There are some certainties regarding content management that are inarguable:
- Content management strives to navigate the intersection of people, processes, and information.
- The complexity of people, processes, and information continues on an upward trajectory.
- Content management must simplify this complexity.
Additionally, there are some forecasts about how the enterprise will move ahead as it relates to content management. Some of the projected trends include:
- Privacy and security will be at the forefront of content management efforts, with an increase in effort and spending in these areas.
- Regulations and restrictions regarding the cloud and privacy will increase.
- As analytics become more sophisticated and AI and machine learning become intertwined in content management, making laser focused and accurate content suggestions will be a primary focus of content management systems.
How do organizations make sense of the certainties alongside these predictions about the future of content management? Let’s take a look.
Technology at the Convergence of People, Processes, and Information
Technology innovation has a way of disrupting content management and impacting best practices on a regular basis. Currently, we are amidst a user-centric IT era that largely utilizes cloud and mobile to facilitate access and engagement anywhere and anytime. This is being fueled by the Internet of Things, which is propagating massive amounts of new data and expanding the opportunities of content management.
This new norm of virtual and distributed networks makes access easier, but it also presents the challenge of information organization. Unprepared organizations can easily become buried under a barrage of information and processes, stifling their ability to adequately serve customers. Key problems include:
- Too much information
- Poorly organized information
- Silo’d information
- Information leaks
- Privacy and security issues around information
Businesses need to rethink the foundation of their content management systems. With an influx in data comes the need to organize that data into usable information. From there, that information needs to be synthesized into knowledgeable insights. Finding a cost-efficient way to leverage technology in this process is critical.
Technology will be a way to forge past simple information governance and transactional content management. The key will be finding a fluid way to enable knowledge synthesis, engagement, and collaboration that goes beyond the implementation of social tools and analytics add-ons.
Technology as a facilitator of improved privacy and security will need to be a consideration in that fluidity.
Privacy and Security Concerns Amidst New Risk Models
Finding effective and legal ways to manage information in this era of emerging technology has proven to be difficult for businesses big and small alike. The sheer volume of data and information circulating makes risk management a tall order.
Managing information assets and business content from creation to disposal in this environment can almost seem like anarchy as information flows in and out from an endless number of devices and systems. One school of thought posits that the best way to proceed is to prioritize critical content assets and ensure they are controlled, stored, and secured properly. This enables businesses to cut through miscellaneous content and focus on the heart of the matter.
Others think that is a recipe for disaster and that a hierarchy is paramount when it comes to content management and security. Internal teams that do not adhere to existing processes and structures are adding to the silo problem, increasing business risk, and rendering technologies and systems useless. When information is not managed as it was meant to, core processes cannot function as they were meant to. It’s an expensive problem. It also puts the organization at increased risk.
Moving Forward in Content Management
While privacy and security issues are non-negotiable considerations, businesses must also take into account how to use technology to their benefit in content management. This means exploring the various applications of machine learning and AI for intelligent content management.
Revisiting core architecture to facilitate interoperability and seamless exchange of information is where content management of the future lies. As the cloud focused on opening up content to anyone, anywhere at a lower cost, AI and machine learning have the ability to shift core processes and to increase the scalability of existing and emerging platforms. The result will be improved user experience, increased opportunities for collaboration, and more organized content management. It will change the way people work with content and facilitate better, more advanced and faster insights from information.