Good data can create good models, but how can we validate that our models are well-trained, fix mistakes, and address dataset gaps? The key lies in proper data management and model evaluation. Effective model evaluation ensures your models are accurate, robust, handle real-world variability gracefully, fair, and explainable. Developers can adopt advanced techniques like automated pipelines, explainable AI tools, and bias detection to meet these goals. FiftyOne provides an intuitive approach to evaluating datasets and models, allowing developers to visually inspect samples, identify labeling errors, streamline evaluation processes with interactive dashboards, lay the foundation for fairness, explainability, and better decision-making. With FiftyOne, you gain powerful tools to visualize, analyze, and improve your models in ways that traditional techniques simply can’t match. The journey doesn't end here, model evaluation is an ongoing process that evolves with your data and objectives. By adopting advanced techniques and tools like FiftyOne, you’re not just building models; you’re building reliable, robust, and fair AI systems that solve meaningful problems.