Using AI at Work: AI in the Workplace & Generative AI for Business Leaders
On "Using AI at Work", your host Chris Daigle and his expert guests help business leaders, executives, and teams who want to turn artificial intelligence into a real competitive advantage. Each episode shares real-world AI applications and AI transformation stories from companies successfully using AI in the workplace to improve productivity, decision-making, and operations.
You’ll hear from Chief AI Officers, innovators, and forward-thinking executives who are putting generative AI at work, from AI productivity tools and AI-powered workflows to non-technical AI training and workplace AI adoption strategies.
We cover:
- AI for business leaders – how executives use AI to lead change and drive ROI
- Generative AI tools – practical, easy-to-implement solutions for teams
- AI automation in business – streamline operations without massive tech budgets
- Executive AI education – upskilling leaders and managers for the AI era
- Real-world AI case studies – lessons learned from successful AI implementation
- AI in operations management – optimizing processes and reducing costs
- Ethical AI in business – navigating responsible and effective AI use
Whether you’re exploring AI adoption, leading AI-powered transformation, or looking for AI implementation guides, this podcast delivers a clear, non-technical roadmap to succeed in the AI-driven economy.
New episodes weekly.
Start learning how to put AI to work in your business today.
Using AI at Work: AI in the Workplace & Generative AI for Business Leaders
103: Using AI in Manufacturing: Generative vs. Predictive and Autonomous AI with Bryan DeBois
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Most manufacturers are chasing the wrong AI problem. In this episode Chris talks with Bryan DeBois, Director of Industrial AI at RoviSys, about why industrial AI for manufacturing requires a different approach than generative AI.
Bryan explains the limits of generative AI on the plant floor, why deterministic systems matter in high risk environments, and how analytical AI, predictive AI, computer vision, and autonomous AI are already being used to improve quality, safety, throughput, and asset performance. Leaders should listen to understand how industrial AI can protect expertise, strengthen operations, and create practical advantage beyond the ChatGPT conversation.
Chapters:
00:00 Introduction
01:16 Why Factory Floor AI Is Different From Knowledge Work AI
03:58 The Four Types of AI Used in Manufacturing Today
05:50 Why Generative AI Fails in High Risk Operational Environments
10:56 Manufacturing Risks Also Apply to Construction and Life Sciences
11:36 The Workforce Crisis Driving Industrial AI Adoption
15:26 Why Manufacturing Careers May Be Safer Than White Collar Jobs
20:42 Why Humanoid Robots Are Not the Future of Manufacturing
24:53 Capturing Tribal Knowledge Before Experts Retire
40:00 Who Should Own AI Inside Manufacturing Organizations
43:24 Meta’s Cicero Project and the Future of Hybrid AI Systems
47:08 Deterministic AI vs Probabilistic AI in Critical Industries
49:27 Where to Follow Brian De Bois and Learn More About Industrial AI
Resources:
🔎 Find Out More About Bryan DeBois
Bryan DeBois on LinkedIn:
https://www.linkedin.com/in/bryan-debois
RoviSys Industrial AI:
https://www.rovisys.com/ai
RoviSys:
https://www.rovisys.com
🛠 AI Tools and Resources Mentioned:
ChatGPT:
https://chatgpt.com/
Claude:
https://claude.com/
Grok:
https://grok.com/
Meta AI CICERO:
https://ai.meta.com/research/cicero
Google DeepMind AlphaGo:
https://deepmind.google/research/breakthroughs/alphago
Microsoft HoloLens:
https://www.microsoft.com/hololens
Obsidian:
https://obsidian.md
SAP:
https://www.sap.com
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