Digital Nirvana, a provider of leading-edge AI-powered media solutions, today announced a global Alliance Partnership with Avid to bring advanced AI metadata capabilities into the Avid media asset management and production asset management ecosystem. The collaboration is built on the proven integration of Digital Nirvana's MetadataIQ with Avid's MediaCentral l Production Management, which allows users to access the metadata through MediaCentral and Media Composer environments. The integration enables automated, time-coded metadata generation for enhanced content discovery, increased efficiency across production workflows, and extended content monetization opportunities.
We're committed to equipping our customers with cutting-edge tools that enhance efficiency and creativity in media production, said Raymond Thompson, senior director, partners and alliances at Avid. With Digital Nirvana's AI-driven metadata automation and intelligent insights embedded into their production environments, Avid users can more quickly discover the footage they need to deliver stories that resonate with viewers.
MetadataIQ is Digital Nirvana's AI-driven solution for generating time-coded metadata as markers to accelerate content identification, retrieval, and analysis for more efficient news delivery, sports highlight generation, and documentary and episodic television production. The partnership allows Avid users editors, producers, and archivists to generate audio- and video-based insights automatically that are time-coded and ingested directly into Avid's production ecosystem as searchable markers that make it possible to locate relevant content instantly.
Automatically tagging live or recorded media with detailed metadata, including topic segmentation, facial and object recognition, and scene descriptions, MetadataIQ helps Avid customers to reduce content identification efforts by up to 80%. By improving and accelerating content discoverability, this application of intelligent metadata boosts efficiency and facilitates faster time to market.
In fast-paced news environments, MetadataIQ enables producers and editors to locate relevant clips and make rapid editorial decisions, delivering breaking stories to audiences more quickly. For reality TV and documentary production, where vast amounts of raw footage must be organized into compelling narratives, MetadataIQ makes it easier for editors to search specific topics and find visual elements that align with their stories. For media companies managing large archives with relatively scarce metadata, the solution enhances content discoverability by generating video-based insights for stored assets, allowing archivists and editors to quickly retrieve and repurpose specific footage.
The integration of MetadataIQ with Avid solutions unlocks new efficiencies and creative possibilities for media organizations, said Russell Vijayan, director of business development at Digital Nirvana. By automating metadata generation and embedding AI-driven insights directly within Avid environments, we're empowering users to do work with live and archived content more effectively, whether to turn around stories more quickly, explore more storytelling options, or identify and extract further value from content archives.
Through this new Alliance Partnership, Avid will make MetadataIQ available globally along with its portfolio of award-winning technology solutions.
More information about Digital Nirvana and its products and services is available at www.digital-nirvana.com.
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Digital Nirvana, a provider of leading-edge AI-powered media solutions, today announced a global Alliance Partnership with Avid to bring advanced AI metadata capabilities into the Avid media asset management and production asset management ecosystem. The collaboration is built on the proven integration of Digital Nirvana's MetadataIQ with Avid's MediaCentral l Production Management, which allows users to access the metadata through MediaCentral and Media Composer environments. The integration enables automated, time-coded metadata generation for enhanced content discovery, increased efficiency across production workflows, and extended content monetization opportunities.
