# How to Find the Right Balance of Data for Your Industrial AI System

> This blog is the second in a four-part series on the beginner’s guide to Industrial Artificial Intelligence applications. Understanding the inner workings…

**Updated:** 2025-02-04

**Canonical:** https://vendorcadreviews.com/blog/industry/2025-02-04-how-to-find-the-right-balance-of-data-for-your-industrial-ai-system/


## Article

/blogs/taking-measure/authors/michael-sharp

### Michael Sharp

Michael Sharp leads the Industrial Artificial Management and Metrology Project in NIST's Communications Technology Laboratory. He currently researches methods and metrology to integrate and qualify artificial intelligence for practical use in industrial and manufacturing settings. He received his Ph.D. in nuclear engineering from the University of Tennessee in 2012 and has been an active participant in state-of-the-art research communities for data modeling, sensing capabilities and artificial intelligence. In his spare time, Michael enjoys collaborative creative endeavors, such as D&D, and exploring outdoor spaces through hikes or disc golf.

## Why manufacturers might care

Read this as category context for manufacturers evaluating CAD-backed sales tools. Confirm vendor claims against primary sources and your own product family rules.

## Source

**[How to Find the Right Balance of Data for Your Industrial AI System](https://www.nist.gov/blogs/manufacturing-innovation-blog/how-find-right-balance-data-your-industrial-ai-system)** — via [NIST Manufacturing Innovation Blog](https://www.nist.gov/blogs/manufacturing-innovation-blog)

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## Disclosure

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