The foundation of intelligent computing, AI enables systems to perform cognitive tasks similar to human activities, such as visual perception, speech recognition, and data-driven decision-making.

ML is the algorithmic engine that drives AI forward. It identifies patterns and relationships within data to create models that make predictions on new data.

Computer models designed to emulate aspects of the human brain, neural networks use elements that function as interconnected neurons. These networks can identify patterns across various types of input data.

Deep learning involves using vast amounts of data and multiple layers of neural networks to achieve self-learning and adaptation. This capability helps drive continuous process improvement.

GenAI, a subset of deep learning that focuses on creating new data or recreating from existing, learned content.