Aaron Gavzy

When it comes to governing the use of AI, compliance starts from the top. It is vital that AI policies are not developed in a vacuum and that company leadership is also involved with their development to ensure that the effort supports the strategic direction of the organization itself.

The truly data-agile organization requires an architecture that provides access to needed data as quickly as possible, applications that access and analyze large amounts of data looking for trends, and user interfaces that allow everyone to query information without having to rely on others for analyses.

Those organizations that embrace the data privacy regulations before they are required can use this as a competitive advantage.

As we emerge from the pandemic, organizations that examine how they are using information will outperform their industry peers.

Perhaps the time has come to define a set of ethics associated not with how the data is accessed or manipulated but with the purpose for which it is analyzed.