Computer vision (CV) is moving from “nice‑to‑have analytics” to governed, outcome‑driven systems that detect, measure, and trigger safe actions across industries. The winning SaaS pattern: capture signals at the edge, run small/optimized models for fast perception, ground decisions in policies and context, and execute typed, policy‑gated actions with simulation and rollback in the customer’s systems. … Read more
Predictive analytics in SaaS has matured from reporting to decisioning. The winning pattern is simple: collect clean signals, engineer stable features, apply fit‑for‑purpose models, and connect predictions to typed, policy‑gated actions with simulation and rollback. Operate to explicit SLOs for quality and latency, quantify ROI as cost per successful action, and design for privacy, fairness, … Read more
Data is the operating system of AI‑powered SaaS. It determines what the product can safely decide and do, how fast it responds, how trustworthy it feels, and whether unit economics work. Winning platforms treat data as a governed product: permissioned by identity, normalized into a shared semantic layer, grounded with provenance and freshness, observed for … Read more