Computer vision is an AI pattern where systems automatically interpret and act on visual data from images and video. Models perform tasks such as classification, detection, segmentation, tracking, OCR, and video understanding using deep neural networks and image processing. These models are integrated into applications to automate or augment tasks that previously required human visual inspection. Effective solutions combine data pipelines, model training, deployment, and monitoring tailored to the target environment (edge, mobile, cloud).

Managed AutoML platforms package feature engineering, model selection, training, deployment, and monitoring into a guided workflow so teams can ship predictive models quickly without owning a full bespoke ML stack.

Simulation-Optimization combines computational simulation models with optimization algorithms to find optimal decisions under uncertainty and complex constraints. It runs many simulation scenarios to evaluate candidate solutions, using techniques like genetic algorithms, Bayesian optimization, or reinforcement learning.