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.
Godox KNOWLED App: Simplifying Light Mapping for Virtual Production
Lighting control is crucial in film and television production, directly influencing the quality of each shoot. The Godox KNOWLED app emerges as a game-changer, providing an efficient and intuitive lighting control tool that incorporates the latest technological innovations.
TotalMedia’s AI exploration for broadcasting
The world of broadcasting has seen incredible change, from silent films to the high-definition digital content we enjoy today, accessible across various platforms. Now, the industry appears ready for another exciting evolution, driven by the potential of Artificial Intelligence. TotalMedia is actively involved in this exploration of AI’s possibilities for broadcasting. We focus on using AI to enhance various aspects, aiming to improve efficiency, audience engagement, and creative freedom. We believe our solutions can contribute to shaping how audiences experience media in the future.
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.
Ateme – Reducing streaming’s carbon footprint through innovation
The video streaming industry, which now accounts for 60-80% of global internet traffic, is facing increasing scrutiny due to its significant contribution to carbon emissions. According to a report from The Shift Project, internet activity is responsible for approximately 4% of global greenhouse gas emissions, a figure that is expected to rise as demand for streaming services grows. This surge in video consumption has driven the expansion of data centers, network infrastructure, and consumer devices, all of which add to the industry’s environmental impact. In response, companies like Ateme and other video processing vendors are focusing on innovations such as advanced video codecs, efficient compute platforms, and AI-driven optimizations to reduce data size, energy consumption, and overall carbon footprint in the streaming ecosystem.
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.
Caton – Beyond the Cloud: Intelligent IP Broadcasting
The content delivery landscape is undergoing a seismic shift. Audience demand for high-quality content explodes while traditional IP methods struggle to keep pace. They face limitations in scalability, flexibility, and reliance on the unpredictable nature of the public internet.
The good news is that a revolutionary approach is emerging, driven by the exciting convergence of cutting-edge technologies. This approach leverages distributed cloud architecture and the power of Artificial Intelligence to completely reshape content transmission. In this article, we will delve into this future of intelligent IP broadcasting and explore how it empowers broadcasters not only to overcome these challenges but also to deliver exceptional experiences for their audiences.