Generative AI for Data Science

Struggling with messy data or incomplete datasets? Trying to find patterns in your static analysis or test results? Generative AI (GAI) is transforming data science by automating data cleaning, generating high-quality synthetic data, and optimizing model training. Learn with our hands-on examples ho...

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Bibliographic Details
Published inIEEE software Vol. 42; no. 4; pp. 20 - 24
Main Authors Ebert, Christof, Nawalramka, Priyanka
Format Journal Article
LanguageEnglish
Published Los Alamitos IEEE 01.07.2025
IEEE Computer Society
Subjects
Accuracy
Data analysis
Data models
Data science
Generative AI
Generative artificial intelligence
Prediction models
Predictive models
Software testing
Static analysis
Synthetic data
Training
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Summary:Struggling with messy data or incomplete datasets? Trying to find patterns in your static analysis or test results? Generative AI (GAI) is transforming data science by automating data cleaning, generating high-quality synthetic data, and optimizing model training. Learn with our hands-on examples how to enhance data science with GAI to accelerate insights, enhance accuracy, and set up predictive models.—Christof Ebert
Bibliography:ObjectType-Article-1
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ISSN:0740-7459
1937-4194
DOI:10.1109/MS.2025.3562046