GenAI Tools to Improve Data Science Project Outcomes

The introduction of Generative AI (GenAI) has significantly impacted data science, offering powerful tools that enhance project outcomes through automated analysis, decision support, and personalized guidance. This study investigates the features of GenAI-powered tools designed to support both individuals and teams in data science projects. Using a qualitative approach, this study identifies essential features for supporting individuals and project teams. Key findings suggest that GenAI tools should include tailored learning aids, automated data processing capabilities, and collaborative project management features that facilitate workflow efficiency. For tool features, teams prioritize resource sharing and collaborative progress, while individuals focus on personalized support and timeline management. The study also emphasizes the advantages of domain-specific GenAI tools, offering project-specific guidance and management that surpass the capabilities of generalized solutions.

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Publication Details

Published
2024-12-15
DOI
https://doi.org/10.1109/bigdata62323.2024.10825326
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.53
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article

GenAI Tools to Improve Data Science Project Outcomes

Akit Kumar, Jeffrey Saltz, M.S. Lakshmi Devi
1 citations
Big Data and Business Intelligence
0.53
article

GenAI Tools to Improve Data Science Project Outcomes

Akit Kumar, Jeffrey Saltz, M.S. Lakshmi Devi
article en
1 citations

Abstract

The introduction of Generative AI (GenAI) has significantly impacted data science, offering powerful tools that enhance project outcomes through automated analysis, decision support, and personalized guidance. This study investigates the features of GenAI-powered tools designed to support both individuals and teams in data science projects. Using a qualitative approach, this study identifies essential features for supporting individuals and project teams. Key findings suggest that GenAI tools should include tailored learning aids, automated data processing capabilities, and collaborative project management features that facilitate workflow efficiency. For tool features, teams prioritize resource sharing and collaborative progress, while individuals focus on personalized support and timeline management. The study also emphasizes the advantages of domain-specific GenAI tools, offering project-specific guidance and management that surpass the capabilities of generalized solutions.

Syracuse University (US)
Openalex Percentile: Top 22%
Big Data and Business Intelligence
0.53
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GenAI Tools to Improve Data Science Project Outcomes — Akit Kumar, Jeffrey Saltz, et al. · (2024) | TGRS Research Map | TGRS