Using AI to Improve Manufacturing Processes With Bryan DeBois

Описание: Introduction of the Guest:

Bryan DeBois is the Director of Industrial AI at RoviSys, one of the world’s largest independent system integrators serving manufacturing and industrial companies. With more than 20 years of experience in operational technology, manufacturing execution systems, and plant-floor data infrastructure, Bryan focuses on operationalizing artificial intelligence to improve productivity and decision-making in industrial environments.

Here’s a Glimpse of What You’ll Learn:
●[03:15] Why generative AI is often the wrong solution for plant-floor operations.
●[06:50] The difference between knowledge problems and operational problems in manufacturing.
●[07:20] How predictive and analytical AI models improve process performance.
●[09:00] Why companies must document processes and collect data before using AI.
●[13:30] How “machine teaching” captures expert knowledge and trains autonomous AI systems.

In This Episode:

AI is powerful—but without structured processes and reliable data, it cannot deliver meaningful results.

In this episode, Adi Klevit interviews Bryan DeBois about how artificial intelligence is transforming manufacturing and industrial systems. Bryan explains why the excitement around generative AI often overlooks the unique realities of plant-floor operations, where errors can have serious consequences. In high-stakes environments like manufacturing, organizations must carefully choose the right type of AI for the job.

Adi and Bryan discuss the difference between generative AI, predictive models, and autonomous AI systems. Bryan shares how manufacturers can use predictive analytics to forecast product quality, optimize set points, and improve operational performance. These models are designed to solve operational problems rather than simply generate information.

The conversation also highlights a critical systems principle: AI only works when businesses have already documented their processes and established strong data collection practices. Bryan explains how companies capture expert knowledge through a process called “machine teaching,” allowing AI systems to learn from experienced operators and apply that expertise to improve future performance.

Sponsor for this episode:
This episode is brought to you by Business Success Consulting Group.

At Business Success Consulting Group, we create custom processes and tailor-made management systems so businesses can thrive.

Businesses simply can’t survive without workable systems and well-documented processes. That’s why our team of experienced professionals takes care of it for you.

We provide business owners, entrepreneurs, and key executives with strategic implementation, process improvement and documentation, and long-lasting systems necessary to support business expansion.

So, what are you waiting for? Do yourself a favor, and cut the chaos out of your business.

Visit https://bizsuccesscg.com today or email [email protected] to schedule a free consultation.