This cutting-edge software platform is designed to redefine the management, organization, and curation of multimedia assets, including images, videos, audio files, documents, and more. ICE differentiates itself from traditional methods by employing AI agents and models to enhance search efficiency and accuracy, moving away from reliance on manually entered metadata.

A New Era in Media Asset Management

Unlike conventional Media Asset Management (MAM) systems, ICE operates as an AI Media Content Librarian. It has the capability to analyze, comprehend, and catalog every piece of content within its system, making the presence of traditional metadata unnecessary. Featuring a user-friendly conversational interface, ICE allows users to effortlessly retrieve media files using natural language commands. It delivers search results based on the AI’s understanding of the content, identifying objects, scenes, people, or text within the files.

The platform’s sophisticated content recognition technology enables users to quickly locate relevant assets by content, enhancing searchability and content recommendation accuracy. ICE supports complex searches with conversational queries, filters, and context, providing clear explanations for why certain content matches a user’s query.

Redefining Content Management and Productivity

Abhijit Dey, General Manager of Perifery, highlighted the company’s commitment to leading the media asset optimization sector by integrating AI technologies and focusing on user experience. Perifery’s approach aims to transform passive data management into dynamic content ecosystems, offering new opportunities for monetization and productivity, complemented by human insights.

ICE not only facilitates effective content lifecycle management and resource utilization but also autonomously addresses the growing challenges related to data volume and complexity in digital media assets. This enables organizations to maximize their media assets’ potential, improve collaboration, and speed up content creation and distribution processes.

Beyond Metadata: The Future of Media Content Management

Jason Perr, CTO of M&E Solutions at Perifery, emphasized that ICE marks a significant advancement over traditional content management and retrieval systems. By utilizing AI agents and machine learning models across various media content types, ICE allows for intuitive interactions with media storage through natural language, signaling a new phase in media content management that surpasses the limitations of metadata.

Perifery™, as a division of DataCore, is at the forefront of providing advanced archive and workflow solutions to the evolving media and entertainment sector. Its solutions are widely recognized and adopted globally, enabling media and entertainment companies to overcome traditional limitations and accelerate their transition to advanced infrastructure, edge, and cloud technologies. These transformative solutions optimize storage resource utilization, driving substantial business growth and evolution.

News source: https://www.perifery.com/