Inside Industrial AI - Bryan DeBois

Keyboard Samurai - Industrial AI, Digital Twins, and Safer OT Automation

Mon, 17 Aug 2026 12:00:00 Z

Keyboard Samurai - Industrial AI, Digital Twins, and Safer OT Automation

Industrial AI can help manufacturers modernize legacy plants, but only if they understand the systems, data, people, and cybersecurity risks involved.

Host Wil Klusovsky speaks with Bryan DeBois, Director of Industrial AI at RoviSys, about bringing AI into real manufacturing and operational technology environments. Bryan explains how industrial AI connects with PLCs, HMIs, digital twins, and manufacturing data to improve processes without replacing every older machine. They also discuss IT/OT convergence, OT cybersecurity, deep reinforcement learning, and why experienced humans must remain part of critical decisions.

Understand how OT system integrators connect the plant floor

Learn how AI can optimize legacy manufacturing equipment

Explore digital twins and deep reinforcement learning

Identify cybersecurity concerns created by IT/OT convergence

Examine the growing manufacturing expertise gap

Recognize the limits of generative AI in critical environments

An Integrator's View of Applying AI

Mon, 20 Jul 2026 12:00:00 Z

An Integrator's View of Applying AI

Listen to the Episode - 36 minutes

Nothing in industrial technology news annoys me more than the hype around artificial intelligence—AI.

Looking to for realistic use of Industrial AI, I'm bringing in an interview with a practitioner. Bryan DeBois is Director of Industrial AI at RoviSys, one of the largest independent system integrators. He has 20 years in MES, historians, and plant floor software. He leads teams that operationalize AI and data infrastructure in live plants, working with the C suite and ops to turn goals into running systems.

We look at definitions of AI. Then turn to the technology development from when RoviSys developed its AI practice in 2019 pre-LLMs. RoviSys took autonomous AI beyond predictive applications. Hiring deep manufacturing expertise, they can use AI to assist the human in the loop to make constrained decisions. DeBois discusses real-world applications. He then leads us through the beginning of a project.

The Manufacturing Marketer: Manufacturers are using AI. How do they message on it?

Mon, 06 Jul 2026 12:00:00 Z

Manufacturers are using AI. How do they message on it?

Listen to the Episode - 34 minutes

Manufacturers are integrating AI into their own operations, and it’s more than likely that that includes your own company. So how do we message around it? And, should we? To help us sort this out, we’re talking to Bryan DeBois, Director of Industrial AI at RoviSys.

Connect with Bryan on Linkedin.

Using AI in Manufacturing: Generative vs. Predictive and Autonomous AI with Bryan DeBois

Tue, 30 Jun 2026 12:00:00 Z

Using AI in Manufacturing: Generative vs. Predictive and Autonomous AI with Bryan DeBois

Listen To The Episode

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 DeBois and Learn More About Industrial AI

Future Tech & Foresight - Industrial AI Transformation in Manufacturing

Mon, 22 Jun 2026 12:00:00 Z

Future Tech & Foresight

Industrial AI Transformation in Manufacturing With Bryan DeBois - Episode #228

Watch or Listen to the Episode

The conversation dives into real-world applications of autonomous AI, including its ability to fine-tune complex systems and deliver measurable results like significant energy savings and operational efficiency. It also addresses one of the industry’s biggest challenges: the loss of institutional knowledge as experienced workers retire, and how AI can preserve and scale that expertise.

Looking ahead, the episode explores the slow but inevitable adoption of AI in manufacturing, the risks and barriers holding companies back, and what the future could look like as autonomous systems become more deeply embedded in industrial environments. The question isn’t whether AI will transform manufacturing—but how quickly companies are willing to embrace the change.

Predict, Prevent, Produce: RoviSys Bryan DeBois on Manufacturing's Al Future

Mon, 08 Jun 2026 11:18:00 Z

Predict, Prevent, Produce: RoviSys Bryan DeBois on Manufacturing's Al Future

Reliability Matters: Episode 190

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What if your factory could predict failures before they happen, capture decades of human expertise, and make better decisions than ever before—without replacing the people who run it? Today’s guest sits right at the intersection of innovation and industry. Bryan DeBois, Director of Industrial AI at RoviSys, is helping reshape what manufacturing looks like in the age of intelligent machines. From predictive analytics that catch problems before they happen, to data-driven systems that optimize production in real time, Bryan’s work is transforming how factories think, learn, and produce.

