Capabilities
AI & Intelligent Systems
A model is not a system. Skyneski treats intelligent systems as models plus data, infrastructure, monitoring, and a defined human decision.
AI & Intelligent SystemsSkyneski
- 01Question
What the system is for
- 02Data
What the model is allowed to see
- 03Model
An estimate, not an authority
- 04System
Where the estimate is used
- 05Oversight
How a person reviews it
- 01
Machine learning
Models built for a stated question, with the limits of the data kept in view.
- 02
Predictive systems
Forecasts and rankings that remain estimates, with no claim of guaranteed outcomes.
- 03
Automation
Repeated work handed to software where the rule, or the model, is explicit.
- 04
Applied AI
Intelligence attached to a domain problem, not a general demonstration.
- 05
Operational fit
How a model is deployed, observed, and revised once it leaves a notebook.