We believe there’s a once-in-a-generation opportunity for telco and pay TV providers to diversify their retail offer, by moving beyond quad-play to ‘omni-play’ and beyond super-aggregation of video content, to the aggregation of our increasingly smart lives.
By ‘aggregating more’ operators will be able to increase customer loyalty and raise ARPU, from services as diverse as multiplayer live gaming and home security, to smart domestic energy management.
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.
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.
“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.
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.
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?
qibb is the leading media integration platform to create and maintain low-code media workflows. By consolidating numerous tools and services into a unified environment, it empowers users to build and maintain integrations more cost-effectively, faster and vendor independent – making media workflow automation and integration easier than ever before.
In today’s fast-paced digital landscape, media companies face the dual challenge of delivering content efficiently while addressing environmental concerns. As the media industry evolves, it is crucial to adopt innovative approaches that transform existing media workflows, security, scalability, and carbon efficiency. To further future-proof media infrastructure and experience these benefits, the industry should focus on developing interoperable Software Media Functions (SMF) as software-based solutions, adopt a dynamic media factory layered model, and implement a common control framework to better anticipate the changing media functions landscape. When changing into a world of software-defined applications, a good foundation is essential. It should be agnostic of clouds (private or public) since interoperability needs to be guaranteed in case a business decision requires a migration to a new environment. Some content providers are already taking advantage of machine learning to reduce costs and increase efficiency. Traditionally this is not the domain of the broadcast or media specialists since this was handled by the vendors using embedded OS and Kubernetes in their hardware.
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.
What are the biggest challenges in managing live event schedules with content provided by multiple operators? The answer can be rather straightforward, and it comprises several key aspects, mostly related to the pain points platform owners are facing today when distributing content across digital channels.