Author: Vince Palazzo

Streamline content compliance using Amazon Bedrock and Nova foundation models to automatically analyze content across multiple rating systems, significantly reducing review time while maintaining accuracy and lowering costs.

Efficiently managing vast media archives remains a significant challenge for content owners, particularly when faced with insufficient metadata for quick asset discovery and reuse. Traditional approaches to archive enrichment—whether through human effort and/or machine learning (ML)—often prove prohibitively expensive or time-consuming. In the following, we describe an innovative approach combining generative AI with ML to […]