NAB Show Perifery Intelligent Content Engine’s dedicated AI agents and models help users find relevant assets based on AI understanding of content itself, rather than relying on recorded metadata.

Periphery ICE navigating

At NAB Show 2024, Perifery will launch a new software platform, the Intelligent Content Engine (ICE), that uses dedicated AI agents and models to manage, organise and curate media. The main advantage of the ICE approach is greater efficiency, accuracy and impact of searches through media assets such as images, videos, audio files, documents and others, compared to earlier methods that rely on entered metadata.

In contrast to traditional media asset management (MAM) systems, ICE acts as an AI Media Content Librarian by examining, understanding and cataloguing every file within its view, regardless of the existence of any traditional metadata. Driven by a conversational interface that users can speak to directly, ICE can be used to find and retrieve media files through natural language requests. Results are delivered based on AI understanding of content – that is, using machine learning algorithms and pattern recognition to process large data volumes and create AI models – as well as a record of all of the objects, scenes, people or text found within the image or video.

The engine’s intelligent content recognition technique helps users find relevant assets based on the content itself, rather than relying on separate metadata records. The goal is to enhance searchability and improving the accuracy of content recommendations. Users can also perform complex searches using conversational queries, filters and contextual information. Clear justifications accompany search results, making sure users understand why each piece of content matches their query, and how they might alter their queries to get better results.

Perifery NAB

General Manager of Perifery Abhijit Dey said, "We are using emerging AI technologies to move the industry away from passive data management toward dynamic content systems, while simultaneously prioritising the human experience. Our intelligent storage software shifts its attention to proactive content management, where we can support the potential for new monetisation and productivity, and work alongside human-led insights."

By understanding content, ICE aims to improve how organisations manage media over its lifecycle, and increase the efficiency of resource utilization. According to Perifery, by working autonomously, ICE can go beyond asset management to address the challenge of increasing data volume, for instance, and the complexity of digital media assets. Users can pull more value from media assets, collaborate more effectively and accelerate content creation and distribution.

“ICE represents a transformative improvement over traditional approaches to content management and retrieval,” commented Jason Perr, CTO, M&E Solutions, Perifery. “ICE’s use of AI agents and machine learning models across a wide variety of media content types, means users are able to have intuitive interactions with media storage more directly by using natural language requests. In effect, users can now speak directly with their content, and finally go beyond metadata.”