Fifteen years on, enterprise data quality remains a stubborn challenge, and AI has only accentuated it. The question is how can organisations balance managing their most critical data to the highest quality while right-sizing the approach to everything else. In the age of AI, can enterprises wade through imperfect data and still find innovative insight?

What you'll walk away with:
• Why data quality remains a challenge, and how AI accentuates it
• How to right-size data quality: where to hold firm, and where to ease off
• Alternative, pragmatic approaches to balancing your organisation's data readiness