AI in the Cloud: How the Two are Making for a Perfect Match

As more financial institutions are starting to expand their usage of AI, they are turning to the cloud to help scale up. However, there are things to consider before doing so. Wei-Shen Wong examines.

In an environment that has left financial firms grappling with thinning margins amid rising costs, data has become more important than ever. But simply possessing data is not enough—the key is gleaning insight from it—leading firms to explore and experiment with artificial intelligence (AI) for a variety of reasons.
 
The problem often comes down to size: Various forms of AI—such as machine learning and the sub-discipline of deep learning—tend to require large datasets for training and to

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Cutting through the hype surrounding the FDTA rulemaking process

A bill requiring US regulators and institutions to adopt a machine-readable data framework for reporting purposes applies to entity identifiers, but not security identifiers, in a crucial difference, writes Scott Preiss, SVP and global head of Cusip Global Services.

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