e-book

Generative AI for Data Management

Why, Where, & How Language Models Assist Data Teams

Data teams view language models (LMs) such as ChatGPT from OpenAI or BARD from Google with a mix of excitement and fear. Their fast, articulate answers to expert questions can help data teams discover datasets, write and debug code, document procedures, and learn new techniques as they build data pipelines. Exciting! But the fear also is justified. LMs can derail projects and undermine governance programs by giving answers that contain errors, sensitive data, or bias. 

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Data teams view language models (LMs) such as ChatGPT from OpenAI or BARD from Google with a mix of excitement and fear. Their fast, articulate answers to expert questions can help data teams discover datasets, write and debug code, document procedures, and learn new techniques as they build data pipelines. Exciting! But the fear also is justified. LMs can derail projects and undermine governance programs by giving answers that contain errors, sensitive data, or bias. 

Nearly 50% of the survey participants already use LLMs for tasks varying from data pipeline construction to documentation. Learn from their experience to boost your practice.

This eBook explores the emergence of LMs and LM-based tools as well as their implications for the discipline of data practice. And recommends ways to realize the productivity benefits of LMs while minimizing risk.

Table of Contents

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