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Leveraging the Power of AI for Digital Asset Management

Leveraging the Power of AI for Digital Asset Management. Digital asset management is a process to store, organize, retrieve, and share digital assets.

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Leveraging the Power of AI for Digital Asset Management

Artificial Intelligence (AI) technologies are in the process of integrating into every field of work, including marketing workflows. AI, however, is not a replacement for a human workforce.

Instead, AI capabilities support your work by automating repetitive tasks, thus enabling marketers and developers to do more in less time. In this article, you’ll learn how AI improves digital asset management (DAM) tasks, and how to implement AI in DAM ecosystems properly.

1. What Is Digital Asset Management?

What Is Digital Asset Management

Digital asset management (DAM) is a process you can use to store, organize, retrieve, and share digital assets. DAM uses a centralized content library that is accessible by employees, contractors, clients, and stakeholders. Assets stored in a DAM include images, audio, video, documents, and original files.

2. AI and Digital Asset Management

Artificial intelligence (AI) is the use of machine learning to perform tasks that were previously only capable of manual human effort. You can use AI technologies to automate and facilitate a variety of functions within DAM systems. AI can help organizations and teams retain control over significant amounts of data with less effort.

3. AI Technologies That Power Dynamic DAM Systems

AI Technologies That Power Dynamic DAM Systems

Several AI technologies can be incorporated into DAM systems. The most commonly integrated technologies are covered below.

a) Smart Tagging

A tag is a piece of metadata that you use to classify and identify assets. Cards are used for searching, tracking, and sorting assets within your DAM. Smart tagging is the use of AI to apply these tags. It is based on API services offered by organizations such as Microsoft, Google, and Amazon.

These services use image recognition to determine the content of media and suggest appropriate tags. Image recognition technologies scan images to identify specific characteristics associated with a category or classification. AI then weighs these characteristics to determine the most likely content of the picture.

Some DAM systems enable you to incorporate business intelligence and marketing data to categorize assets with tags better. This can allow you to distribute content across multiple media channels automatically reliably.

b) OCR

Optical Character Recognition (OCR) is an AI technology you can use to identify text inside images. You can use it to extract text from images and convert that text to an editable document. Extracting text from images is not a new capability, but previously it could only be performed on images with defined structure or layout. OCR uses the same image recognition strategies that are used for smart tagging.

Modern AI, however, enables you to extract text more dynamically. This is possible because AI algorithms can learn from feedback supplied from previous text extractions. This feedback is applied to future removals, refining the sensitivity and accuracy of the OCR algorithm.

c) Natural Linguistics Processing (NLP)

NLP is a field of AI that deals with how computers process and analyze linguistic information. It is commonly used in speech to text conversion and chatbots. In a DAM system, you can use NLP to extract speech content from video or audio files. This content can then be used to create transcripts, subtitles, and captions. It can also be used as a guide for speech removal from files.

NLP capabilities incorporated in DAM systems can also enable you to serve content according to requests in a variety of languages. This can be accomplished through translations of search requests.

4. Best Practices for Implementing AI in a DAM

When incorporating AI into your DAM systems, there are several best practices you should follow. Below are the essential methods to start with.

a) Keep AI-Generated Metadata Separate

You should find a way to identify AI metadata separately from user-generated data. This enables you to verify the accuracy of your AI more efficiently and to ensure that tags are appropriate. By keeping metadata separate, you can ensure that your tagging is as reliable as possible and that user-generated tags are not automatically overwritten.

b) Track AI Like Your Users

You shouldn’t provide users unfettered access to your DAM; this is as true for AI. You need to be able to track the actions of your AI services and vendors to ensure the integrity of your data. Tracking can also help you identify when AI is not working correctly or if it is causing conflicts with other integrations or users.

c) Ensure That You Can Filter AI-Generated Metadata

You should be able to filter whether or not AI-generated metadata is used for searches, content serving, or analytics. Some users may not trust AI-generated data or may prefer to use only specific AI sources. Likewise, users may wish to use only AI-generated metadata created after an algorithm has been refined.

d) AI-Generated Metadata Should be Convertible

Many DAMs enable you to convert embedded metadata into a regular asset attribute, such as a keyword. This ability should extend to AI-generated metadata. Convertibility can help you ensure that AI-generated information remains available even if AI services are removed or changed. You may also wish to set protocols that automatically convert metadata once enough users have approved it.

e) Use Feedback to Improve Your AI Accuracy

Any AI services you use should improve over time. This could mean that algorithms are refined with each analysis or suggestion or that algorithms are periodically retrained. Sources of feedback can include manual audits, accumulated user verification of accuracy, or asset use statistics.

Check if you have specific tags that are consistently rejected, or assets that you know are relevant that aren’t’ being returned. Both of these situations can indicate a fault in your AI and can help you target areas for improvement.

5. Conclusion

AI enhances DAM systems with capabilities that save time and enable personalization. By delegating repetitive tasks to the machine, you can free up your time and focus on sophisticated and creative jobs. In many cases, once you set up an organization system, the AI mechanism will take care of the grunt work of classifying the assets. You can then set up a dynamic process that delivers personalized, and sometimes hyper-personalized, content to users.

Gilad David Maayan is a technology writer who has worked with over 150 technology companies, including SAP, Samsung NEXT, NetApp, and Imperva, producing technical and thought leadership content that elucidates technical solutions for developers and IT leadership.

