AWS for M&E Blog

AWS Studio in the Cloud: A MovieLabs 2030 Showcase case study

MovieLabs 2030 Vision logo

Motion Picture Laboratories, Inc. (“MovieLabs”) is a joint research and development venture founded by major Hollywood studios with a mission to find innovative solutions to industry challenges for both its member studios and the broader industry ecosystem. The organization helps architect next-generation production technologies, secure creative assets, streamline and automate distribution chains, and deliver new experiences to consumers.

MovieLabs selected an Amazon Web Services (AWS) case study, AWS Studio in the Cloud, as one of the first to be featured in its 2030 Showcase Program. The program highlights organizations with solutions in the Media & Entertainment (M&E) industry that demonstrate one or more of the 10 principles in the MovieLabs 2030 Vision and illustrate aspects of the vision implemented today. AWS is recognized in the showcase program for its exhibition of an end-to-end production workflow at the 2022 International Broadcasting Convention (IBC). The workflow implements 5 of the 10 principles in the 2030 Vision.

The end-to-end production workflow ran entirely on AWS and featured many of the key components of a real-world production: pre-visualization, shoot, ingest, editorial visual effects (VFX), compositing, color/finishing, and quality control. AWS Partners were key to the success of the demonstration and proved that integration and interconnection between solutions is essential on the path to the 2030 Vision.

Read the case study on the MovieLabs 2030 Showcase website to learn more about this interconnected post-production environment and modern toolset operating in the cloud.

Kim Wendt

Kim Wendt

Kim Wendt is a Solutions Architect at Amazon Web Services (AWS), responsible for helping global Media & Entertainment companies on their journey to the cloud. Prior to AWS, she was a Software Developer and uses her development skills to build solutions for customers. She has a passion for continuous learning and holds a Master's degree from Georgia Tech in Computer Science with a Machine Learning specialization. In her free time, she enjoys reading and exploring the PNW with her husband and dog.