Category: Artificial Intelligence

Including accurate subtitles for your live content is crucial for an improved viewer experience and to meet accessibility requirements. While most transcriptions for live broadcast are still generated by human stenographers, these processes scale poorly and can be expensive. HAQM Transcribe, which automatically converts speech to text, is an automatic speech recognition (ASR) service that […]

Media & Entertainment (M&E) customers seeking to modernize their Media Asset Management (MAM) on HAQM Web Services (AWS) have questions to consider before getting started: Should they build their own solution or invest in a 3rd party system? How can they best leverage AWS services to get the most from a MAM in the cloud? […]

Introduction As the media and entertainment (M&E) industry evolves, companies within the space are finding more opportunities to use artificial intelligence (AI) and machine learning (ML) to deliver a better customer experience. Customer acquisition, retention, and engagement are key areas where AI/ML technologies are poised to deliver significant value. With increasingly complex content consumption patterns, […]

We are happy to announce the official release of Media2Cloud 3.0. This release helps AWS customers simplify and expedite their media migration workflow into AWS. It provides a framework to implement artificial intelligence and machine learning (AI/ML) to create frame-level descriptive metadata about content. This new version of Media2Cloud still includes the features that customers have […]

The use of artificial intelligence (AI) helps speed up many operations that were unthinkable until some time ago. In many cases, it is necessary to understand the content of your image archive or the dialogue in an audio or video file to intercept content deemed harmful, dangerous, or out of place for a given situation […]

With more than 50 launches and announcements of new services and major features during AWS re:Invent 2021, the following is a tailored list of those most relevant for media and entertainment (M&E) workloads. Watch the full Adam Selipsky Keynote here for even more announcements and information. AWS Private 5G for on-set connectivity AWS Private 5G is […]

Discovery, Inc., a multinational mass media company, has a colossal library available to stream. So much so, that customers encountered “decision fatigue”. The company found that too many choices can become overwhelming, and can take away from the viewer experience. Discovery, Inc. responded to this challenge by building discovery+, a streaming service using HAQM Personalize. […]

UPDATE: A new open source solution called Media Replay Engine (MRE) was released to the public that provides a scalable plugin-based framework designed to process live video sources and generate clips and highlights that support several linear and digital channel use cases. You can find it here: http://github.com/awslabs/aws-media-replay-engine. Broadcasters are increasingly looking to the cloud […]

Last year, we launched HAQM Rekognition video segment detection, an API that makes it easy for media customers to automatically detect frame accurate end credits, black frame segments, shot changes, and color bars in video files using machine learning (ML). Today, we are announcing support for four new types of segments (opening credits, content segments, […]

Media and entertainment (M&E) companies use machine learning (ML) to create personalized content recommendations and improve content engagement. From video and music streaming to internet advertising and sports, HAQM SageMaker helps customers make smarter content investments, better monetize content libraries, and delight users with personalized experiences. Join speaker Amir Imani, AI/ML Specialist Solutions Architect, to […]