Summary
Summary: Vizrt’s partnership with Aiconix’s DeepVA AI platform brings advanced AI-assisted metadata enrichment capabilities to Viz One’s media asset management workflows. This integration empowers content creators to unlock the full potential of their media archives, streamline workflows, and deliver more localized, monetizable content.
AI-powered metadata: unlocking the value of media archives
For content creators, the ability to efficiently manage and retrieve content from vast media archives is critical. However, traditional methods of metadata tagging are time-consuming and often inconsistent. By integrating DeepVA’s composite AI platform into Viz One, Vizrt customers can now automate metadata enrichment, transforming their archives into searchable, actionable assets.
“Media archives are only as valuable as your ability to find and use what’s in them,” says Jochen Bergdolt, Head of MAM at Vizrt. “With DeepVA, Viz One customers can automatically generate AI-driven metadata that provides deep insights into their content. This not only saves countless hours of manual tagging but also makes it easier to discover, reuse, and monetize assets – whether for news, sports, or entertainment.”
Taking a pragmatic, practical approach to AI
Broadcasters and content/rights owners are facing mounting pressure to do more, with less. The sheer volume of raw content being produced, ingested, and logged is growing at a rapid pace. So relying on often decades-old workflows just won’t cut it.
But is AI really the answer? The short answer is “Yes”. But, in reality, the answer is that AI is only useful when applied sensibly. Without controls in place, AI metadata generation risks bombarding users with too much “noise” in their search results, and could get expensive if not properly managed.
Viz One’s integration with DeepVA helps address these challenges by providing new ways to index and search this content. By grouping semantically-similar sections of clips into “scenes”, and providing “related content” options, users can more easily navigate to content relevant to their initial search, speeding up their workflows and unearthing content they may not have otherwise discovered.
Seamless integration with Viz One’s containerized architecture
The recent launch of Viz One 8 introduced a containerized architecture that allows each service to scale, self-heal, and update independently. This architecture creates the perfect environment for AI-powered metadata enrichment automation. DeepVA’s cloud-agnostic, containerized AI service integrates seamlessly with Viz One, offering content creators flexible deployment options—on-premises, in the cloud, or in hybrid environments.
This flexibility ensures that content creators can incorporate AI into their workflows without compromising security or performance. DeepVA’s “sovereign AI” approach further enhances this by allowing broadcasters to deploy AI capabilities within their own secure environments, ensuring sensitive data never leaves their infrastructure.
Transforming content workflows with AI
The integration of DeepVA into Viz One delivers tangible benefits for all content creators, from enterprise businesses through to the world’s biggest broadcasters, including:
