How Cognitive Computing is Shaping Knowledge Management
Cognitive computing and machine learning are going to transform knowledge management. Chatbots, cognitive search, natural language processing (NLP), and semantic technologies accelerate the ability of humans to find what they need to do their jobs.
But to foster an intelligence-driven organization that can handle a broad range of topics, the underlying search technology must be extremely robust.
KMWorld recently held a webinar featuring Paul Nelson, innovation lead, Accenture Analytics; and Scott Parker, senior product marketing manager, Sinequa, who discussed how cognitive computing is changing knowledge management and what to do about it.
Natural language processing is everywhere, Nelson explained, and the five main technologies utilizing this are chatbots, question answer, semantic search, fact extraction, and classification.
To succeed with NLP, there are several things enterprises should keep in mind:
Unstructured content holds critical insights
- This data can be processed for the first time
Talk to the user in their language
- Understand and act on what they are telling you
Know your customer = Improve your revenue
- Use your new-found knowledge to sell more
Move to a truly knowledge-driven organization
- Move corporate knowledge into knowledge graphs
- Leverage these graphs for everything you do
Eliminate paper-based communications
Being information-driven requires relevant insights in context, Parker said. An information-driven organization consists of a well-designed user experience, information connectivity, is enterprise-grade, can practice machine learning, has a search-based application, and a robust indexing engine.
An archived on-demand replay of this webinar is available here.