Organisations are investing significant time and resources into understanding what data they hold, where it is stored, who has access to it, how it may be used and how it should be protected, making data governance a boardroom issue not merely an IT one. With increasing regulatory scrutiny, cybersecurity risk and dependence on data-driven technologies, that focus is understandable.
But there is a gap that is receiving far less attention.
As artificial intelligence (“AI”) becomes embedded into the systems and tools used by organisations, many businesses appear to assume that if their data is properly governed, their AI is too. That is not necessarily the case.
Data governance and AI governance are closely connected, but they are not the same thing.