Microsoft M&E Team Holds Multiple Webinars on Azure’s Powerful Content Creation

As content creators are moving workflows to the cloud from editorial to promos to visual effects enabling remote or work from home capabilities, Azure is the platform that enables this.  The Microsoft Media & Entertainment team has created a set of technical webinars to show how to empower creative teams to accelerate content production with industry-leading tools for editing, rendering, VFX, storage, and management. Learn how to scale content creation on an intelligent and secure platform to increase the breadth and value of production workflows.

The available webinars include:

  • Implementing post-production workflows in Azure
    • Content creators and media organizations are looking to utilize cloud computing for media post-production workflows. In this video, learn how Microsoft and Avid are delivering enterprise solutions to deploy a virtual desktop environment with Avid Media Composer and Avid Nexis in Azure.
  • Implementing a production studio in the Azure cloud
    • Content creators and media organizations are looking to build virtual production studios in in the cloud for various workflows. In this video, learn how Microsoft and Support Partners are delivering solutions to deploy virtual desktop environments, content storage, Microsoft Teams and Power Platform.
  • Implementing burst rendering and visual effects in Azure
    • Learn how Azure High-Performance Computing (HPC) Cache can speed up data access for time-critical rendering projects. Data for these workflows are typically located in an on-premises network attached storage environment (NAS). Azure HPC Cache can cache that file data in the cloud to reduce latency and enhance flexibility for on-demand burst rendering.
  • Empowering media workflows with AI and Azure Cognitive Services
    • The explosion of new video content and vast media archives are driving the need for metadata of content.  Microsoft and their Cognitive Solutions including Video Indexer provides automated machine learning insights to provide metadata. It can be used for deep search of libraries, content personalization and transcription/translation to enable accessibility. In this video, learn how AI can be used for media workflows.

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