This article describes the services that the Microsoft Azure platform provides for content creators.
Table of contents
- What are the five challenges faced by content creators?
- 1. Issues related to content upload and ingest
- 2. Issues related to content production
- 3.Challenges regarding content management
- 4.Challenges regarding content distribution
- 5.Challenges regarding content monetization
- Microsoft Azure fully supports media value chain
- Services that support upload/live ingest
- Services that support editing/post-processing
- Services that support rendering/FX
- Services that support storage index creation and search
- Services that support the digital supply chain
- Services that support analysis and engagement
- Services that support live and on-demand streaming
- summary
What are the five challenges faced by content creators?
In recent years, content workflows in the media industry have been moving to the cloud. Along with this, content creators are also facing the following five challenges.
1. Issues related to content upload and ingest
Video content requires huge amounts of data, so large-capacity resources are required. It consumes a lot of CPU and memory capacity, so if you don’t use a high-quality source, it can take a long time to process and cause delays.
2. Issues related to content production
There are capital investment costs to handle high peak loads and increased security risks due to the dispersion of numerous editing systems and storage. A certain amount of capital expenditure is essential to protect against intellectual property theft and piracy.
3.Challenges regarding content management
There are three main challenges in content management. The first is that recovery measures in the event of a failure are not sufficient. Second, as the number of archives continues to grow, library management is also becoming more complex. Third, we manually manage the vast content supply chain .
4.Challenges regarding content distribution
Regarding content distribution, there are three main issues. First, developing a streaming service with the goal of multi-screen distribution or global expansion requires a significant amount of cost and time. Second, QoE (quality experienced by users) deteriorates as the number of concurrent executions increases. Another problem is the increase in waiting time during sports broadcasts and game scenario playing.
5.Challenges regarding content monetization
The problem with content monetization is that the data and AI environment required to accurately estimate and set targets and maintain retention rates are incomplete. The other is improving and maintaining the quality of personalization of content and advertising.
Microsoft Azure fully supports media value chain
Microsoft’s “Microsoft Azure” is a solution tool for these problems. Azure has a variety of features that support content creation through cloud computing .
Services that support upload/live ingest
Microsoft Azure Network
A network tool that protects and distributes applications and also monitors networks. It can be used alone or in combination.
Microsoft Azure Express Route
A feature that creates a private connection between Azure data centers and on-premises or colocation service data infrastructure. Since it does not go through the Internet, you can enjoy a fast and reliable connection environment.
Microsoft Azure Data Box
You can safely and smartly move large amounts of data to Azure data centers. All information is encrypted with AES while being easily transmitted using common copy tools.
Services that support editing/post-processing
Microsoft Azure storage
This is a service to secure the storage necessary for cloud computing. From secure and scalable unstructured data to infrequently accessed data.
Microsoft Azure Computing
A service that provides the infrastructure necessary to run applications. Can scale according to cloud computing capacity.
Microsoft Azure GPU-enabled VM
A virtual machine designed for use with single, fractional, or multiple GPUs. It is designed for high-workload tasks such as graphics.
Services that support rendering/FX
Microsoft Azure Virtual Machine Scale Sets
You can group VMs for load balancing. You can automatically increase or decrease the number of VMs and manage multiple VMs centrally.
Microsoft Azure Computing
Microsoft Azure GPU-enabled VM
These two services mentioned above also support scheduling and compute management for large numbers of VMs.
Microsoft Azure High Performance Storage (Avere)
Distribute capacity while keeping data in network-attached storage to avoid overwhelming on-premises resources.
Microsoft Azure Cycle Computing
A service that allows you to centrally control the optimization and management of HPC (high-performance computing) workloads. Simplify your HPC cluster or scale it to any size.
Services that support storage index creation and search
Microsoft Azure Archive Storage
This is a service that allows you to store data that is accessed infrequently at a low price. Security is also guaranteed by AES encryption.
Microsoft Azure Cognitive Services
It is a tool that allows you to create applications that incorporate AI without any specialized knowledge. A sector-specific AI capability portfolio is also available.
Microsoft Azure Video Indexer
It automatically extracts metadata from video files, audio content, etc. Advanced metadata is essential for efficient monetization.
Microsoft Azure (Cognitive) Search
It provides a unified search function for different content types such as web and smartphones. Tools for indexing and querying are also provided.
Services that support the digital supply chain
Microsoft Azure Media Services (Transcoding)
A platform for indexing and streaming high-resolution videos. Our AI features make content more discoverable while also improving performance.
Microsoft Azure Logic Apps (Workflow)
You can create a logic app that automatically checks a website’s RSS feed. You can also add triggers and actions.
Microsoft Azure Computing
Microsoft Azure storage
These two services mentioned above also provide the infrastructure needed to run apps and support smooth workload processing.
Services that support analysis and engagement
Microsoft Azure Advanced Analytics and ML
Build and deploy machine learning models quickly to provide content creators with a variety of productivity experiences.
Microsoft Azure Telemetry
Big data analysis solution. It also visualizes real-time data and predictive analytics.
Microsoft Azure Recommended products
Provides a real-time API when you want to provide content recommendations. Quickly extract personalized recommendations and expand business opportunities.
Microsoft Azure Personalization
Sort out important data about your customers and deliver personalized marketing.
Microsoft Azure Mobile Engagement
Visualize mobile app usage status and behavior history to support more effective notifications and campaigns.
Services that support live and on-demand streaming
Microsoft Azure Media Services
This tool mentioned above provides content distribution services for various media formats.
Microsoft Azure CDN
A service that improves the speed of content distribution and updates. You can also track customer engagement and get insights.
summary
Microsoft’s Microsoft Azure enables more targeted digital marketing and content development. By optimizing operations and safely utilizing large amounts of data, it strongly supports both creativity and profitability.