Machine learning & NLP in the capital markets: Some examples from 2021

To show how ML and NLP are spreading across the industry, WatersTechnology highlights 20 stories from the last 12 months that feature unique uses of AI.

As firms demand more data to find alpha, better manage risk, and more efficiently handle regulatory needs, they are having to turn to artificially-intelligent tools, namely, algorithms that incorporate the disciplines of machine learning and natural language processing.

Below are some examples as to how banks, asset managers, exchanges, regulators and vendors are using ML and NLP. While this is not an exhaustive list of stories we wrote about AI in 2021, we hope it provides a good snapshot of

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Interop tech buys time for buy-side fixed-income traders

A few buy-side traders and portfolio managers spearheading a drive for greater interoperability are reaping the rewards of increased workplace efficiency. Is interoperability the fixed-income panacea the buy side has been looking for?

GenAI and HFT: A competitive edge?

Timing is critical in the capital markets. IBM researchers say genAI’s predictive abilities in combination with AI/ML models can translate into profitable HFT opportunities.

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