GenAI
Manuela Veloso on how banks can make their AI dreams reality
Former JP Morgan head of AI research says open-ended enquiry will unlock technology’s full potential.
A third of banks do not maintain logs for GenAI models
Benchmarking study finds few banks review prompt logs systematically, with larger firms focusing on higher risk use-cases.
Few banks formally evaluate GenAI human-in-the-loop controls
Benchmarking: G-Sibs and challengers use tools to test controls efficacy; others rely on judgment.
Agentic AI for XVAs still five years away, experts say
Risk Live: Questions about validation and accountability keep autonomous AI models out of XVAs for now.
Managing AI models is reshaping three lines of defense, say banks
Model managers want a seat at table during development, and expect the first line to take charge of AI model testing.
Reimagining fraud intelligence across trading systems
Researchers at IBM and Wipro say that trading firms need to transition from static fraud monitoring to adaptive behavioral intelligence embedded directly within the trading lifecycle.
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.
AI won’t stay in its risk category
For the first time, JP Morgan filed a form 10-K listing AI as a standalone risk factor—a sign of how banks are rethinking previously defined risk categories and their overall risk profile.
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.
OnCorps eyes AI-driven fund administration
The Boston-based vendor’s new CEO, Ron Allen, a BlackRock Aladdin alum, says domain-specific agentic AI can tackle fund administration’s messiest workflows.
Old data practices key to navigating new agentic ambitions
Metadata and data quality are not as sexy as autonomous agents, but data executives across the capital markets warn that they are integral to successful agents.
EU AI Act leaves agents in regulatory limbo
A new paper published by AI ethicists draws attention to a hole in the EU AI Act surrounding high-risk agentic systems.
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.
Bootcamps and peer pressure: Goldman preps staff for AI future
The tone from the top is not enough, says chief information officer Marco Argenti.
Model risk in the age of generative AI
Banks are racing to understand the risks posed by a new breed of multi-purpose bots.
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.
Broadridge’s agentic strategy takes its lessons from past AI winters
The Waters Wrap: Anthony looks at a real-world agentic project underway at the post-trade giant to see what others can learn.
GenAI and data quality converge at T. Rowe Price’s (Data) Lake Como
Jay Como was hired by T. Rowe Price in 2023, just as generative AI was rippling across the capital markets. Rather than accepting data quality as a hindrance to AI development, his team wants to use AI and agents to help solve this long-standing issue.
Market data cost increases slow, but prices still outmatch budgets
The market for market data is in flux as procurement teams are buoyed by C-suite attention, AI, and competitive tension. But providers are trying to protect their moat.
SigTech’s closure amid agentic AI boom raises questions
Sources say competition from leading AI companies was too stiff to combat.