But this isn’t about replacing people. It’s about amplifying human expertise and capturing decades of industrial knowledge before it disappears. In this episode, we’ll explore how smart factories are changing the game, what it really takes to begin a digital transformation, and why trust and transparency are just as critical as algorithms and code.

What stands out most is Bryan’s ability to make advanced technology practical. He’s not talking about theory, he’s helping real manufacturers integrate AI in ways that improve safety, efficiency, and sustainability.

This podcast is about how artificial intelligence is redefining manufacturing, the challenges of digital transformation, and the future of smart factories when I return in just a moment.

Voices of Automation: Bryan DeBois

Thu, 30 Apr 2026 12:00:00 Z

Voices of Automation: Bryan DeBois

Listen Here - 48 min.

In this episode of Voices of Automation, Zach Gelo sits down with Bryan DeBois, Director of Industrial AI at RoviSys, to explore the evolving landscape of industrial automation and AI.

Bryan brings over 25 years of experience at RoviSys, with deep expertise spanning Manufacturing Execution Systems (MES), machine learning, artificial intelligence, software development, and system integration. His work focuses on bridging the gap between legacy systems and modern automation technologies, helping organizations harness the power of Industrial AI to maximize efficiency while minimizing operational risk.

In this episode, Bryan shares insights on the practical challenges of automation and AI implementation, the importance of scalable system architecture, and strategies for successful digital transformation. They discuss lessons learned from complex integration projects, how machine learning and AI are shaping the future of industrial automation, and key considerations for teams looking to advance their capabilities without disrupting production.

Using AI to Improve Manufacturing Processes

Fri, 17 Apr 2026 19:40:44 Z

Using AI to Improve Manufacturing Processes

Host: Adi Klevit

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.

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.

AI in Manufacturing: Smart Factories and the Future of Production

Fri, 17 Apr 2026 19:23:58 Z

AI in Manufacturing: Smart Factories and the Future of Production

Hosts Kris and Brad sit down with Bryan DeBois, Director of Industrial AI at RoviSys.

Bryan is manufacturing veteran pushing the boundaries of autonomous agents and machines on the plant floor. In this episode, we discuss how agentic AI is reshaping production lines. Here are just some of the ways this is happening: AI is capturing vanishing tribal knowledge as seasoned operators retire; it's reducing material waste; and it's enabling systems that anticipate failures before they disrupt flow. Bryan shares frontline examples of AI bridging skill gaps, driving predictive uptime, and providing operators with decision-making tools that adapt in real time. Tune in for an optimistic talk on why autonomous industrial AI isn't tomorrow's promise, but today's competitive edge.

AI on the Plant Floor Is Not What You Think It Is

Mon, 09 Mar 2026 15:23:56 Z

The technology drawing the most hype may be the least suited for chemical processing and a systems integrator explains why autonomous AI, not generative AI, holds the real near-term promise.

Article by Jonathan Katz in Chemical Processing Magazine.

"While generative AI, the large language models (LLMs) like ChatGPT, commands most of the attention, it is autonomous AI that holds the most immediate potential for the plant floor, said Bryan DeBois, director of industrial AI for systems integrator RoviSys."

Manufacturing Insiders - AI Isn’t Replacing Experts—It Needs Them

Wed, 07 Jan 2026 12:00:00 Z

Bryan DeBois is the Director of Industrial AI at RoviSys. They are working to enable automation for manufacturers throughout the country through digital transformations. He is a fountain of knowledge surrounding the topic of AI. This conversation revolves around the differences between generative and autonomous AI and the best applications for each. He talks about the inner workings of these different AI models, how his company is using it to fight back against manufacturing brain drain, and the strategies that can help businesses begin to implement the infrastructure needed to fully take advantage of this technology.

YouTube - Watch Interview Here.

LinkedIn - Bryan & Nate

Why Industrial AI Still Struggles in Supply Chains

Mon, 08 Dec 2025 11:46:00 Z

Why Industrial AI Still Struggles in Supply Chains

As AI adoption accelerates across the supply chain, numerous manufacturers are discovering that success requires more than just technology. Scaling AI involves not only the development of advanced models but also a robust data infrastructure, effective training programs, and the preservation of institutional knowledge prior to its departure.

