Cloudian Adds ML Tools To Search

Cloudian is the latest storage products vendor to introduce AI into its line-up. It has allied with Machine Box to apply ML-driven image recognition to metadata and drive more intelligent media search.

The two companies, which together demonstrated facial-recognition technology at the NAB Show, say they are developing solutions that apply machine learning (ML) and AI to media content. Employing facial recognition and other pattern-detection technologies, the solutions add metadata to storage objects, making it easier to search and retrieve content.

Machine Box says its ML technology can be trained to recognize any image type: a face, brand, logo, landmark, scene, context, gender or even inappropriate content. When the technology identifies such an image in content it can then add metadata about it to the storage object. Machine Box models can run anywhere, in the cloud or on-premises behind a firewall, eliminating the need to send private data to a public cloud endpoint for processing.

“Machine Box provides both pre-trained and highly-trainable ML models, so users can tune the tagging and recognition over time using their own content,” explains Aaron Edell, CEO of Machine Box. “This approach offers significantly more accurate results than those of algorithms that rely on generic content.”

Cloudian’s HyperStore object storage systems include embedded metadata tags, letting users label data and enabling search via integrated tools such as Elastic Search.

“Media search is a major challenge for media professionals, as we saw at NAB this year, where 79 percent of the attendees surveyed indicated a desire to employ AI/ML techniques to accelerate the search process and improve results,” said Jon Toor, CMO at Cloudian. “Combining AI with object storage allows all content, whether created in the past, present or future, to gain added value for increased profits and greater content flow.” 

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