Some content services are already leveraging AI to “read” the text on a page to index and store it. The apps can “learn” to recognize the necessary text to capture metadata needed to logically store a document. The key here is you still have to train it. The next step should developing content types whose assigned characteristics make the content type readily identifiable and automate the capture of the necessary metadata without user intervention.

By Geoffrey Bock – Rather than simple text and images, modern content management encompasses different types of information — like photos, interactive graphics, videos, audio and other digitized assets — that systems can assemble dynamically.

Modern content management serves a business purpose and streamlines how organizations create and distribute digital experiences. And, in the future of content management, AI plays a key role. Organizations must control the content that travels through their networks to improve digital work and create business value, which may mean embracing more advanced technologies.

The state of content management

Initially, content management sought to separate technical tasks — like website launches — from editorial tasks, like information updates. Web administrators and IT support staff also needed easy ways to hand off routine chores, like webpage maintenance, to nontechnical users, which content management made easier.

Over the years, aspects of content management have evolved, including types of content and required skills, relevant tools and storage.

Types of content and required skills

Content management continues to support two audiences: technical professionals and line-of-business users. Yet, content has evolved from information on static webpages into dynamic experiences across multiple devices, business channels and customer touchpoints. Read On: