In this fascinating two paper session we look at streaming from both ends; at one end AWS shares its engineering insights and experiences in facilitating streaming at “mega-concurrency scale” where in India, cricket drives huge traffic surges (10 million connections in 10minutes) and where a record 59 million concurrent connections is held.
VimBiz is the best solution to plan, budget, and schedule resources for all your productions. VimBiz offers a unique time-tracking solution with a fully configurable engine that will automatically calculate the code your payroll system needs at 97%+ accuracy, all while respecting your employee contracts and complex working regulations.
IMAX and LTN share first-hand how they have delivered some of the biggest live events of the sporting summer – including Paris 2024 and the NBA Finals – to global fans with the premium visual quality expected in an IMAX theatre.
Join Microsoft and Partners as they showcase how AI transforms marketing with an innovative project that allows audiences to interact with Digital characters in real-time. This demo will highlight the AI-driven process behind creating interactive, engaging promotional content, featuring live interaction with digital avatars and insights into the underlying technology.
Evergent and Google Cloud Platform will jointly show how next-gen AI, in conjunction with traditional AI/ML, offers substantial benefits to consumers by revolutionizing subscription-based business models using unprecedented personalization and operational efficiency. We’ll discuss sophisticated techniques these advanced tools apply to analyze vast datasets and forecast customer behaviors and preferences accurately. Evergent’s focus on AI use cases and Google’s Vertex AI platform enable businesses to precisely tailor offerings for personalized recommendations and flexible pricing structures which enhance user engagement and satisfaction. Specific use case insights will include Gen AI-powered Chat Engine, Churn, Offer Management, Package Prediction and Payment Prediction.
SpherexAI is the leading platform for ensuring video content complies with local regulatory standards and cultural expectations worldwide. Our patented technology uses AI and machine learning to analyze and classify content with unmatched precision, providing actionable insights for content adaptation and compliance edits.
In a highly competitive market, video providers need to deliver excellent user experience to customers who increasingly expect a personalised services. However, when service providers extend the personalised experience beyond their own platforms, real-time personalisation can become expensive, and there’s a risk of damaging the brand. In this panel, experts will share their insights into how AI has the potential to revolutionise personalisation.
Following the build and development of an all IP, Edge-first, multi-cloud, multi software test bed environment in the CAPA Accelerator 2023, the project team is now positioned to implement and road test the solution on some real-world live event production scenarios.
Ceeblue’s new multiprotocol framework is an innovative technology that is transport protocol-, container- and codec-agnostic. It addresses the challenges of real-time streaming by balancing reliability and low latency during network congestion, using partial reliability to maintain synchronization.
This informative session from Eluvio will showcase use of the Content Fabric as a next-generation content distribution and storage protocol transforming the delivery and monetisation of premium video and digital media. It will discuss how the Content Fabric provides fast, efficient, tamper-proof streaming and download, AI discovery, and monetisation of any digital media content at scale. Eluvio will specifically highlight its AI native media capabilities, such as generative AI tagging of video and images in-Fabric, in addition to various tagging models, and fast semantic Fabric Search. Tags are recorded in the metadata of Content Objects (in place), and automatically searchable and actionable. Unlike other AI content tagging workflows, no content or metadata must move since the AI metadata is directly and dynamically addressable, across recorded live streams or deep video archives.
