“AI is very, very data hungry,” says Eckle, who evaluates AI tools for customers. “And the data needs to be accurate, it needs to be timely, it needs to be fast, and there needs to be a lot of it.”
Beyond the four big buckets of data management problems, organizations also struggle with a single source of truth in their data, Eckle says. Which of the five versions of a product specification PDF floating around an organization is the correct one? Does your customer support chatbot have access to all five versions?
Focus on quality and standardization
For those organizations struggling to clean up their data, Dell’s Boudreau recommends focusing on data management processes and governance that consider privacy, standardization, quality, and integration.
