Agentic AI

A class of artificial intelligence systems composed of autonomous, goal-driven agents that collaborate through orchestration layers to perform complex tasks with minimal human supervision, leveraging memory, reasoning and dynamic tool use to adapt and act independently.

AI Impact Index

A quantitative benchmark that reflects the realized business value of AI by aggregating outcomes such as productivity, innovation, customer experience, operational efficiency and financial returns to show how effectively AI supports strategic and operational goals.

AI Maturity

The degree to which an organization has embedded AI into its strategy, operations and culture. Maturity ranges from early experimentation to transformation.

Data Infrastructure Maturity

The degree to which an organization’s data architecture is structured, governed and integrated, ranging from ad hoc and siloed practices to fully optimized, continuously improving systems.

Generative AI

A branch of artificial intelligence that creates original content, such as text, images, audio or code, by using models trained on existing data to respond to prompts with new outputs.

Responsible AI

A set of practices and technologies designed to ensure AI is ethical, transparent and aligned with societal and organizational values.

Traditional (Predictive) AI

A form of artificial intelligence that uses rule-based or statistical models to perform narrowly defined tasks, such as prediction, classification or optimization, within structured environments – relying on human-defined inputs and outputs rather than generating new content.

Trust Dilemma

The misalignment between perceived trust in AI and its actual trustworthiness. This can lead to underuse of reliable systems or overreliance on unproven ones.

Trust in AI

A subjective willingness to rely on AI, shaped by user experience, perception and organizational context. Trust may exist even when the system lacks trustworthy foundations.

Trustworthy AI

An objective measure of an AI system’s reliability, integrity and transparency. It reflects whether the technology is built and governed in ways that justify trust and minimize risk.

Trustworthy AI Index

A measure of how extensively an organization has adopted practices, technologies and governance frameworks to ensure its AI systems are ethical, transparent, reliable and aligned with societal and regulatory expectations.

Quantum AI

The fusion of quantum computing and artificial intelligence that leverages quantum phenomena, such as superposition and entanglement, to accelerate learning, optimization and simulation in high-dimensional systems.