This week, host Ellen Wood engages with Bryan DeBois, Director of Industrial AI at RoviSys, to discuss the intricate challenges associated with implementing AI in industrial operations. Bryan provides insights from over two decades in the field, presenting a practical perspective on transitioning from isolated pilots to scalable, long-term solutions. He also examines how autonomous AI is poised to revolutionize the future of manufacturing and why the human element remains paramount. In this episode: The reasons industrial supply chains face difficulties in successfully scaling AI The significance of data maturity, training, and expert knowledge transfer How AI can enhance both operational excellence and sustainability.

Watch Now (YouTube)

AI in Manufacturing: Building Autonomous AI Agents for Industrial Process Optimization

Fri, 05 Dec 2025 11:38:34 Z

AI in Manufacturing: Building Autonomous AI Agents for Industrial Process Optimization. Bryan DeBois joins Kudzai Manditereza on the podcast to share how to leverage artificial intelligence and autonomous AI agents to optimize manufacturing operations and improve efficiency.

They discuss the possibilities of using AI to achieve factory automation, solve problems, and improve production efficiency. Tune in to learn about the latest tech innovation in manufacturing. Bryan DeBois, Director of Industrial AI at RoviSys, has spent 25 years in manufacturing and six years specifically building AI solutions for the plant floor. His team has learned one critical lesson: operationalizing AI, not just building it, is where the real value lives. And after 75% of AI models never make it to production, it's clear the industry needs a different approach.

Watch Now (YouTube)

00:00 – Introduction

05:24 – What are the top operational challenges AI is uniquely positioned to solve?

09:26 – Are AI “co-pilots” the right model for manufacturing operations?

12:08 – What does it mean to “operationalize AI” on the plant floor?

16:07 – Why pilots often fail: the gap between proof-of-concept and real adoption

16:59 – What does a typical industrial AI architecture look like?

21:37 – How do you integrate industrial AI solutions with legacy OT & IT systems?

27:14 – The role of Digital Twins: how they connect with Industrial AI

32:11 – Real-world case study: glass bottle manufacturer using Industrial AI agents

36:04 – Closing the loop: when should industrial AI take direct control of processes?

40:27 – Measuring ROI: what metrics should leaders track for AI in manufacturing?

45:16 – What does the customer engagement roadmap look like? (workshops, assessments, solutions)

50:13 – Why do so many AI projects fail — and how to avoid common pitfalls

54:37 – Prediction: the future of AI agents in manufacturing (reinforcement learning + generative AI)

Dynamics Corner - Episode #429 - AI's Role in the Modern Workplace

Wed, 03 Dec 2025 15:16:20 Z

Episode 429: Transforming Manufacturing: AI's Role in the Modern Workplace

In this episode of the Dynamics Corner Podcast, hosts Kris and Brad speak with Bryan DeBois, Director, Industrial AI at RoviSys, about the transformative impact of AI in the manufacturing sector.

Bryan shares insights on how AI is bridging the skills gap, enhancing efficiency, and reshaping the modern workforce. From autonomous AI agents to predictive maintenance, discover how AI is not just a tool but a pivotal player in the future of manufacturing.

Listen Here.

Breaking the Bottleneck - Friday 5 w/Bryan DeBois

Fri, 21 Nov 2025 12:00:00 Z

How 25 Years in OT Revealed Key Risks in IT-Led AI Deployments

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You spent 25 years at RoviSys working in MES, historians, and other Level 3 systems before launching the Industrial AI division. How did that OT background shape your approach to AI?

When we launched the Industrial AI division in 2019, customer conversations were our main focus. We identified a clear market opportunity: some of our customers had small data science teams exploring AI, and new AI vendors were entering the OT space. But we kept hearing the same issue. These teams could develop ML models and predictive models that worked. However, after creating the models, everyone would wonder, “Who knows how to put this into operation on the plant floor?” There was a fundamental gap between the skills of data science teams and those necessary to keep a plant running 24/7. Customers told us they had success building models but struggled to move beyond the pilot stage.

