Over time, film studios and studios around the world have captured vast amounts of footage. But deep within these resources lie underutilized treasures. There is great value in these treasures or can be analyzed as part of a big data application to give us precise predictions, correlation analysis, or bring us the desired results. In order to get the final result, we should store this content in a reliable and economical way to ensure that it is safe. This opens the way to monetization through data analytics, artificial intelligence (AI), and machine learning (ML). The construction of media library and analysis platform can be completed either locally in the enterprise, in the cloud, or by a combination of the two.
Choosing a provider to buy his services and storing content in the public cloud is a surefire way for many studios. Currently the main options are Amazon®, Microsoft® and Google®. Since each vendor's features and capabilities are different and unique, why don't we use a multi-cloud approach? As technology changes, studios have the freedom to choose better tools without having to settle for any one supplier.
Amazon's public cloud has a very mature service, a great partner ecosystem, and it also provides additional functionality that users can use as part of a subscription service. Microsoft also has great partners and approaches that users can use specifically for media and entertainment, such as Avere Systems' enterprise cloud NAS to connect cloud storage and computing into cloud-based enterprise architectures, or AvidTechnologies' audio and video digital Non-linear cloud editing capabilities. Google's public cloud has a suite of tools designed for media entertainment, including analytics, translation, and transcoding.
With the development of cloud technology, it is impossible for studios to choose only one public cloud. The best way for the film industry to monetize content is to remain neutral on public cloud storage.
mixed analytical methods
Advances in technology present interesting opportunities for the measurement and analysis of media and entertainment content. Producers can now incorporate instant feedback and metadata into the content creation process, allowing them to adjust output based on consumer needs, preferences and/or trends.
The public cloud is also favored by studios because of its huge storage capacity, ease of access, and relatively low financial investment. Users can run a job by increasing the computing core or storage capacity, and can exit these resources after the job is completed. There are also many special tool suites in the public cloud that studios can leverage as part of service agreements.
At the same time, storing content locally brings many valuable media and entertainment resources closer to petabyte scale, and petabyte scale clouds are more accessible, feasible and more economical than public clouds. Object storage systems are widely used today as central media repositories and/or online archives to better manage and control the predictable performance of data analytics. Unlike public clouds, on-premises storage solutions allow users to move and store content—including files and objects—without paying anything.
Likewise, studios are now starting to use hybrid storage methods. In this way, they can easily scale and analyze the results of audience behavior, resulting in better generated content and a more thorough understanding of how the content moves during the production process. They also have vast amounts of historical data to be able to analyze and develop predictive models, or through machine learning, to make their cameras, video production equipment and even wearables work more efficiently.
Local analysis within an enterprise has two benefits: (1) storage media can be used for multiple analysis jobs in the same company; (2) production job resources can be used with similar, separate or combined production models for analysis workflows and Use cases are combined for more profound effects.
Why choose object storage?
A more economical way to compensate for the high cost of constantly severing content from the public cloud is to store most of the content in a highly scalable object storage system. The schema can store content such as files or objects (whether files or not), movies, video, audio, images, photos, or other parts of unstructured data. Each stored object includes metadata, which provides descriptive information about the object and its own data. With user-defined metadata, data analysis, discovery techniques, or other information can support a large number of movies or videos being scaled, while objects can be grouped together for efficient content augmentation. Metadata analysis can also be used to analyze consumer preferences.
Object storage is the way forward for the film industry, as these systems can replicate data across three locations (similar to the file-based triple mirror model), while requiring only one-third of the encoded objects per location. They can also use erasure coding and data erasure technology to detect errors behind the scenes and fix them on their own, achieving a data durability of 19 nines.
Epilogue
Studios and studios around the world use the public cloud to protect, optimize, distribute and analyze the content they acquire, as well as solve specific problems through the public cloud. Developing a hybrid cloud approach through public cloud and on-premises petabyte-scale object storage solutions can help drive monetization of content, giving post-production teams access to newer, better, and more advanced tools and technologies. This ability to extract more value and intelligence from acquired content through analytics, artificial intelligence and machine learning also creates wealth for tomorrow - keeping the value of content forever!
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