AI for data quality control catches on at institutions
Data execs at banks and asset managers say they are working on projects using AI to improve data-quality workflows.
With the advent of chatbots and large language models, the world is realizing what data professionals have always known: quality matters…a lot. It’s also hard to get right.
Now, data managers are trying to reverse engineer the problem—can AI be used to improve data quality controls? In a survey of 10 banks and asset managers, three senior data executives said that they have used AI in the last 12 months to remediate quality issues or discrepancies on market data feeds. Five said they are working
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