Episode 29 of '100 Days of Data' dives into the world of computer vision—how machines learn to 'see' and interpret images like humans. Jonas and Amy explore the fundamentals of transforming pixels into patterns using convolutional neural networks (CNNs), discuss real-world industry use cases, and highlight the importance of robust training data. They also touch on emerging models like Vision Transformers, the difference between recognition and detection, and the challenges of adversarial examples. With insights from manufacturing, retail, and healthcare, this episode offers both technical foundations and business applications for leaders and practitioners looking to harness the power of visual AI.