipro explore how multi-agent LLMs and multi-modal trading agents can be used to build trading ecosystems that perform better under stress.
Bank of America’s GenAI plan wants to avoid ‘sins of the past’
Waters Wrap: Anthony spoke with BofA’s head of platform and head of technology to discuss how the bank is exploring new forms of AI while reducing tech debt and growing interoperability.
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.
Wall Street hesitates on synthetic data as AI push gathers steam
Deutsche Bank and JP Morgan have differing opinions on the use of synthetic data to train LLMs.
SNB researchers test LLM-based FX trading strategy
Meta’s Llama 3.1 comes out on top at predicting G10 currency sentiment based on news articles.
‘AI for everyone, everywhere, with everything’
Waters Wrap: Anthony looks at some interesting projects involving machine learning, generative AI, and agentic AI from the last year.
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.