Revising The World of Self-Service With Natural Language Processing

SAN FRANCISCO – The ascension of natural language processing through the ranks of artificial intelligence technologies is fairly evident. Its consumerization is demonstrated in a number of audio-related household gadgets, it's found in the most effective text analytics tools, and it's an integral aspect of speech recognition systems. Still, NLP is arguably producing the greatest impact on the enterprise in furthering the self-service movement, particularly in terms of the various implements required for Business Intelligence. According to MicroStrategy VP of Product Marketing Vijay Anand, however, the business value delivered by NLP hinges on more than simply comprehending the intention of the user: "Even with natural language queries and Alexa and all of these natural language tools, the problem of the deficit of these tools as we examine it [is] while it's easy to ask a question, I, for one, certainly believe that most people don't know what the right question is. You need to have that sort of understanding of the business to ask the correct question to get the right answer, first of all."