Digital transformation in the Media and Entertainment (M&E) market involves many applications that need to exchange content and metadata (data) in a fluid and efficient manner. For media companies operating in today’s digital world, producing, managing and distributing content requires an efficient and agile media supply chain, where metadata impacts all of these processes.
MediaKind – Ensuring optimal content delivery: key approaches and strategies
In today’s digital landscape, the demand for high-quality video content is ever-growing, driving the need for robust platforms that can support the development of modern video applications and streaming media services. One of the key challenges for enterprises, broadcasters, and content creators lies in effectively managing and delivering video content across various channels and devices. The first hurdle consumers encounter when wanting to view content is being able to access it. We’ve all heard or seen about big events where people haven’t been able to sign in at the time the event begins or where the video streaming quality has suffered.
Witbe – Greening the streaming: how real device testing can drive sustainability in the media industry
As millions of users consume streaming video content across various platforms daily, video app providers and mobile network operators face immense pressure to manage data usage and bandwidth efficiently. This challenge presents an opportunity to make the industry more sustainable. Leveraging data analytics captured through real device testing, streaming video service providers can not only optimize data transmission but also reduce energy consumption and promote sustainable user behavior. Vodafone, Telefonica, and Meta have already communicated interesting results in this field.
HPE – Is sustainability compatible with AI in the media and entertainment industry?
When none other than Tyler Perry halts an $800 million studio expansion after seeing a text-to-video AI demo, you know something major is happening in media and entertainment. AI isn’t new to the industry—Netflix has used machine learning (ML) to serve up recommendations since the early 2000s—but generative artificial intelligence (GenAI) is changing more than distribution and marketing. GenAI is primed to change how film, television, and music are imagined and produced.
NStarX – Can GenAI help with better visibility on the outcome of film making?
Financing Movie Making requires convergence of investors, bankers and several financial institutions coming together. The entire movie making process is complex across the lifecycle of pre-production, production, post-production, distribution etc.
As a producer of a movie, the intent is to ensure the success of the content (movie) and make financial profit. The entire moving making process results in a lot of data generation (from scripts, marketing assets, actors, posters, trailers, props, exchange of information, ideas and so many other aspects across the lifecycle).
Can AI or GenAI help with finding patterns through the latitude of data across the movie making lifecycle? Can it help with prediction of success of movies that allows producers, directors, financiers to take informed and wise decisions for moving making? NStarX Data Scientists have been looking at this problem for a while now!
Unveiling the future: dive deep into AI at IBC2024
The media and entertainment landscape is undergoing a seismic shift. Artificial intelligence (AI) is shaping every aspect of content creation, production, and delivery, streamlining workflows, adding efficiencies and delivering better experiences for viewers. At IBC2024, the all-new AI Tech Zone in Hall 14, powered by the EBU, promises to be the place to cut through the hype and discover the impact AI can have now and in the future.
Perifery – Intelligent Content Engine
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.
Akta – Revolutionizing video monetization: the power of automation in ad insertion
In the dynamic landscape of online streaming, the battle for eyeballs and advertising revenue is fiercer than ever. As viewers continue to shift towards digital platforms, content providers face the challenge of not just delivering engaging content but also monetizing it effectively. In this realm, automation is emerging as a game-changer, particularly in the realm of ad insertion.
Net Insight – Putting media network security at the top of the IP agenda
IP is driving a new era of innovation and efficiency within the media industry, opening up more opportunities for growth and transformation. However, despite the potential of IP’s flexibility to adapt to configuration changes and scalability, there are also inherent challenges that media companies must navigate. As the industry transitions from traditional co-axial video interfaces to open IP-based workflows, network control and network robustness are critical priorities. Media companies need to ensure that their networks and high-value content are protected against both external and internal misconfiguration and stream routing issues.
Blue Lucy – It’s time to hit refresh on the product roadmap
We’re always being asked about our roadmap for BLAM, when really what most people want to know is what features or integrations we’ve got planned. And if you think that’s the same thing, think again.