Emerging Technologies
Is this tokenization’s golden opportunity?
The Waters Wrap: More initiatives around tokenizing assets are coming to fruition. Nyela asks: Is the market ready?
LSEG caps free prompts as it moves to increase AI revenues
New AI tools were the main focus of the exchange group’s mid-year progress update.
EDMA begins rollout of AI certification framework
The EDM Association is expanding its CDMC framework to include analytics and AI.
LSEG plans new venue launch, Talos integrates with Kalshi, and more
The Waters Cooler: A recap of the major tech and data news from the past week in the capital markets.
IBM’s ‘multi-billion-dollar opportunity’ securing open-source software
In its first three weeks, Lightwell has made 7,500 open-source patches available to clients.
During the global financial crisis, knowing your data was the edge. With AI, it’s the whole business
SimCorp’s CEO says firms should understand their data and enterprise plumbing in the age of AI.
UK asset manager fixes data then brings in AI
Now that Omba Advisory & Investments has consolidated its data, it can leverage new AI tools.
Red alert: how Nasdaq’s Smarts became surveillance blind spot
Software that looks for shifty trades has been asleep on the job, affecting alerts for hundreds of products.
Garage upstart turns Polymarket bets into benchmarks
Belief Systems launches 13 prediction indexes, but faces adoption hurdles.
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.
Ethereum rebuild casts doubt on banks’ QC prep
The Waters Wrap: Q-Day may be approaching faster than some realize. As Ethereum embarks on a major overhaul, Wei-Shen asks: just how prepared are banks?
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.
New Preqin indices, Bloomberg’s TCA API, and more
The Waters Cooler: A recap of the major tech and data news from the past week in the capital markets.
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.
Finance firms join Anthropic’s Project Glasswing as AI transforms cyber risk
Broadridge and Intercontinental Exchange are taking part in Anthropic’s cybersecurity initiative, built around its controversial Mythos model.
NSCC extends hours, Tradeweb finds on-chain success, and more
The Waters Cooler: A recap of the major tech and data news from the past week in the capital markets.
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.
Trumid and BlackRock partner, reference data drama, Finos launches AI fund, and more
The Waters Cooler: A recap of the major tech and data news from the past week in the capital markets.
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.
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.