This AI enables automating the metadata generation for visual content, thereby optimizing media management systems. Coactive primarily targets teams of data science and content optimization by offering them the ability to automatically tag visual content, which significantly reduces costs and processing time. The solution applies an AI model that understands domain-specific context, thereby improving the discoverability of digital assets. It is particularly useful in the entertainment, e-commerce and social networks industries, where effective management of large digital archives and content moderation are crucial. Coactive enriches the user experience by accelerating data search and analysis, thereby unlocking opportunities for monetization of otherwise underutilized content. It also reshapes workflows by enabling easy integration with existing systems via APIs, thereby supporting the modernization of digital asset management infrastructures.
For media and entertainment companies managing large video archives, this feature helps improve the discovery and the monetization of content. Using artificial intelligence to dynamically tag video segments, this speeds up sales, marketing and production, making decade-long video archives readily exploitable.
Retail and e-commerce companies greatly benefit from the system's ability to better tag product databases and marketing assets. This helps consolidate the processes of asset management workflows and optimize the analysis of visual data sets, thereby transforming operational efficiency.
This feature is crucial for online communities aiming to reduce the time spent reviewing potentially harmful content or content that violates brand guidelines. It enables detection and analysis of trending content, automates content moderation and removes infringing content efficiently and quickly.
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