{"id":8404,"date":"2019-02-11T14:30:46","date_gmt":"2019-02-11T19:30:46","guid":{"rendered":"https:\/\/enterprise-knowledge.com\/?p=8404"},"modified":"2023-01-30T12:57:30","modified_gmt":"2023-01-30T17:57:30","slug":"beyond-find-the-five-levels-of-artificial-intelligence-for-knowledge","status":"publish","type":"post","link":"https:\/\/enterprise-knowledge.com\/beyond-find-the-five-levels-of-artificial-intelligence-for-knowledge\/","title":{"rendered":"Beyond Find: The Five Levels of Artificial Intelligence for Knowledge"},"content":{"rendered":"

At Enterprise Knowledge, our work in the field of Knowledge and Information Management has given us the opportunity to explore a wide range of organizational goals and business drivers with our clients.\u00a0<\/span>Over the years, these goals have progressed from simply seeking to managing information, to sharing knowledge, to allowing all users to find, explore, and discover the breadth of information an organization possesses, and now, increasingly, to realize the promises of Artificial Intelligence (AI).<\/span><\/p>\n

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In today\u2019s world, AI is an overly broad term, incorrectly used to express virtually any advanced computing concept. In reality, we at EK define it much more closely to Merriam-Webster\u2019s very simple definition, \u201c<\/span>the capability of a machine to imitate intelligent human behavior.<\/a><\/strong>\u201d When we take this definition, we get to start talking about AI in terms of what it can do for your organization and how it can address knowledge management in very real and actionable terms.<\/span><\/p>\n

AI has a number of exciting applications that will drastically transform our reality, from driving cars to performing medical operations. In terms of an organization\u2019s knowledge, the future of AI is much closer but potentially just as impactful.<\/span><\/p>\n

To this point, the vast majority of work in the knowledge and information space has come down to findability. Though search has progressed greatly, a number of organizations still struggle with the ability to design, implement, and maintain an effective search engine that surfaces the right content for the right people in a way that feels intuitive and natural. For some, search has progressed beyond simply returning a conglomeration of links. Through advanced design features like faceting and action-oriented search, we can now deliver a great deal of value. However, many other organizations are still struggling with more basic search, including the simple challenge of having the relevant materials returned and weighted correctly so they may be found.<\/span><\/p>\n

As we approach AI, we can go beyond find in order to deliver even more value to organizations. At EK, we talk about these elements as a set of capability levels of AI for Knowledge and Information Management, ranging from the easiest to the hardest to achieve:<\/span><\/p>\n

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