Agentic AI
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.
Can AI beat exceptions out of the back office?
The Waters Wrap: Agentic AI can help operations teams tackle exceptions. But first, they need to get their house in order, writes Wei-Shen.
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.
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.
Photonics: time for trading tech to see the light
The Waters Wrap: While the sector is dominated by Big Tech, photonic-based solutions could one day help trading firms take more control over their AI ambitions, Anthony says.
Banks should not count humans out in adoption of agentic AI
It will take time to strike a balance between humans and AI agents, and it may start in post-trade, Diederik Geeraerts writes.
Reasoning agents enter the onboarding process for banks
The next phase for banks in the KYC/AML space will be using agentic AI to replace sequential, siloed checks with orchestrator agents, IBM technologists say.
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.
Stopgaps and fail-safes: How trading vendors guard against rogue AI agents
TradeStation’s newest trading tool, Titan-X, uses agentic tools to help plan, execute, and collect data on trades.
The complexity of using AI to tackle compliance
The Waters Wrap: Law firms are introducing new tools to help with regulatory compliance, potentially encroaching on regtech vendors’ territory, Wei-Shen writes.
A tidal wave of token costs threatens landfall
Budgeting for AI was never “easy,” but as financial firms rely more heavily on agents, soaring token usage is forcing them to rethink the economics of modern enterprise AI.
Can pairing autonomous AI agents with digital cash transform finance?
A new Moody’s paper highlights opportunities and risks associated with AI agents and digital cash.
EDMA begins rollout of AI certification framework
The EDM Association is expanding its CDMC framework to include analytics and AI.
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.
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.
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.
MUFG builds internally compliant version of Claude Code
Japanese bank says Anthropic’s coding and productivity tool is effective at obtaining information but bucks compliance guardrails, prompting the creation of an in-house alternative.
Waters Wavelength Podcast Ep. 355: Faculty’s David Bholat
This week, David Bholat joins the podcast to talk about AI deployment.
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.
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.