Perifery’s Intelligent Content Engine (ICE) is a software platform that leverages AI agents and advanced AI models to manage, organize, and curate media content such as images, videos, audio files, documents, and other multimedia assets. Acting as an AI Media Content Librarian, ICE examines, understands, and catalogs every file within its view. It automatically categorizes, organizes, and understands media assets based on the content itself regardless of the existence of any traditional metadata.
Agama Technologies – Unify, simplify, and understand your data: how consolidation can streamline and empower your video services
In today’s dynamic video market, service providers have adapted and evolved their services in sync with the technology evolution in customer devices, mobility, and preferred ways to interact with entertainment content.
As a result of innovation and growth, some complexity and fragmentation have unavoidably occurred. For instance, IPTV over ABR services is run together with companion services on user-owned devices like connected TVs, phones and laptops – alongside value-added services, such as catch-up and start-over, live together with PVR, third-party AVOD, as well as targeted advertising.
Accedo – Can AI support the transition towards a more sustainable video ecosystem?
The OTT industry has undergone some major changes over the past few years. Market growth slowed somewhat compared to previous years and video providers have broadened their monetization strategies and shifted focus from subscriber growth to profitability. Despite this, the OTT video industry remains buoyant; according to analysis by Statista, the industry is projected to show an annual growth rate of 6.30% between 2024 and 2029, to reach US$429.40bn by 2029. This change of focus towards profitability is driving service providers to provide a better experience for viewers and optimize their services. However, there is a need to balance this drive for profitability with the industry-wide need to transition towards a sustainable video ecosystem.
Viaccess-Orca – Mastering TV monetization with AI-driven solutions
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.
Veritone – So, Your Content Is Finished…Now What?
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.
Simplestream – Needle in a haystack: the challenge of normalizing metadata
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.
G&L – Elasticsearch features for incident detection: are they worth considering?
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.
EditShare – Will AI really transform the media industry?
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.
Blu Digital – Fere nihil sine deo – thoughts on AI, localization and humanity
“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.
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?