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Artificial Intelligence (AI)

WORM-Compliant Storage: Exploring Write Once Read Many (WORM) Functionality

This is sometimes referred to as write once, read many, or WORM, compatible storage. With a name like that, it’s hardly surprising that many need help understanding it.

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How does WORM storage work

Organizations generate an immense quantity of data, yet sometimes they need or want to preserve it in an unalterable format.

For legal reasons, a non-profit organization may desire to keep its financial information in this format regularly. An institution may desire to save graduation records in this manner in case the actual records are lost in an accident. Businesses may desire unalterable records to avoid tampering, which might cover up fraud.

This is sometimes referred to as write once, read many, or WORM, compatible storage. With a name like that, it’s hardly surprising that many need help understanding it.

We’re here to help you get a grasp on things. Let’s go!

1. What Exactly Is Write Once, Read Many?

The simplest explanation is that it is immutable storage. You may write data to the storage device or medium just once. Following that, no one may legally alter the data in any manner.

CD-R discs are a basic kind of WORM storage. You may add data to the blank disk, but it will remain in that state indefinitely. You may damage or destroy the disk to prevent someone from accessing it, but you cannot modify the data contained in it.

WORM storage allows for repeated reads of the data. Assuming the disk or drive isn’t destroyed, there’s no practical limit to how often you can access the data.

2. How does WORM storage work?

There are two options for implementing WORM storage in your business. The first technique is hardware, which uses tape or a similar form of media that permanently stores data, making physical destruction of the WORM storage device the sole way to delete it.

Nonetheless, with many solutions migrating to cloud and SaaS services, selecting particular hardware might be challenging. However, many of these service providers now provide software-defined WORM solutions, which combine the flexibility of software with the strictness, security, and indelibility of hardware-based WORM.

Whether you utilize software or hardware to achieve your compliance objectives, the idea is the same. When someone writes data to a WORM disk, it remains there eternally. The assumption that you cannot alter the data on a WORM drive only refers to anything that has already been saved there; the ability to add new data is always available as long as there is adequate storage space on the drive.

Do you need WORM-compliant storage

3. Do you need WORM-compliant storage?

Unless your company works in the securities or healthcare industries, which are subject to SEC or HIPAA laws, there is likely no legal need to adopt write-once, read-many (WORM) compliant storage solutions. However, legal requirements are only one motivator for using WORM storage systems.

WORM compliant storage provides a key role in addition to regulatory compliance. For example, if you want to keep a safe archive of historically important documents, WORM storage is a wise solution. This guarantees that once data is written, it cannot be changed or erased, protecting the integrity and validity of critical documents over time.

Furthermore, in situations where internal workers may tamper with corporate documents, WORM storage adds an extra degree of protection. Creating immutable copies of papers makes it easy to check the correctness and validity of records, reducing worries about possible manipulation.

Likewise, WORM storage may serve as a protection for proof of trade secrets or intellectual property, providing a snapshot of data at a given point in time and preserving valuable assets from illegal changes or access. In conclusion, although WORM-compliant storage is not legally required for all enterprises, it provides essential advantages for data integrity, security, and crucial information preservation.

4. What are the primary advantages of WORM storage?

WORM technology protects businesses against many of the usual difficulties associated with data corruption and loss. The primary advantages of deploying WORM storage include:

Compliance With Industry Regulations

Using WORM storage helps firms comply with recordkeeping rules and laws. More than simply archiving data is required. Businesses must store their data in the right, unalterable format to comply with regulatory requirements and avoid significant fines and penalties.

Risk Mitigation for Poorly Archived Data

Companies must have a robust procedure for archiving all data. If information is needed as part of an audit or lawsuit and the required data is lost or damaged, difficulties (and penalties) will arise.

Better Information Security

WORM Storage secures precious and sensitive data and, more critically, prevents it from being doctored or changed. It guards against occurrences such as data being accidentally or purposefully manipulated.

Better Data Governance

WORM storage contributes to the present business-wide practice of rigorous and well-planned data governance. It also enables you to better adhere to the Electronic Discovery Reference paradigm (EDRM), a paradigm that describes the steps of the eDiscovery process throughout an inquiry.

5. Use Cases of WORM Storage

Professional content distribution includes financial records, police investigations, court testimony, computerized voting, and other applications in which data files must be safeguarded against manipulation or deletion, particularly when material is accessed, relocated, or transferred. Organizations transfer all data given over to the data investigation business onto WORM disks, ensuring that nothing changes beyond that point.

Transferring a read-only file across a network using encryption and passwords does not ensure that the file is original or untouched. Furthermore, it is usually preferable to enforce something in hardware rather than software since when the program is not operating, the data may be tampered with.

  • Corporate records
  • Financial and Insurance
  • Intelligence collection
  • Law enforcement
  • Electronic Voting
  • Court Proceedings
  • Medical Records and Devices
  • Public Records
  • Artificial Intelligence
  • Cyber-attack protection
  • IT security and log files

Conclusion

Write once read many compliant storage enables enterprises to safeguard information in a method that no one can tamper with. This may occur with something as basic as a CD-R or with software-based cloud storage.

The size of the data typically influences the medium used. You can keep a few papers on physical media without issue. Petabytes of data need a strong in-house storage ecosystem or a cloud storage provider.

If you decide to use a cloud storage provider, be sure to inquire about the retention term choices and redundancies.

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