Gartner defines artificial intelligence (AI) as applying advanced analysis and logic-based techniques, including machine learning (ML), to interpret events, support and automate decisions, and take actions. This definition is consistent with the current and emerging state of AI technologies and capabilities, and it acknowledges that AI now generally involves probabilistic analysis (combining probability and logic to assign a value to uncertainty).
Other organizations and individuals may use different definitions. There is no single, universally accepted descriptor for artificial intelligence as there is such a wide range of ways in which AI can support, augment and automate human activities, and learn and act independently.
To capture the opportunity of AI as an organization, however, you will need a rigorous AI strategy — for which you need to articulate and agree on a generally accepted definition focused on what you want AI to accomplish.
Leave room for differences of opinion, but make sure that business, IT and data and analytics leaders don’t fundamentally disagree about what AI means to the organization or you will be unable to design a strategy that captures the benefits.
Note that AI technology vendors are also likely to have their own definitions of the term. Ask them to explain how their offerings meet your expectations for how AI will deliver value.