Artificial Intelligence (AI) is revolutionizing industries, but its complexity can be overwhelming for many. In a new blog series, NIST Reliability Engineer and Data Scientist Michael Sharp aims to demystify Industrial AI (IAI) and provide practical guidance for businesses considering AI implementation.
The series breaks down the essentials of IAI, distinguishing it from consumer-focused AI applications. It covers key aspects such as:
- Fundamentals of Industrial AI
- Development processes
- Training considerations
- Practical evaluation methods
This beginner-friendly guide is designed to help manufacturers and industrial professionals assess the value and impact of AI-enhanced systems without requiring advanced technical knowledge. By focusing on the “what, when, and why” of IAI assessment, the series offers a comprehensive overview for those looking to navigate the world of industrial AI applications.
Whether you’re considering investing in AI technology or simply want to understand its potential impact on your operations, this NIST series provides valuable insights into the fundamentals of Industrial AI acumen.
For the full article and to follow the multi-part series, visit the NIST Manufacturing Innovation Blog here.
Michael Sharp, the author, 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.