Category: Amazon OpenSearch Service

Modern broadcast and streaming operations face unprecedented challenges in maintaining professional-grade audio quality while scaling to meet growing content demands. Traditional hardware-based monitoring solutions struggle to be flexible and cost-effective, as well as meet geographic distribution required for today’s cloud-first media workflows. Audio quality control (QC)—from loudness compliance to real-time stream analysis—has become increasingly complex […]

This post is co-authored by Lewis James, Senior Data Scientist at Reach plc and Dan Taffler, Group Director of Data and Analytics at Reach plc. News occurs at breakneck speeds. Publishers need to constantly evaluate and innovate business processes to accelerate the process of publishing—from initiation to publication. Changing this became one publisher’s mission—creating their […]

Many companies struggle to manage their vast collections of digital media files stored across multiple Amazon Simple Storage Service (Amazon S3) buckets. This scattered storage approach can create significant challenges for organizations. Searching for specific content can be difficult and time-consuming (with organizing files effectively becoming a complex task) making extracting the full value from […]

The Media and Entertainment industry is undergoing unprecedented transformation, with the volume and complexity of content continuing to grow at a rapid pace. To stay competitive, broadcasters and publishers must find innovative solutions to optimize their media workflows from ingest to delivery. Recognizing this challenge, Nomalab, a leading cloud-based media management platform available on the […]

This blog was co-written by Ing. Philipp Neuhofer MSc., Senior Domain Architect at Sportradar. Operating within the fast-growing over-the-top (OTT) services industry, Sportradar Group AG, a leading global sports technology company, has to keep pace with the industry’s high demands. Since Sportradar’s OTT service launched in 2016, there has seen rapid growth in demand for […]

Imagine asking your TV, “When’s the next Formula One race?” and instantly getting accurate results. This is the future of live sports search, powered by generative AI. In an era where viewers expect quick and relevant information, traditional search methods often miss the mark, but a revolutionary solution is taking shape. Generative AI is transforming […]

In the realm of digital streaming, efficient video encoding is critical in achieving optimal performance and cost-effective transmission to end-user devices. However, video encoding introduces the potential for quality loss, leading to a subpar end-user experience. This concern is further exacerbated in the realm of live streaming, where latency is a critical factor, and only […]

This blog demonstrates how to use Large Language Models (LLMs), Amazon Bedrock, and Amazon OpenSearch Service to create a movie recommendations chatbot. The demonstration uses the IMDb and Box Office Mojo Movies/TV/OTT licensable data package, which provides a wide range of entertainment metadata. Many Amazon Web Services (AWS) media and entertainment (M&E) customers license IMDb […]

Television studios, movie distributors, and other entertainment companies face significant challenges with data sprawl. There might be multiple storage systems located all over the world that contain elements needed for editorials in order to meet distribution requirements, such as subtitles, language dubs, and curated video for network standards and practices. Individual companies format files differently, […]

This post has been co-authored by Rohit Agnihotri, Chief Architect of Infosys Tennis Platform, and Satheesh Kumar, Principal Solutions Architect at AWS Infosys is a global leader in next-generation digital services and has developed innovative solutions to engage stakeholders in the sports ecosystem. Infosys is the official digital innovation partner for major tennis events like the […]