axle ai integration with Seagate Lyve Cloud featured in Seagate Solution Brief
Axle ai CEO Sam Bogoch to discuss details at TechCrunch Disrupt conference
Seagate Technology Holdings plc, a world leader in data storage infrastructure solutions, has just published a technology brief covering its collaboration with axle ai, the leading independent vendor of media search software.
Recommended AI News: Salesforce Achieves Net Zero Across Its Value Chain and 100% Renewable Energy
There is a worldwide explosion of video content. The market intelligence firm IDC has estimated that the sum of data generated globally by 2025 is set to accelerate exponentially to 175 zettabytes. A growing, double-digit percentage of this storage is used to house media files. Meanwhile, approximately 400,000 video teams worldwide are responsible for capturing, editing, and managing this content, but much of it becomes difficult to leverage soon after capture; in a report commissioned by Seagate, IDC estimates that more than two-thirds of data stored is not readily searchable or available for access after initial use.
Video files have become large and numerous, while ongoing capture is so pervasive that most content storage requires a hybrid cloud strategy. Ideally, the most immediate media is captured on solid-state drive (SSD) and hard disk drive (HDD)-based storage solutions and then transferred to a cloud infrastructure allowing remote access and global search. This is ideally suited to Seagate’s new Lyve offerings, which span a wide range of media use cases with powerful and affordable capabilities.
Recommended AI News: VMware Cloud On AWS GovCloud (US) Achieves FedRAMP High Agency Authority To Operate
Seagate and axle ai recently entered into a broad-ranging solutions agreement where a full range of Seagate products and services are now offered by axle ai in conjunction with their own media indexing, tagging, and search software.
These joint solutions include:
1. Seagate direct attached SSD, HDD, and RAID solutions
2. Seagate’s Lyve Mobile solutions
3. Seagate’s Lyve Cloud STaaS
Each configuration includes an instance of axle ai 2021, the company’s browser-based remote media search software. The software includes a browser front end allowing multiple users to tag, catalog and search their media files, as well as a range of AI-driven options for automatically cataloging and discovering specific visual and audio attributes within those files. For instance, audio tracks can be automatically transcribed, with the resulting transcript immediately searchable in the timeline; likewise, axle ai provides face recognition with integrated training for new faces over time. The modular nature of the system supports additional plug-ins for object and logo recognition, and identification of sports highlights. The software can be used to create distributed team workflows for storage pools that would otherwise be siloed and hard to search.
Given the vast amounts of video – often many terabytes – that can be accumulated by a video team in even a single shoot, this system allows rapid search and management of those files. The software also includes a range of plug-in panels for Adobe’s Creative Cloud application suite software, including Adobe Premiere Pro, Adobe AfterEffects, Adobe Photoshop, Adobe Illustrator, and Adobe InDesign. These panels allow creative team members on any Mac or Windows laptop to directly search, access, and download media files wherever they are located.
Sam Bogoch, CEO of axle ai, said “For years, creative teams have expressed the need for a simplified and cost-efficient way to store, search and manage their content. Legacy solutions for broadcasters have been expensive and complex, but these powerful Seagate-axle ai bundles manage to bring state-of-the-art AI and MAM (media asset management) capabilities to the widest possible range of creative teams. They work at nearly any scale, from terabytes of storage on set, to petabytes of storage in the cloud.”
Recommended AI News: Neuton.AI joins Arm AI Partner Program to Accelerate Deployment of Machine Learning at the Edge
[To share your insights with us, please write to sghosh@martechseries.com ]
Comments are closed.