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

Unlock The Power of Your Data

Today’s enterprises are swamped with data. Other than recently built modern data stacks there are systems ranging from financial systems,...

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driving data literacy

Generative AI in Corporate: Friend or Foe

Ensure trust in your corporate data when using Generative AI What can bring hundreds of Wall Street bankers to attend...

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The relationship between data culture and business value

Audio Event – The Relationship Between Data Culture & Business Value

Sean Bouskila (Illumex) talk with Dr. Prashanth Southekal, PhD, MBA 53:05 min...
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