large language models
UK asset manager fixes data then brings in AI
Now that Omba Advisory & Investments has consolidated its data, it can leverage new AI tools.
Tale of two halves: Agentic AI and the coming capital markets reckoning
Firms that have built robust rails will be better placed to scale agents safely and improve productivity. Those that don’t will learn a hard lesson, says Andrew Morgan.
How quants are getting the most out of Claude
Agentic tools boost productivity by multiples, but using them takes skill.
Where a US antitrust case and a data law meet
The Waters Wrap: Regulators’ choice not to endorse a securities identifier under a new law keeps business as usual for firms required to pay Cusip license fees—but Reb isn’t ruling out a shake-up just yet.
Why generic AI approaches really struggle with investment data
For investment management firms experimenting with LLMs, the results often fall short of expectations. Bharath Reddy of Finbourne says firms should examine the architecture that sits between the model and the data.
AWS, Moody’s latest play shows further proof of MCP’s rise on Wall Street
The rating agency is building on a long-standing relationship with Amazon Web Services to deliver data and insights to clients.
M&As, MCPs and why clean data is essential
The Waters Wrap: Financial firms are racing to adopt AI—but the payoff depends on having the right foundations, particularly clean, normalized data, writes Wei‑Shen.
Fidelity Labs: One model to rule them all
Fidelity Labs’ latest AI undertaking involves repurposing baseline AI tooling across the organization.
MCP is dead, long live MCP
The Waters Wrap: Reb dives into the trenches of the online developer community to see whether its reputation as the great enabler of the AI age is justified.
FactSet’s vectorization service aims to improve agent accuracy
FactSet chief AI officer Kate Stepp discusses the importance of having AI-ready data in the agentic era.
Symphony introduces agentic workflows to core platform
Through the new AI agent studio, firms will now be able to build their own AI agents within the Symphony platform.
Quants like Andrew Ang are making the case for AI agents
AI agents can boost human managers by analyzing investments, risks and portfolio choices at scale
The race to ‘financialize’ GPU compute set to ratchet up
The Waters Wrap: Anthony looks at two companies aiming to bring efficiency and transparency to the GPU compute market.
Model risk in the age of generative AI
Banks are racing to understand the risks posed by a new breed of multi-purpose bots.
How banks are utilizing new AI forms in their KYC process
Execs from JP Morgan, ING, and Standard Chartered explain how they are looking to use agentic AI to streamline KYC workflows.
Blue water rafting: How RBC’s AI Group is navigating the AI rapids
After forming its new AI Group, RBC is building a governance layer to help minimize risks posed by agentic AI.
ExeQution Analytics aims to reduce agent hallucinations with new tool
The five-year-old company is launching an agentic tool to help trading, quant, and IT teams get more value from their data.
Tradefeedr pairs with BMLL to expand FX offering into equities, futures
Tradefeedr will also use BMLL’s historical data to help build out an LLM-powered chatbot.
New LLMs are proving to be surprisingly good quants
Strides in AI’s ability to do maths mean models can plausibly help with research.
SigTech’s closure amid agentic AI boom raises questions
Sources say competition from leading AI companies was too stiff to combat.
Bloomberg Terminal’s agentic play shows rapid change in trading tech
Waters Wrap: The data giant’s conversational AI interface might seem novel, but others say having one is becoming a bare minimum in the world of trading technology.