Waters Wrap: CME, Google and the pursuit of ultra-low-latency trading in the cloud
CME Group and Google have announced Aurora, Illinois, as the location for the exchange’s new co-location facility. Anthony explains why this is more than just the next phase of the two companies’ originally announced project.
In November 2021, news broke that Google had invested $1 billion into CME Group and the two companies signed a 10-year partnership agreement. At the time, we wrote that this was likely to be the first of many such pairings between major exchanges and the Big Tech cloud providers.
Sure enough, soon thereafter, Nasdaq announced a similar deal with Amazon Web Services, LSEG teamed up with Microsoft Azure, and, like CME, Deutsche Börse landed on Google. While not every major exchange has signed
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Doing a deal? Prioritize info security early
Engaging information security teams early in licensing deals can deliver better results and catch potential issues. Neglecting them can cause delays and disruption, writes Devexperts’ Heetesh Rawal in this op-ed.
Google gifts Linux, capital raised for Canton, one less CTP bid, and more
The Waters Cooler: Banks team up for open-source AI controls, S&P injects GenAI into Capital IQ, and Goldman Sachs employees get their own AI assistant in this week’s news roundup.
Waters Wavelength Ep. 323: MarketAxess’s Chowdhury and Burke (plus some Cusip updates)
This week, Riad Chowdhury, head of Asia-Pacific, and Dan Burke, global head of emerging markets at MarketAxess, join to discuss block trading in fixed income. Plus Reb discusses her recent article about Cusip and updates on the class action lawsuit moving through the courts.
As datacenter cooling issues rise, FPGAs could help
IMD Wrap: As temperatures are spiking, so too is demand for capacity related to AI applications. Max says FPGAs could help to ease the burden being forced on datacenters.
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Deutsche Bank casts a cautious eye towards agentic AI
“An AI worker is something that is really buildable,” says innovation and AI head
LLMs are making alternative datasets ‘fuzzy’
Waters Wrap: While large language models and generative/agentic AI offer an endless amount of opportunity, they are also exposing unforeseen risks and challenges.
Trading venues seen as easiest targets for Esma supervision
Platforms do not pose systemic risks for member states and are already subject to consistent rules.
