SELECTED DATASCAPES
DATASCAPE: Automation Intensity
Composite signals reflect the degree to which execution, coordination, and decision processes are performed by intelligent systems.
Combines datasets for physical mechanisation, control systems, electronic and digital workflows, machine learning, sensing, and adaptive feedback, toward continuous learning systems.
Automation has evolved in distinct waves:
- 1850-1920: productivity increases with intelligence embedded in process
- 1930-1970: intelligence moves from humans into control systems
- 1970-2005: digital coordination and distribution of intelligence
- 2005-2025: AI systems introduced adaptive decision layers
- 2025-2035: Shifts intelligence toward environmental infrastructure
DATASCAPE: Human-AI Interaction Intensity
Relative depth of human interaction with AI systems in differing contexts.
Interaction is highest where AI supports learning, decision guidance and cognitive tasks.
DATASCAPE: Cognitive Infrastructure Intensity
Composite signals of connectivity, sensing, spatial compute, and human-AI interaction to define environments capable of supporting adaptive, perceptual technologies.
- East Asia (incl. China) demonstrates strong sensing density and rapid infrastructure deployment
- North America shows deep compute capacity and platform ecosystems
- Northern Europe exhibits balanced integration supported by coordinated public infrastructure
- Other regions show partial development, often strong in connectivity, but less mature in sensing or spatial computing
