AI systems take inputs (data, text, images, or signals), transform them with models or rules, and produce outputs such as classifications, predictions, summaries, or actions. Modern AI blends statistical learning with software engineering to deliver reliable, repeatable results at scale.
- • Learn from data to improve performance over time.
- • Recognize patterns humans may miss at scale.
- • Automate decisions with guardrails and human oversight.