How AI is revolutionizing content management and workflows for media-centric companies
For years, studios, broadcasters and sports leagues have grappled with managing vast amounts of unstructured data – from video and audio files, to images and documents. This data holds a lot of potential value, but the ability to effectively search, discover and utilize it has been limited. The media and entertainment industry has been at the forefront of technological change, from the film-to-digital transition to the rise of streaming.
One persistent challenge has been managing unstructured data. Studios and broadcasters deal with countless hours of video and audio, millions of images, and heaps of documents. Making sense of this data has traditionally relied on manual processes, like manual metadata tagging — a time-consuming and often inaccurate endeavor. AI is finally unlocking the potential of unstructured data, transforming workflows, creating new opportunities and fundamentally changing how we interact with technology.
AI is enabling companies to extract meaningful, structured data from unstructured sources. Instead of relying on manual tagging, AI can analyze video and audio to identify key events, recognize faces, and even understand the context of conversations. This unlocks powerful new ways to search and discover content. For example, a news broadcaster can quickly find relevant clips for a story by describing the events they want to show in natural language, rather than sifting through hours of footage.
Beyond content discovery, AI is also streamlining workflows across the digital media value chain. Qvest’s Automated Data Extraction Accelerator built on the NVIDIA NIMs platform, can automatically extract key information within and across complex documents — regardless of length or format, making it easier to gather insights and streamline workflows. AI can also play a crucial role in content moderation, automatically detecting potentially culturally-or-age-inappropriate content in text, images, audio, and video, helping you keep your platforms safe and inclusive. This not only saves time and resources, but also improves accuracy and reduces the risk of errors.
The transformative power of AI extends far beyond automating existing tasks. It's poised to revolutionize how we interact with computers and media in profound ways. For decades, we've been limited by low-bandwidth interfaces like the keyboard and mouse. AI is breaking those barriers by enabling computers to understand voice, vision and the context of our environment.
This is paving the way for a future where your media systems intuitively understand your needs and preferences. For instance, your TV might recognize that you're watching with your children and suggest age-appropriate content. Or consider how AI can enhance content consumption — instead of reading a text description of a product, you see a dynamic visual representation. These richer interactions will transform not just how we consume media, but also how media-centric companies create and deliver it.
AI’s ability to understand and process unstructured data is enabling more intuitive and efficient ways of consuming content in our professional and personal lives. Rapid advancements in AI by companies like NVIDIA, and the availability of powerful tools and platforms that accelerate its deployment.
To learn more about unlocking the potential of unstructured data, watch Qvest’s Applied AI Practice Co-Lead, Christophe Ponsart’s on-demand session from NVIDIA GTC.
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