AI Can Drive Reconciliations Efficiency In Period of Increased Volume

As the coronavirus drives trading volumes, post-trade processing is increasingly an area of operational risk, and firms should consider automation, analyst says.

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Artificial intelligence can streamline post-trade reconciliation operations, says analyst Virginie O’Shea, reducing the time that staff spend on basic tasks and allowing them to focus on more complex and challenging items.

“There are no magic bullets for these problems, but in harmonizing front-ends across platforms, or enabling manual processes to be better supported by technology, artificial intelligence and machine learning could play a part,” said O’Shea, who is the founder of Firebrand

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The IMD Wrap: Will banks spend more on AI than on market data?

As spend on generative AI tools exceeds previous expectations, Max showcases one new tool harnessing AI to help risk and portfolio managers better understand data about their investments—while leaving them always in control of any resulting decisions.

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