In the television world, generating new revenue can be a significant battle. Broadcasters and video service providers face growing competition for eyeballs, changing viewer demands, cost pressures, and an array of regulations, amongst other challenges. As the television industry evolves, broadcasters and service providers need to find new ways to attract viewers, engage audiences, and increase revenue.
This article will highlight some of the key challenges that broadcasters and video service providers face when monetizing content and offer innovative solutions for generating new TV revenue, including personalized FAST channels, targeted TV advertising, tailored content packages, and shoppable TV.
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In the realm of sports, AI technology is helping content managers and rights holders activate their content in a way that enables them to reimagine the value derived from live sporting events, as well as their archival content, unlocking new revenue opportunities in a dynamic landscape.
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TeraVolt is a solution provider for digital media products and consulting from Hamburg, Germany. Since 2006, the company specializes in developing outstanding new TV experiences and product lighthouses with our clients. TeraVolt offer products and individual solutions, from market-specific consulting and the conception of electrifying product visions to the technical implementation and operation of their offerings. In September 2023, TeraVolt became part of the Qvest Group. With the exclusive combination of TeraVolt’s specific expertise and comprehensive production know-how, Qvest offers its customers added value that is unique in the media and broadcasting industry and beyond.
The AI-based SaaS product – TVXRAY – already has and will further disrupt live sports broadcast.
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MXT-1 is a patented, multimodal and generative AI indexing technology by Newsbridge that uses natural language models to generate human-like descriptions of video content. Capable of indexing more than 500 hours of video per minute, MXT-1 is a game changer for organizations working with media and sports audiovisual content. Leveraging the next-gen technology, users can index vast amounts of content in record time, and search through large video collections easily and efficiently, enabling them to quickly start enhancing, sharing, and monetizing their media assets.
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Media has come a long way from its traditional production journey. The advent of artificial intelligence (AI) has revolutionized the previously linear path of content production, transforming the process by creating new efficiencies and allowing content to have a second life beyond its initial creation and broadcast.
With AI’s robust capabilities in tagging, managing, and preparing content, production teams can now maximize content usage while optimizing resources, creating a more reliable flow of content even in times of high demand or disruption. In this article, I’ll delve into the evolving media ecosystem, highlighting the role of AI in content management, monetization, and the industry’s future.
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The world of video content moves quickly. It’s in ceaseless motion, and this goes hand in hand with technological advancement. In this scenario, it becomes paramount for operators and distributors in the streaming space to create seamlessly functioning architectures. It’s all about tech stacks that must normalize workflows and bring together data from multiple existing services. Of course, this is far easier said than done as content owners wish to enhance their offering with a feed of growing requirements which platform operators have for their own streaming services. Progress is perpetual, think of ratings for movies and series, specific categories for niche programming, or even broadcast identifiers.
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Media content delivery generates a lot of logs. This is a fact well understood at G&L, since we facilitate the distribution of audio and video content, live and on-demand, for some major broadcasters and official bodies to end users. We know well that log data has no lesser commercial value than the content itself. Log misdelivery can lead to short-term profit losses for streaming and broadcasting service providers. These issues can affect advertising exposure assessment, long-term planning, and more. Providing accurate data and analytics alongside our core services is our dedication, duty, bread and butter.
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Unless you are a hermit, you cannot fail to have noticed all the talk about AI at the moment. It is everywhere.
If you believe the hype, then we are all doomed. The machines are ready to take over, and there will be no need for any human to do any work ever again. We are all rather more cynical than that, and we know deep down that we can probably hang on to our jobs at least for a while.
For a long time now, we have known one fundamental thing about computers. They are good at dull, repetitive tasks, while people are good at creative tasks. And, despite the reports in the popular press, AI largely conforms to that rule.
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Media is now a global business. Audiences anywhere are clamoring for content from everywhere.
The K-Pop phenomenon means that a concert taking place in Seoul can attract a huge audience in Seattle and Sienna. In recent weeks sports fans globally have been gripped by world championships: cycling in Scotland; netball in South Africa and football in Australia and New Zealand.
Media connectivity is more than just television coverage of sports or concert relays to theaters.
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“It was the best of times, it was the worst of times…”
What a glorious decade for global media distribution. Content consumption is higher than it’s ever been, borders have been stretched, pushed or removed entirely, “foreign” content is captivating “foreign” audiences and the inaccessible is finally becoming accessible to all.
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