Build vs. buy might not be the oldest dilemma in the streaming technology book, but it’s close. And when it comes to complex live streaming, the horns of that dilemma are particularly pointed.
The streaming technology market is typified by off-the-shelf, line-of-business applications that do a few things very well, but are extremely difficult or impossible to extend if they don’t do exactly what you want. That lack of customization can be a dealbreaker.
On the other hand, for a broadcaster (or large enterprise, or betting company, or …) to build its own streaming platform from scratch requires a daunting investment of time and resources—resources that would be much better spent on their core business proposition.
So let’s dig a little deeper into both buying and building, as well as look at a middle path that offers media companies the best of both worlds.
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Why is it so important to communicate the value of technology solutions to potential buyers? How will this improve their decision-making or outcomes? Because beyond the ever-present sales and marketing imperative is a more important driver: media businesses can’t fully benefit from the ecosystem of the future without understanding its significance.
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While the shift from ground to cloud playout is well under way, there are several roadblocks on the path to a fully cloud-based infrastructure that will leave the broadcast industry in a transitional phase for years to come. Here, we delve into those obstacles and propose a hybrid approach for this interim period that allows broadcasters to continue utilizing their existing on-premises equipment, while reaping the benefits of cloud technology.
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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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In the world of modern content production, the choice between cloud-based solutions and traditional hardware solutions has become increasingly critical. This is a question that Chyron has tackled along with customers and prospective customers, gaining insight into common assumptions, requirements, and opportunities with regard to cloud-based solutions for live production.
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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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As we approach the end of the summer, marked as the warmest ever recorded, it’s clear that focusing on the environment and sustainability is crucial for all organizations and businesses. The TV and media industry has a dual responsibility. On one hand, it’s crucial to provide the public with accurate information about the situation, and on the other hand, it’s equally important to address the sustainability impact of producing and distributing TV and video content.
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Technology is set to play a crucial role in the fight against climate change by helping us to reduce greenhouse gas emissions, enhance energy efficiency, and promote sustainable practices. Is there potential for AI to also play a part in this? Google DeepMind certainly thinks so and is using the latest AI developments to help fight climate change and build a more sustainable, low-carbon world. But although AI has received a lot of attention since the launch of the large language model, ChatGPT, last year, AI and machine learning (ML) are not new concepts. Content creators, technology vendors, and service providers in the video industry have been using ML for some time. The difference now is that generative AI models have become more advanced, and are now being used by a wider audience. If organizations like Google DeepMind aim to use generative AI to fight climate change, can the video industry also use generative AI to optimize systems, create more sustainable consumption habits, and reduce the industry’s carbon impact?
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The media industry is experiencing the transformative impact of AI and ML technologies. These innovations have revolutionised various aspects of content creation, distribution, marketing, and monetization.
AI on entertainment platforms has led to a host of benefits, including data-driven enhanced efficiency, better personalization, and more informed program and content decision-making capabilities. AI in media production and post production has enhanced light ray rendering capabilities and can even edit the production using prescribed user preferences. In sports, AI editing can go as far as making whole game highlight reels. In archive semantic AI can discover scenes with car chases or even romantic scenes. There is no longer a debate about whether AI will happen; it is here, and it is here to stay.
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