Integrated solution provides on-premise cognitive analytics, empowering users to unlock unrealized value of media content
Quantum Corp. has recently announced aiWARE™ for Xcellis®, an on-premise and cloud version of the artificial intelligence (AI) platform from Veritone. Bringing Veritone’s multi-engine AI capabilities into a Quantum StorNext®-managed environment, aiWARE for Xcellis enables users to leverage the power of Veritone’s cognitive services and applications – beginning with optical character recognition (OCR), object detection and speech-to-text transcription as the first network-isolated engines – to extract new value from their on-premise video and audio content. Situating powerful AI processing behind corporate firewalls, the integrated solution is ideal for companies with significant investments in on-premise storage and/ or latency, cost or security concerns about cloud storage.
Maximizing media value with AI
Using cognitive engines to delve deeper and faster into their content, media companies can gain greater insights and drive increased business and organizational success. For example, aiWARE for Xcellis enables users to:
- Create more customized video-on-demand offerings through robust metadata tagging of existing content.
- Provide better ROI data to sponsors by identifying where and how often logos, as well as spoken and text brand integrations, appear in broadcast media and redistributed clips.
- Accelerate postproduction work through enhanced context-based search and discovery.
Optimizing cognitive analytics
Cognitive engines can deliver greater value when they have more data to analyze. The combination of Quantum’s StorNext-powered Xcellis with Veritone aiWARE enables users to apply AI to on-premise content that previously could not be leveraged for this purpose and to add new content for analysis as that content is captured. The integrated solution also provides the option to leverage Veritone’s continuously evolving array of best-of-breed cognitive engines in the cloud, either exclusively or in concert with on-premise engines, when desired or appropriate.
