Segments

AI Foundations & Orientation

This cluster provides foundational knowledge and organizational orientation for applying AI responsibly across products and domains.

Model order
  1. Knowledge domains
  2. /Thematic areas
  3. /Segments
  4. /Building blocks
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Segment
Type
Classification
ConceptCapabilities

Augmentation

Concept for deliberately extending human capabilities through tools, processes and interfaces to support decision-making and productivity.

#Product#Delivery
ConceptCapabilities

Automation

Automation refers to automating repetitive tasks and processes using software, scripts or tools to reduce manual work and human error.

#DevOps#Software Eng.
ConceptFoundations

Applied Artificial Intelligence

Practical approach to applying AI methods to real business and technical problems, focusing on operationalization, data integration and measurable outcomes.

#AI#Machine Learning
ConceptFoundations

Artificial Intelligence (AI)

A high-level concept for building systems that perform tasks requiring human-like perception, learning and decision-making.

#AI#Data
ConceptLimits

Bias in AI Systems

Explains systematic distortions in data and models, their causes, and practical measures to detect and mitigate bias in AI systems.

#Artificial Intelligence#Data
ConceptLimits

Uncertainty

A conceptual framework describing knowledge gaps, variability and ambiguity that influence decisions in engineering, architecture and product management.

#Architecture#Governance
ConceptSystem Perspective

Human-Centered AI

A concept for designing AI systems that places human needs, values and workflows at the center.

#AI#Software Eng.
ConceptSystem Perspective

Socio-Technical Systems

Socio-technical systems describe systems in which social and technical components are inseparably intertwined.

#Product#Delivery