Obtaining licensing rights can be an involved process, especially when buying rights-managed content, so we asked one of our licensing experts, Jay Bailey, to share some wisdom. Jay has been our vice president of TV and film licensing for nearly a decade, so he knows a thing or two about this topic. Here's what he had to say.
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Summary: We share a guide we’ve developed that provides a roadmap for businesses to effectively leverage Large Language Models (LLMs), emphasizing their potential to revolutionize operations in the AI-driven business landscape. The guide outlines steps to identify suitable use cases for LLM integration, including areas for automation, data availability assessment, scalability considerations, and common...
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Summary: Media monetization strategies can take two forms— indirect or direct revenue streams for content owners. Indirect monetization repurposes existing content, leverages AI for content processing and insights, and optimizes media archives to reduce costs and enhance profitability. Direct monetization involves licensing or selling content directly to consumers or businesses. It is facilitated by AI-powered...
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A Q&A with Stephen Sidlo, Global Media & Marketing Director, Airspeeder & Alauda Aeronautics, and David Candler, Senior Director, Customer Solutions, Veritone Summary: We’ll explore the historical link between transportation innovation and sports, from the steam locomotive era to modern electric flying cars. Airspeeder, the world’s first racing series for electric flying cars, aims to...
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Summary: The media and broadcast industry faced numerous challenges in 2023, including strikes disrupting production and shifting towards alternative viewing options, while demand for fresh content remained high. Transformation in media management, leveraging AI, is crucial for organizations to thrive. Examples include auto-tagging live content for better distribution and repurposing broadcast content for increased revenue...
Read More Summary: The media & broadcast landscape of 2023 faced unprecedented challenges, including prolonged strikes, streaming service struggles, and shifting viewer habits towards user-generated content. These trends underscore the need for a new approach to media management, where AI can revolutionize the process of content creation and distribution for effortless scale and efficiency, keeping pace with...
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As discussed in our previous blog, artificial intelligence (AI) has been making a significant impact on just about every industry, and one of the prime examples is sports. The global sports AI market has grown substantially due to advancements in machine learning and generative AI, increasing from $2.1 billion in 2020 to an estimated $16.7...
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Summary: Gary Warech discusses the growing use of AI in sports and entertainment, noting its impact on player analytics, fan engagement, and the exploration of AI for internal efficiency and monetization of media content. Jay Bailey highlights AI’s role in making vast content archives accessible and searchable, facilitating the creation of new content forms, and...
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Metadata tagging is the process of creating a term that describes a keyword or phrase and assigning those tags to a media asset. A media asset, as described in our blogs about digital asset management and media asset management, is any content that comes in one of five forms: audio, images, video, documents, or HTML....
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Digital asset management (DAM) consolidates an organization’s digital content into a single location, making it easier to access, manage and distribute with internal teams, partners, and customers. DAM is business-critical for any individual or organization that actively produces digital content and media assets on a regular basis. Exacerbated by the 2020 pandemic, the demand for content...
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