Into the future: Top 6 content digitization trends

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Into the future: Top 6 content digitization trends

As the world goes mobile, content managers are struggling to provide meaningful content anytime anywhere at a competitive price that the users are willing to pay. This makes digitized content more valuable than the content that is not yet in digital form.

Digitization has become a necessity for content-driven organizations. To keep up with the demand, asset managers are leaving no stone unturned to make the cumbersome process of digitization simple, efficient, and accurate.

While technologies are evolving every day to make content digitization simple, we have listed the top trends that you can look forward to in future.

Cloud storage

Cloud adoption is gaining popularity in recent years. As the cloud becomes more secure, the next few years will see increased storage of video assets on the cloud. With features like version control, file sharing, and management of rights and private hosting options, cloud storage is better than traditional storage of files in hard drives and shared drives. Moreover, cloud storage will also reduce dependency on IT teams for access and security, and enable content owners to access media assets online across any device.

Artificial intelligence

Tagging is an essential aspect of managing video assets. We’ll soon see artificial intelligence tools scanning content to create metadata tags based on these broad categories:

  • Batch comparison using contextual hints
  • Pattern recognition
  • Machine learning

While the system will only be more accurate in the coming year, AI will allow content managers/ users to understand their assets better, predict the user’s needs, and provide recommendations accordingly.

Machine learning

Many organizations have already started maintaining records digitally. However, to digitize legacy documents, organizations first scan and then uses an optical character recognition (OCR) software to transform the scanned image to text. Machine learning algorithms in the OCR software automatically analyzes the image based on the lines and curves to determine whether it is an alphabet or a sign. The software is designed such that it trains itself to deliver more accurate OCR results based on the trend and usage pattern.

Robotic Process Automation (RPA)

AI robots can scan and store digital copies of files on the cloud, saving space and making the assets more accessible. By automating businesses end-to-end, RPA and machine learning can significantly increase productivity, eliminate human effort and errors, and help companies scan and analyze legacy documents faster.

Metadata management

Many organizations are working to embed metadata to their digital assets. However, performing this task manually is daunting. With AI, content managers now have tools and software to analyze associations between various assets and automatically suggest options for metadata. Over the coming years, AI will improve metadata management, making metadata more precise, and searching and cataloging asset libraries more structured.


Once digitized, preventing video piracy is a crucial concern for enterprises. Blockchain will play a key role in protecting the ownership of these assets and prevent them from being misused. Blockchain will deal with high-security data, allowing videos to be distributed, but not copied. Content managers will use blockchain to identify the integrity of people before giving them access to the assets and track and record asset usage automatically.

As assets go digital, maintaining and managing them will become easier in the coming years, giving content owners and managers more time to focus on their core business.