We are happy to announce the official release of Media2Cloud 3.0. This release helps AWS customers simplify and expedite their media migration workflow into AWS. It provides a framework to implement artificial intelligence and machine learning (AI/ML) to create frame-level descriptive metadata about content. This new version of Media2Cloud still includes the features that customers have used since its first release in 2018. For example, features like serverless checksum validation, enhanced technical metadata generation, automated video, image and audio proxy generation, and granular metadata extraction with Amazon Rekognition and Amazon Transcribe.
AWS Customers with digital media assets can use the Media2Cloud framework to create an automated content processing pipeline. When files are uploaded to an Amazon Simple Storage Solution (Amazon S3) bucket, the Media2Cloud workflow automates key steps like creating standardized metadata, identifiers, proxies, and adding machine learning metadata to content as a foundation. This makes it easier to manage and search for all assets as libraries or archives grow.
AWS Partners can accelerate the migration of content to AWS for customers by leveraging the Media2Cloud framework. AWS Partners are certified to deploy and customize Media2Cloud based on a customer’s requirements. This can include taking the Media2Cloud output and integrating AI generated metadata with Media Asset Management platforms. AWS Partners can also create custom AI/ML models for use by Amazon Rekognition Custom Labels. We encourage any AWS Partner interested in implementing or customizing Media2Cloud for their customer implementation to reach out to the AWS Partner team about how they can become certified. Amazon