So, what does it really take to operationalize an ML model on the plant floor? It’s not just about getting it up and running. You need a comprehensive approach that includes organizational change management. Consider this: you’re asking an operator who has spent over a decade learning to trust their senses to now trust an AI model. That demands significant organizational change. One reason many projects fail? Data science teams didn’t involve operators from the beginning. We know that for these projects to succeed, you must include the people who use them daily from the start. Anything seen as being forced from above is usually rejected outright.

We understood how to handle the people aspect. We recognized that processes would need adjustments, often requiring updates to the MES system and integration with the control system. We learned how to deploy technology on the plant floor that must operate 24/7. We knew all models experience drift, so a strategy for retraining and redeploying is essential. Importantly, from a technology perspective, despite many AI vendors promoting a cloud-based, closed-loop message, nearly none of our customers would accept that. Our customers still insist that any ML models deployed must be located either in the DMZ or the plant control network and remain completely disconnected from the internet. With this understanding, we decided, “Let’s get into this industry because we can make a difference with a different story.”

Full Interview Here!

Ethics TV - Episode #43 - Focus on operationalizing technologies: Artificial Intelligence, Data Infrastructure, & Advanced Analytics

Thu, 20 Nov 2025 12:10:00 Z

Bryan DeBois is the Director of Industrial AI at RoviSys, one of the largest independent Global System Integrators focused on manufacturing and industrial customers.

During the 25+ years he's worked there, he has focused on Manufacturing Execution Systems, Historians, Plant Floor Software, and Level 3 Information Solutions in the Operational Technology space.

Bryan’s current focus is on operationalizing technologies such as Artificial Intelligence, Data Infrastructure, and Advanced Analytics to boost the productivity of global manufacturers.

Watch Episode Here

The Next Generation of Expertise: Autonomous AI in Manufacturing

Mon, 03 Nov 2025 14:09:00 Z

A great conversation with Bryan DeBois - Director, Industrial AI at RoviSys and Ron Crabtree on MetaPod about tackling tribal knowledge loss, decision-making bottlenecks, and missed optimization opportunities. We explored how Generative, Predictive, and Autonomous AI fit into manufacturing, from machine teaching to predictive models that move us from reacting to anticipating. Plus, why starting AI in decision-support mode builds trust before moving to closed-loop control.

Watch on YouTube.

Thought Leaders Live - Leading Manufacturers into Industrial AI

Thu, 30 Oct 2025 12:00:00 Z

Artificial intelligence is redefining what’s possible in manufacturing—from predictive analytics to autonomous systems—but real transformation starts with strategy, not software.

In this LinkedIn Live, Bryan DeBois, Director of Industrial AI at RoviSys, will break down how leaders can prepare their organizations for the next industrial revolution. He’ll share practical insights on data readiness, workforce adaptation, and how to balance automation with human expertise to unlock real value from AI.

You’ll Learn:

How to identify high-impact AI use cases where “use cases lead, technology follows”
The biggest challenges manufacturers face in adopting AI—and how to overcome them
The shift from traditional to autonomous AI and its implications for workforce development
How to build trust in AI while keeping people at the center of progress

Watch the Episode

The Leadership and Learning Podcast - Episode #147

Thu, 16 Oct 2025 12:00:00 Z

Episode #147 – AI in Manufacturing with Bryan DeBois, Director of Industrial AI at RoviSys

Listen Here

Host Randy Goruk on the Leadership and Learning Podcast as he welcomes Bryan DeBois, Director of Industrial AI at RoviSys, for an insightful discussion on the transformative power of artificial intelligence in manufacturing.

Bryan shares his 25-year journey in the industry, explains how AI is revolutionizing operations—from capturing expert knowledge to enhancing safety and productivity—and addresses common misconceptions about AI’s impact on the workforce.

This episode is packed with real-world examples, practical advice, and inspiration for leaders looking to empower teams and drive innovation with AI.

