How to Ensure Your Data is AI Ready

Artificial intelligence has the potential to be a game-changer for organizations looking to empower their employees with data at every level. However, as business leaders look to initiate projects that incorporate data as part of their AI solutions, they frequently look to us to ask, “How do I ensure my organization’s data is ready for AI?” In the first blog in this series, we shared ways to ensure knowledge assets are ready for AI. In this follow-on article, we will address the unique challenges that come with connecting data—one of the most unique and varied types of knowledge assets—to AI. Data is pervasive in any organization and can serve as the key feeder for many AI use cases, so it is a high priority knowledge asset to ready for your organization. The question of data AI readiness stems from the very real concern that when AI is pointed at data that isn’t correct or that doesn’t have the right context associated with it, organizations could face risks to their reputation, their revenue, or their customers’ privacy.