This video from AWS re:Invent 2023 explores how Amazon SageMaker Canvas democratizes machine learning through no-code/low-code capabilities. The speakers demonstrate new features like fine-tuning foundation models, natural language data preparation, and visual data flow diagrams. They showcase how business users without ML expertise can build custom models, generate predictions, and collaborate with data scientists. A case study from Thomson Reuters illustrates how SageMaker Canvas enabled non-technical teams to successfully implement ML solutions through hackathons. The session highlights Canvas's ability to make ML accessible across organizations, from ready-to-use models to custom model building and deployment.