Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Nurturing the Rudiments and Use Cases of Ongoing Natural Language Generation for a Future Profitable Business More Profitable Subject The topic of the resource Dialogue system; Lexicalisation; Micro planning; Orthographic realization; Sentence aggregation Description An account of the resource Decoding the world of artificial intelligence and its usage in the current intelligence landscape enhance bottom-up growth in building resilient global business. The areas of artificial intelligence (AI) concerned with human-to-machine and machine-to-human interaction. The Next Wave in AI-driven speech is Natural Language Generation (NLG). Natural Language Generation (NLG) is the use of artificial intelligence (AI) programming to produce written or spoken narrative from a dataset. NLG is related to computational linguistics, natural language processing (NLP) and natural language understanding (NLU). NLG research often focuses on building computer programs that provide data points with context. Sophisticated NLG software has the ability to mine large quantities of numerical data, identify patterns and share that information in a way that is easy for humans to understand. The speed of NLG software is especially useful for producing news and other time-sensitive stories on the internet. At its best, NLG output can be published verbatim as web content. The goal of Natural language generation (NLG) is to use AI to produce written or spoken narrative from a dataset. Therefore, this study aims to study how NLG enables machines and humans to communicate seamlessly, simulating human to human conversations and using NLG how organizations are building new customer experiences, monetizing information assets, introducing new offerings and streamlining operational costs. Therefore, the coverage of this chapter will answer to the industrialists and new start-ups. What can NLG do for business? and what are the future applications of NLG? 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. Creator An entity primarily responsible for making the resource Sivarethinamohan R.; Sujatha S. Source A related resource from which the described resource is derived Learning and Analytics in Intelligent Systems, Vol-25, pp. 149-160. Publisher An entity responsible for making the resource available Springer Nature Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-030-85383-9_10" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-030-85383-9_10</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179867572&amp;doi=10.1007%2F978-3-030-85383-9_10&amp;partnerID=40&amp;md5=000ddc3efaddc28f7b88eb42e77ea057" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179867572&amp;doi=10.1007%2f978-3-030-85383-9_10&amp;partnerID=40&amp;md5=000ddc3efaddc28f7b88eb42e77ea057</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 26623447 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sivarethinamohan R., Department of Professional Studies, CHRIST (Deemed to be University), Bengaluru, India; Sujatha S., K Ramakrishnan College of Technology, Tamilnadu, Trichy, India