Quark Distribution Inc.

10/07/2024 | Press release | Distributed by Public on 10/07/2024 02:48

Revealing the Big Picture: The Places Your Enterprise Can Go with AI for Knowledge Management Use Cases

Knowledge management is certainly not a new concept. AI for knowledge management definitely is and has exploded over the past 18 months. There are many 'knowledge management' vendors, but what needs more recognition are the vendor solutions that support a specific knowledge management use case right across your enterprise.

Knowledge management is a process of capturing, organizing, storing, and sharing information within an organization to ensure that the most important content, insights, experiences, and expertise are housed in a central location and can be used effectively and strategically to support your business objective. Knowledge management also encompasses the ability to have the structures, strategies, and technologies in place to facilitate the flow of knowledge across employees, departments, and business stakeholders.

Actively managing knowledge assets helps your business make smarter decisions when it comes to innovating, improve operational efficiencies and foster a culture of continuous learning and improvement. It prepares you to successfully adapt to changing market conditions and importantly, changing customer behaviors.

Now, I've written a lot about the power of enterprise content, the role in plays in support the business objectives, and how to address content lifecycle complexities so your content strategies can scale for growth. Deploying a component content management system (CCMS) powered by AI and automation supports your ability to do all of this successfully.

So what role does AI for knowledge management play within your wider enterprise content lifecycle management (ECLM) strategy? A big one. It gives your organization the power to search, find, discover, reuse, repurpose and rebirth content - and this includes unstructured content - in ways that have never been so simple before, driving productivity, reducing rework and safeguarding content compliance.

Underpinning this is your ECLM system and strategy, providing the crucial framework to accurately store, manage and deliver the right content to internal and external audiences at the right time and in the optimum consumption format. By integrating AI knowledge management initiatives within ECLM, businesses can effectively manage their intellectual assets, facilitate collaboration, and ensure that the most accurate, compliance-controlled information is available at a moment's notice. This fusion of ECLM and knowledge management fosters trustworthy content team information sharing, which ultimately contributes to effective use of your people and enables your content to execute on giving your business a competitive advantage.

With the emergence of AI for knowledge management, it simply supercharges the opportunity. Every organization is arguably fast-tracking their understanding of how they can best leverage AI to their advantage. Adding AI to this mix simply advances the capabilities associated with automating tasks, optimizing operations, and supporting your ability to make smarter business decisions. It also is fueling the evolution of knowledge management across the enterprise.

Read results of the IDC Global Survey: Unleashing the Power of Automated Enterprise Content in Today's AI Era.