large language models
Examining Google’s jump into financial research with enterprise Gemini
Google partners like Deutsche Bank and FactSet are using the offering to augment their own AI strategies.
Buy-side firms warn semantic layers not a quick fix for AI integration
Semantic layers promise to teach AI what a firm’s data means. Keeping that meaning current is the part that may get overlooked, tech heads warn.
Agents are invading. Will it stick?
The Waters Wrap: Agentic features are becoming commonplace in the workflow tools of capital markets. Nyela wonders if the trend is sustainable.
TS Imagine launches new agentic platform
TSIQ can act based on client queries, using built-in agent “personas” that can be modified by users on a case-by-case basis.
Banks brace for higher costs as chip memory runs short
A recent report from Gartner shows the price of memory is rising, putting the squeeze on firms eager to adopt AI.
API security flaw highlights AI model vulnerabilities
Researchers uncover a way to make weaker AI models reveal the hidden reasoning of more powerful systems.
On vibe coding, no/low-code dev, and some potential misconceptions
The Waters Wrap: Is no-code/low-code even a thing anymore? Not really. But the companies that championed those terms just a few years ago tell Anthony they aren’t going anywhere.
UK asset manager fixes data then brings in AI
Now that Omba Advisory & Investments has consolidated its data, it can leverage new AI tools.
BlackRock aims to transform data quality checks with AI
Engineers at the firm are experimenting with harnessing the power of AI to improve data quality, and early results are promising.
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.
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.