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Backblaze, a leader in cloud storage innovation, has partnered with TwelveLabs, a pioneer in AI-driven video understanding, to host a webinar on August 14, 2025. The session will explore how media organizations can leverage Backblaze B2 Cloud Storage and TwelveLabs’ multimodal AI to transform archived video content into searchable, revenue-generating assets.
Backblaze and TwelveLabs to host webinar on August 14, 2025, at 10:00 a.m. PT.
Focus on AI-powered cloud storage for media archive monetization.
Backblaze B2 offers cost-effective storage for vast video libraries.
TwelveLabs’ AI enables semantic search across video, audio, and text.
Webinar to share success stories and a roadmap for archive migration.
Solution unlocks new revenue streams for media organizations.
Scheduled for August 14, 2025, at 10:00 a.m. PT, the webinar titled “Unlock Your Media Archive: Faster Access and New Monetization Opportunities with Cloud Storage and AI” will highlight the synergy between Backblaze’s cloud storage and TwelveLabs’ AI technology. This collaboration empowers media organizations to manage and monetize their video archives efficiently. By integrating cost-effective storage with advanced AI, the solution addresses the challenges of accessing and utilizing legacy content.
Backblaze B2 Cloud Storage provides a modern, scalable alternative to traditional cloud providers, enabling media companies to store extensive video libraries at a lower cost. Combined with TwelveLabs’ multimodal AI, which analyzes visual, audio, and text elements within videos, organizations can perform deep semantic searches across their archives. This capability transforms previously inaccessible content into actionable assets, enhancing discoverability and usability for media workflows.
The webinar will showcase how media companies can migrate high-value content from outdated tape shelves and legacy systems to a cloud-based, AI-enhanced platform. Attendees will gain insights from real-world success stories demonstrating how this integrated solution drives new revenue streams. The session will also provide a practical roadmap for implementing these technologies, making it easier for organizations to enrich and monetize their archives effectively.
“Media organizations are sitting on goldmines of archived content that’s essentially locked away because it’s too time-consuming and expensive to catalog and search manually,” said Pat Patterson, Chief Technical Evangelist at Backblaze. “By combining our cost-effective cloud storage with TwelveLabs’ AI video understanding capabilities, we’re helping companies unlock the true value of their media archives and create new revenue streams from content they already own.”
This partnership between Backblaze and TwelveLabs represents a significant step forward for media organizations seeking to modernize their archives. By leveraging cloud storage and AI, companies can unlock the full potential of their content, driving efficiency and profitability in an increasingly digital landscape.
Backblaze is the cloud storage innovator delivering a modern alternative to traditional cloud providers. We offer high-performance, secure cloud object storage that customers use to develop applications, manage media, secure backups, build AI workflows, protect from ransomware, and more. Backblaze helps businesses break free from the walled gardens that traditional providers lock customers into, enabling them to use their data in open cloud workflows with the providers they prefer at a fraction of the cost. Headquartered in San Mateo, CA, Backblaze (NASDAQ: BLZE) was founded in 2007 and serves over 500,000 customers in 175 countries around the world.
TwelveLabs delivers industry-leading video AI solutions that unlock the full potential of vast video libraries. Our proprietary multimodal foundation models bring human-like understanding to videos, enabling precise semantic search, summarization, analysis and Q&A through easy-to-integrate APIs. This empowers enterprises to effortlessly search, monetize IP, extract insights, and repurpose content at scale.
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