Data Issues Still Hamper AI—But AI Can Fix Them

Max Bowie
@MaxBowie
21 Sep 2020

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Dirty, incorrect, and incomplete data continues to pose barriers to adoption of artificial intelligence in key areas of financial firms’ workflows, such as development of trading algorithms. But there’s good news: the same AI techniques firms are using to create new trading models can also be used to fix the data issues that have traditionally hampered the effectiveness of data-hungry AI models for trading and analytics.

“All of these models are dependent on data, whether you’re using AI

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