At its core, AI is the ability of a machine to perform tasks that would normally require human intelligence. It includes key features like problem-solving, learning, perception and language understanding.

Machine Learning is a subset of AI that focuses on the ability of machines to learn from data and improve their performance without being explicitly programmed for specific tasks.

RPA involves the use of software robots, or "bots," to automate repetitive, rule-based tasks. These bots can interact with systems, applications, and data.

NLP is a field of AI that focuses on the interaction between computers and human languages. Gen AI creates new, original content based on patterns it has learned from vast datasets.

AI governance refers to the frameworks, policies, and standards that regulate how AI systems are developed, deployed, and monitored.

Strategic planning and operations are critical elements for any organization aiming to use AI, implement AI and achieve long-term success.