NAB Show New York

Meet Us at NAB NY – Booth 442
October 24-26

Enabling AI on Media workflows.

In recent years, there has been a significant increase in the use of artificial intelligence (AI) and machine learning (ML) in media workflows. Video providers are trying to answer the questions of which actors are in a scene. What was said when? And what objects are in a clip? As a result, media organizations are increasingly leveraging cloud-based tools to accelerate their workflows and improve productivity. The benefits of cloud-based AI tools in media workflows can revolutionize the media pipeline; however, incorporating AI tools comes with several challenges.

One of the primary challenges that media organizations face is getting the media to the AI/ML tools. Acceleration of data movement to and from the cloud is critical —this is particularly important when dealing with large media files, such as videos and high-resolution images. The time and cost involved in moving these files to and from the cloud can be a significant barrier to adopting cloud-based workflows.

Another challenge is understanding the cost of moving assets to and from the cloud. With cloud storage, understanding the pay-as-you-go model and the cost to retrieve your data is vital to supporting the financial side of the business. Therefore, it’s critical to have a tool that provides accurate cost information to make more accurate, intelligent, and impactful business decisions.

With all of this, there is the stark reality of cloud-based workflows. The cloud has come a long way from being a simple storage and archiving solution. Instead, it has become a place where media organizations can work on assets in real-time, thanks to the power of cloud-based AI tools. With these tools, AI can make cloud-based archives searchable.

Moreover, production companies can use tools such as searchable video archives, automated captioning, clip generation, and personalization to monetize content rapidly.

One of the most significant advantages of using cloud-based AI tools in media workflows is the ability to automate tasks that users previously did manually. For example, AI-powered video editing tools can automatically identify and create or remove content from video files, saving time and improving efficiency. Better yet, AI can even be used for the entire clip generation.

Other areas where cloud-based AI tools can benefit significantly are image recognition and speech-to-text. These tools can automatically identify objects and people in images and transcribe spoken words in videos, making searching and retrieving media assets easier.

Automated captioning is another area where cloud-based AI tools can be highly effective. In many countries, closed captions are a legal requirement for broadcast media and essential for accessibility purposes. Cloud-based closed captioning solutions can provide accurate and timely captions, making it easier to comply with legal requirements and improve accessibility.

But automating all of this can come with a cost—a very significant cost if not managed appropriately. So one of the primary challenges is the need for accurate cost information to make more informed business decisions.

Media experts need a cloud-based tool that provides accurate cost information for media workflows—one that allows media organizations to quickly and easily estimate the cost of ingesting media assets into the cloud and extracting assets from the cloud.

Post-production environments also require tools that provide detailed cost breakdowns by project, allowing all key stakeholders to see where their money is being spent and identify areas where they can save costs—enabling everyone to make more informed decisions about their workflows and improve their bottom line.

Another advantage of these tools is their ability to provide real-time cost estimates, which means that media organizations can make decisions about their workflows on the fly without waiting for cost estimates to be generated manually.

So, the question becomes, does such a tool exist? Yes, it does.

CloudSoda’s estimation is based on a variety of factors, including storage and data movement costs—enabling media organizations to get a more accurate and complete picture of the costs associated with their workflows. CloudSoda is also highly flexible and scalable, making it an ideal solution for media organizations of all sizes.

CloudSoda can also help you create a digital repository or archive to be monetized by AI tools by storing content in its native format in cloud buckets and automating data movement to get the media where it needs to be.

How about this? Try a free trial today to get a better view of just how much CloudSoda can save you. Then let AI do the rest 😉