Natural Language Generation (NLG) for Automated Report Generation

Authors

  • Deepak Nanuru Yagamurthy 7 Eleven Inc
  • Rajesh Azmeera Stryker
  • Rhea Khanna Microsoft

DOI:

https://doi.org/10.47941/jts.1497
Abstract views: 118
PDF downloads: 59

Abstract

Automated report generation plays a vital role in numerous industries, enabling efficient and accurate communication of complex data. Natural Language Generation (NLG) is a powerful technique that leverages artificial intelligence (AI) to transform structured data into human-readable narratives. This white paper provides an overview of NLG and its applications in automated report generation. We explore the benefits, challenges, and best practices associated with NLG-based report generation, along with real-world examples. Furthermore, we discuss the current state of the technology, future prospects, and potential ethical considerations.

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Author Biographies

Deepak Nanuru Yagamurthy, 7 Eleven Inc

Technology Professional, Department of Information and Technology

Rajesh Azmeera, Stryker

Technology Professional, Department of Information and Technology

Rhea Khanna, Microsoft

Technology Professional, Department of Research

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Published

2023-11-09

How to Cite

Yagamurthy, D. N. ., Azmeera, R., & Khanna, R. (2023). Natural Language Generation (NLG) for Automated Report Generation. Journal of Technology and Systems, 5(1), 48–59. https://doi.org/10.47941/jts.1497

Issue

Vol. 5 No. 1 (2023)

Section

Articles

License

Copyright (c) 2023 Deepak Nanuru Yagamurthy, Rajesh Azmeera, Rhea Khanna

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution (CC-BY) 4.0 License that allows others to share the work with an acknowledgment of the work’s authorship and initial publication in this journal.