Latin America. Vizrt unveiled AI-based advancements focused on speed, intelligence, and accuracy in Viz One 8.1, its multimedia asset management (MAM) system.
Broadcasters and content owners today face increasing pressure to deliver more content, faster, and on more platforms. With the increasing volume of raw material and the limitations of manual recording of shots and archival research, traditional workflows are no longer sustainable.
To address these common challenges, Viz One 8.1 integrates with aiconix's DeepVA sovereign AI platform, automating key stages of media management and enabling teams to move away from time-consuming manual processes to manage media quickly and accurately.
With the integration, AI-powered visual recognition in Viz One 8.1 allows the user to find the right content in seconds. Add visual understanding to files and workflows, automatically identifying and tagging faces, objects, and scenes within video footage, including using trainable custom models.
Automated AI metadata generation eliminates the need for manual registration. Instead, teams can review AI-recorded metadata, train custom models for unknown entities, and perform optional QA reviews. Reliability is significant: up to 50% faster logging accuracy, 10x faster logging workflows, and five times faster search and discovery.
With increased time efficiency, finding the best clips, scenes, and themes dramatically expands the possibilities for content reuse, compliance, and even monetization.
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