Moving beyond NLP to build niche capabilities
Enterprise functions such as - customer service, knowledge management, strategy & decision making - involve more complex task such as issue resolution, search on enterprise specific legacy data, understanding the trends and timeline etc. Understanding the context and addressing the request requires more than applying Natural Language Processing (NLP) techniques.
Enterprise data is usually laden with latent relationships and hierarchies embedded in it. Applications which do not tap into those embeddings fail to provide domain specific solutions and limit the complexity of tasks that can be accomplished. How can enterprises build niche capabilities that address complex domain specific needs?
AI can sift through the data to uncover such hidden patterns and build knowledge graphs that codify information into formats which applications and algorithms can leverage to build niche capabilities required to execute complex tasks with accuracy and speed. Latest advances in AI enable construction of ontologies and generating timeline of events/trends from multiple sources.