Media producers and broadcasters need an efficient way of finding and retrieving media assets without relying on traditional metadata.
During my interview with Dave Zabrowski, CEO of Perifery, he explained to me that media producers and TV broadcasters have difficulties with using traditional metadata can be time consuming and may have errors, MAM systems have difficulty searching and organizing media using metadata, and digital assets can have complex types of categories and formats.
To solve this challenge, Perifery created the Intelligent Content Engine (ICE). The Intelligent Content Engine simplifies and improves media asset management for media producers and TV broadcasters by leveraging advanced AI agents and models to autonomously manage, organize, and curate diverse media content. Unlike traditional MAM systems that depend on manual metadata entry, ICE functions as an AI Media Content Librarian, offering users the ability to find and retrieve files through natural language requests and conversational queries. This significantly enhances search efficiency, accuracy, and relevance by understanding the content itself, rather than relying on metadata. ICE also facilitates complex searches, provides clear justifications for search results, and improves content lifecycle management, thereby enabling organizations to maximize their media assets’ potential, boost collaboration, and accelerate content creation and distribution. This transformative solution addresses the challenges of increasing data volume and complexity, promoting proactive content management and unlocking new monetization and productivity opportunities.
To learn more about Smart MAM, visit Perifery Transformations.