Vbrick has enhanced its video platform with new AI-powered capabilities to revolutionise content management, automate tasks and streamline business processes.
Vbrick's AI-powered enterprise video platform (EVP) aims to enhance the management, sharing, and value extraction from video assets within organisations, as well as improve accessibility, efficiency, and productivity for both content contributors and viewers. The vendor hopes to accelerate this project by introducing these new AI features: summarisation, video assistant support, content intelligence and smart search.
Paul Sparta, Chairman and CEO at VBrick, said:
The totality of an organization’s video content is a treasure trove of unused value. Vbrick’s EVP first federates video content. Then, our video AI distils the value from the video and makes it consumable and available to the appropriate business process, providing enterprises with the capability to address the rapidly accelerating growth of video in the modern day."
The new features build upon Vbrick's existing AI capabilities, including transcription, translation, and user tagging features.
“With video content aggregated in the Vbrick platform, organisations can truly begin to unlock the value of video by streamlining content discovery, automating tasks, and promoting global accessibility, all while providing an engaging experience for the entire enterprise,” added Sparta.
The capabilities are now generally available, while Vbrick plans to continue to grow and deepen its AI capabilities, with new capabilities scheduled for release in the upcoming months.
What Specifically do the New AI Features Entail?
Underpinned by generative AI, Video Assistant extracts critical insights from video content through transcripts. Users can boost productivity by interacting with the assistant, suggesting targeted questions and receiving real-time responses around the video content.
Again, through leveraging generative AI, Summarisation enables video owners to generate video descriptions from the video transcript automatically. This process saves time and improves search functionality, streamlines content discovery, and enhances video metadata.
By harnessing AI and natural language processing, Content Intelligence swiftly analyses videos to provide actionable insights. This capability facilitates content moderation for high-value or sensitive material, creates personalised video recommendations, and tracks and assesses trends in video content.
