Despite the availability of hundreds of generative AI tools, pre-production environments are still struggling to find a semantic archive search solution that is technically feasible and effective in the real world. Enter FRAMES.
The FRAMES project (Federated Retrieval, Agentic Media Environment and Software Defined Workflows) sets out to alleviate these pressures in a bold stroke, by designing an intelligent media production framework that dissolves traditional silos by standardising archival asset management and harnessing agentic AI to automate tagging, enhancement, and semantic retrieval.
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ProAV convergence: From control rooms to experience centres
Broadcast and proAV technologies are converging, creating flexible experience centres that can serve remote and on-demand audiences from shared production infrastructure.
Beyond the broadcast: Creating modern, multi-platform experiences
As audiences move between television, mobile, social, and immersive platforms, media organisations must create connected experiences that expand engagement without multiplying production costs.
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Streaming’s discovery problem: Who will fix viewing fragmentation?
As the number of services and viewing options has grown, audiences have more choice than ever. Yet, for viewers, finding something to watch is often still an exercise in frustration.
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Call my agent: Agentic AI begins buying media advertising
AI agents have the potential to automate media transactions at scale, but today’s focus is less about fully autonomous workflows and more on experimentation and efficiencies.
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NAB Show New York: The stakes could not be higher
As media, technology, and politics become increasingly intertwined, the stakes extend far beyond the balance sheet.
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