In an era of unprecedented technological advancement, the media and broadcast industry plays a significant role in shaping how we perceive the world. However, this sector, like many others, faces a pressing challenge: the threat to our planet’s delicate ecological balance. As concerns about environmental sustainability escalate, our industry needs to take bold steps to minimize its own impact on the environment and pave the way for a greener future.
Agile Content – How encouraging user engagement can help OTT companies decrease their ecological footprint
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.
Accedo – AI’s role in the OTT industry’s pursuit for sustainability
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?
Oxagile – Agile engineering in OTT: How media and entertainment quickly adapts to changes
Have you thought about how tremendously the media and entertainment industry has changed in the past 20 years? Over-the-top (OTT) platforms and services first appeared in the early 2000s and challenged existing market players to move their business emphasis to online streaming. Netflix was the first game-changer that took the decision to transform traditional cable and satellite TV broadcasting models by offering consumers films and TV series on demand. This shift forced the global expansion of OTT services and the adaptation of traditional TV networks by launching their own OTT platforms. But that’s just a start for ongoing shifts in the industry.
Varnish Software – NAB Show 2023 BaM Award winner – Publish
Varnish Software, a leader in web caching, video streaming and content delivery software solutions, recently set a new industry record for content delivery performance, achieving greater than 1.3 Tbps throughput on a single Edge server consuming approximately 1,120 watts, resulting in 1.17 Gbps per Watt.
Simplestream – Live events orchestration: why a flexible CMS solution is integral to business success
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.
Mediaproxy – Broadcasting forever
The content chain for production and distribution in the modern television-streaming world is more streamlined and technology-based than ever before. But, argues Erik Otto, chief executive of Mediaproxy, this overlooks the area of deep archiving, which, as broadcasters look to keep everything they transmit, is now more crucial than ever.
LTN – Creating a roadmap to success in the new digital media era
The media industry is experiencing a paradigm shift. In the digital-first era, competitive advantage is driven by digital strategies. Media companies increasingly leverage IP technology to define new business models and tap into more audiences across over-the-top (OTT), digital, and free ad-supported streaming TV (FAST) platforms.
In a competitive and fragmented media landscape, media and tech players are aggressively targeting the streaming market to get a piece of the pie. High-value content still differentiates the winners from losers, but that’s not enough. Media organizations need to ensure that their business is future-proofed and that they can make the most value out of their high-profile content to boost their bottom line today and in the future.
Agama: From data to sustainable actions: How video service providers can drive sustainability with video analytics tools
Sustainability has become a top priority for companies across all industries as the world becomes more aware of the disastrous effects of climate change. Video service providers are no exception; however, they need to identify ways to improve energy efficiency, reduce waste, ensure regulatory compliance, and unlock new business opportunities. In recent years, there has been a growing concern about the environmental impact of video services. Companies are now seeking sustainable ways to deliver their services while reducing their carbon footprint, and this is where sustainability analytics comes in. By collecting and analysing data, video services providers can gain insights into their environmental impact and develop strategies to mitigate it.
Live events orchestration: why a flexible CMS solution is integral to business success – Simplestream
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.