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.
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.
Net Insight – Automation is shaping the future of media
The media industry is moving at super high speed. New business models, offerings, and business deals are changing the industry dynamics, leading players to rethink their strategies to remain competitive and grow. At the same time, consumer appetite for compelling and enriched content, including shoulder programming doesn’t seem to be subsiding.
Media companies are faced with a real opportunity and challenge — they need to be ready to manage a significant spike in live streams from acquisition right through to content delivery across platforms to tap into more audiences and revenue. This means more complex workflows and core media networks to acquire and deliver content to a plethora of destinations.
LTN – Driving business success with automated versioning technology
Media companies are actively exploring ways to maximize their content delivery and operations. Technological advancements, particularly through the smart use of metadata and IP distribution, are revolutionizing resource-intensive processes. These innovations aim to reduce the overhead required to create great channels and tailored live events while enhancing the precision and speed of content delivery.