Cloudian, Machine Box Ink Deal to Quicken Stored Content Retrieval

Cloudian, a company engaged in enterprise object storage systems, announced a partnership with Machine Box, makers of machine-learning technology, to develop solutions that generate deep insight into data files in ways that are fast, accurate, and cost-effective.

Cloudian and Machine Box Form Partnership

The two companies, which together demonstrated facial-recognition technology at the NAB Show, held April 9-12 in Las Vegas, are developing solutions that apply machine learning (ML) and artificial intelligence (AI) to media content. Employing facial recognition and other pattern-detection technologies, the joint solutions add metadata to storage objects, making it easier to search and retrieve content.

Machine Box’s ML technology can be trained to recognize any image type: a face, brand, logo, landmark, scene, context, gender, or 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.

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

The combined solution enables content creators to quickly locate and monetize video assets. The product helps producers identify trends and quickly locate media that pertain to those trends. Production companies can also cut costs by quickly finding assets, rather than re-buying or re-shooting them.

“As organizations generate more and more digital media and seek new channels to monetize it, deep insight into media becomes critical,” says Aaron Edell, CEO of Machine Box. “Machine Box and Cloudian can help producers use the power of machine learning and limitlessly scalable, searchable storage to find the content they need, right now.”

“Media search is a major challenge for media professionals, as we saw at NAB this year, where 79% of the attendees surveyed indicated a desire to employ AI/ML techniques to accelerate the search process and improve results,” says 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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