How to differentiate between AI, machine learning, and deep learning

Sage, a purveyor of business and accounting software, conducted several artificial intelligence (AI) surveys where 43% of respondents in a US survey, and 47% of respondents in a UK survey said that they had no idea about what AI was about. Vendors are rushing myriad AI solutions to market before the ultimate decision-makers and buyers are up to speed on what they need. For CIOs and technology leaders, the plot further thickens when they are asked by the CEO about the specifics of what AI can accomplish--and how AI differs from machine learning and deep learning. Very quickly, these technology leaders recognize that they need to put AI and its various subcategories (e.g., machine learning, deep learning) into practice--and into a common business vocabulary that everyone can understand. The first step is communicating what the definitions are for AI, machine learning (ML), and deep learning.