Bridging the Gap in AI-Driven Workflows: The Case for Domain-Specific Generative Bots

Akit Kumar, M. S. Lakshmi Devi, Jeffrey S. Saltz

Research output: Chapter in Book/Entry/PoemConference contribution

Abstract

The widespread adoption of generative AI tools, such as ChatGPT, has resulted in its extensive use in a broad range of situations. However, language models often generate inaccurate or misleading responses, negatively impacting its use. Developing domain-specific bots for specific work situations could enhance accuracy and robustness, enabling more effective use of Generative AI in a work context. To help explore this possibility, we developed a data science process-expert generative AI assistant (bot) and evaluated its efficacy. We observed that the bot significantly improved efficiency, guided the exploration of new concepts within data science project management, and fostered creativity. Moreover, the constant availability of the bot allowed access to expertise whenever needed. Furthermore, responses indicated people viewed the bot as a collaborative tool that enabled communication and comprehension of complex questions. In addition, a Likert-scale analysis showed that the bot has the potential to impact the data science field positively. In summary, this research underscores the value of domain-specific bots and the potential impact on data science project management, as well as in other domains.

Original languageEnglish (US)
Title of host publicationProceedings - 2023 IEEE International Conference on Big Data, BigData 2023
EditorsJingrui He, Themis Palpanas, Xiaohua Hu, Alfredo Cuzzocrea, Dejing Dou, Dominik Slezak, Wei Wang, Aleksandra Gruca, Jerry Chun-Wei Lin, Rakesh Agrawal
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2421-2430
Number of pages10
ISBN (Electronic)9798350324457
DOIs
StatePublished - 2023
Event2023 IEEE International Conference on Big Data, BigData 2023 - Sorrento, Italy
Duration: Dec 15 2023Dec 18 2023

Publication series

NameProceedings - 2023 IEEE International Conference on Big Data, BigData 2023

Conference

Conference2023 IEEE International Conference on Big Data, BigData 2023
Country/TerritoryItaly
CitySorrento
Period12/15/2312/18/23

Keywords

  • CRISP-DM
  • Chat Bots
  • Data Science
  • Generative AI

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality

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