STARWEST 2022 - Artificial Intelligence

More companies are building ML and AI systems and applications, but they lack the same rigorous testing because many Testers don't know how to approach testing them. After having built and tested many different ML models and systems and talking to ML teams of small and large organizations, one thing always stands out: "We need better testing and automation in our MLOps lifecycle." So, we'll start by demystifying Machine Learning by breaking down a Prediction application so the audience better understands the "magic algorithms" behind the scenes. We'll explore an example of ML systems that...