Waters Wrap: Machine-Learning Models Suffer from Covid (And Exchanges in the Cloud, Pt. 2)

Anthony says that while machine-learning models have been hit-and-miss during the pandemic, NLP is taking on greater importance. He also looks at how exchanges are looking to move their core matching engines to the cloud.

Thursday was Thanksgiving in the United States—maybe elsewhere, too, but American hegemony insists that I only care about Pilgrims and Indians. I’m thankful for many things in my life, but when it comes to work, beyond the amazing reporters I get to work with on a daily basis, I’m very thankful for our subscribers.

This might be a little bit “inside baseball,” but the majority of our revenue here at WatersTechnology—and, for that matter, at our sibling publications Risk.net, Central Banking, an

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DORA stalls over identifier dispute

A disagreement over how to classify third-party tech providers on a reporting form known as the “register of information” has held up preparations for the highly anticipated operational resiliency rule in Europe.

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