Most Important Content Management Trends for 2023

Derek James, Media Entertainment Businessreview

Business leaders have reevaluated their content management systems and strategies due to AI advancements, remote working requirements, and concerns regarding data privacy.

Many corporate leaders have reevaluated their content management systems and strategies in light of artificial intelligence (AI) developments, remote work requirements, and data protection concerns.

Organizations utilize enterprise content management (ECM) systems to build uniform information repositories, but these systems are rapidly incorporating AI capabilities, such as optical character recognition (OCR) and speech recognition, to automate operations. Cloud-based content platforms and knowledge management have become more popular because of the rising interest in ECM and remote work regulations. Data privacy legislation such as the GDPR and CCPA requires information governance professionals to prioritize data retention practices.

The main content management trends of 2023 should be understood by business leaders so that they may select the appropriate ECM products and strategies for their enterprises.

Historically, enterprises mainly employed traditional ECM systems to store documents in centralized repositories.

However, contemporary content management has extended beyond the storing of content. For instance, AI capabilities have enabled ECM systems to incorporate business process automation services.

The repository is not now the focal point. There is a growing interest in meeting the demands of important departments and business lines, such as employee file management for HR departments and claims processing for insurance.

Organizations do not desire storage, retrieval, and retrieval-only solutions. They want content services that can automate particular operations, such as data extraction and invoice processing, to increase productivity.

AI adoption in ECM was slow because many vendor offerings lacked pre-trained AI services, which are machine learning models that suppliers train with vast quantities of generic data. However, content platforms have begun to provide more of these services that typical company experts may set up.

Cloud deployment

Organizations began using cloud-based content services platforms for their ECM needs around the middle of the 2010s, and this trend has continued to grow. These platforms utilize a SaaS paradigm and offer several benefits over on-premises systems, including reduced upfront costs, fewer maintenance requirements, and more flexible licensing options.

Cloud-based content platforms allow enterprises to pick and select the content services they require. Most ECM software purchasers chose cloud-based models for their organizations, except for a few specialized scenarios in which organizations must adhere to tight data residency criteria.

In contrast to older ECM systems, cloud content platforms allow seamless connection with many other corporate applications, which can enhance workflows and boost employee productivity overall. These platforms also enable remote work by requiring only an Internet connection and valid credentials to access as an increasing number of enterprises embrace hybrid work strategies permanently, the need for cloud-based content services increases.