Experts Warn on Data Quality for AI Projects

Speakers at the Buy-Side Technology North American Summit said a single source of quality data is where AI projects should start.

Data flow

Data governance strategies that rationalize data, prioritize lineage, and put a premium on quality are necessary before moving into artificial intelligence (AI) and machine learning, experts say.

Speakers at the Buy-Side Technology North American Summit, held in New York on October 8, said that data continues to be the important missing piece people forget before undertaking AI projects.

For Julia Bardmesser, senior vice president and head of data at Voya Investment Management, AI projects are

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