With the adoption of AI is set to skyrocket over the next few years, companies know they are unlikely to succeed unless AI can access to contextually relevant, high-quality data. That makes data governance critically important to AI success. But many organisations are struggling to govern their data which is typically scattered across a distributed data estate. Many are using multiple stand-alone data governance tools and with no standard way to exchange metadata, data governance is slow and fragmented with metadata silos, complexity and rework. Also, there is too much data and so we are well past the point where people can govern data on their own. So how do you solve this problem<\/p>\n
In this keynote, Mike Ferguson details what needs to be done to govern data in the era of AI, how companies can conquer the complexity they face, by implementing a unified approach to data governance that combines data catalogs with data observability and AI Agents to continuously understand, monitor and detect data incidents across your organisation, assess their severity and automate actions to consistently enforce policies across a distributed data estate. The session will cover:<\/p>\n