You will learn:

How artificial intelligence is transforming manufacturing processes and operations.
Ways AI captures expert knowledge and accelerates skill development for operators.
Real-world examples of AI improving safety, productivity, and efficiency in manufacturing.
Strategies for balancing productivity gains with enhanced workplace safety.
How AI solutions can be implemented while managing common fears and misconceptions.
Insights on building ROI-driven business cases for AI initiatives.
The evolving role and value of human workers alongside AI-driven automation.
Practical steps companies can take to get AI-ready.
What the future may hold for smart manufacturing and Industry 4.0

U.S. Manufacturing Today - Episode #30 - leveraging AI and Smart Factories

Wed, 15 Oct 2025 12:00:00 Z

Episode 30: The Future of U.S. Manufacturing: Leveraging AI and Smart Factories with Bryan DeBois

In this episode of U.S. Manufacturing Today powered by Veryable, host Matt Horine speaks with Bryan DeBois, Director of Industrial AI at RoviSys, about how data, artificial intelligence, and smart factories are transforming American manufacturing.

Bryan shares his 25-year journey in the industry, the evolution of his company's AI initiatives, and how they are addressing current challenges. Key topics include the role of traditional AI, autonomous AI, and generative AI in modern factories, overcoming resistance to AI adoption, and the potential for AI to drive a reindustrialization and reshoring of American manufacturing.

The episode provides valuable insights for leaders looking to incorporate AI and digital transformations into their manufacturing strategies.

Listen Here

Industrial AI: Transforming Manufacturing

Thu, 06 Feb 2025 12:00:00 Z

Industrial AI: Transforming Manufacturing

Bryan DeBois, Director of Industrial AI at RoviSys, joined hosts George and Deana on the Lights on Data Show to discuss the evolving role of AI in manufacturing. During the conversation, Bryan highlighted the unique challenges industrial companies face when adopting AI, including risk aversion, long equipment lifecycles, and the urgent need to capture expert knowledge before experienced workers retire. He also outlined key drivers for AI adoption, from mitigating the impact of the "silver tsunami" workforce gap to optimizing well-established manufacturing processes.

The discussion explored the three major AI categories in industrial settings: traditional AI (including anomaly detection and predictive maintenance), autonomous AI agents capable of making human-like decisions, and the potential—but current limitations—of generative AI on the plant floor. Bryan also emphasized the importance of AI readiness, from robust data infrastructure to secure, plant-floor-deployable models that operate independently of cloud connectivity.

This is an episode you don’t want to miss!

Watch Here

From a Commodore 64 to Industrial AI: Bryan DeBois on Leadership, Mentorship, and Innovation

Fri, 06 Dec 2024 12:00:00 Z

From a Commodore 64 to Industrial AI: Bryan DeBois on Leadership, Mentorship, and Innovation

In this episode of the Manufacturing Culture Podcast, host Jim Mayer speaks with Bryan DeBois, the director of industrial AI at RoviSys. They discuss Bryan's journey from a young programmer to a leader in AI, the importance of mentorship, and the evolving role of AI in manufacturing. Bryan shares insights on generational differences in the workforce, the challenges of implementing AI, and the significance of building a positive company culture.

The conversation highlights the need for continuous learning and adaptation in the face of technological advancements.

Watch Here

Takeaways:

Discovering a passion for programming at a young age can shape a career.
Transitioning from technical roles to leadership requires preparation and willingness.
AI has the potential to solve real operational problems in manufacturing.
Generational differences impact how employees are motivated and managed.
Building a positive company culture is essential for innovation and engagement.
High expectations should be paired with coaching and support.
Empowering employees to solve problems fosters a proactive work environment.
Capturing expertise before it is lost is crucial for organizational knowledge.
AI should enhance human capabilities, not replace them.
Continuous learning and preparation are key to seizing opportunities.

Unlocking Industrial AI - Practitioners Unplugged

Thu, 05 Dec 2024 12:00:00 Z

Unlocking Industrial AI with Bryan DeBois

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In the rapidly evolving landscape of manufacturing, the integration of advanced technologies is no longer a luxury but a necessity. Among these technologies, Industrial Artificial Intelligence (AI) stands out as a transformative force, reshaping how manufacturers operate, optimize processes, and respond to market demands. The insights shared by Bryan DeBois, the Director of Industrial AI at RoviSys, during the Practitioners Unplugged podcast, illuminate the profound impact that AI can have on the manufacturing sector. >> AVEVA & Schneider Electric

The Role of Industrial AI

At the heart of Industrial AI lies the ability to analyze vast amounts of data generated by manufacturing processes. Traditional manufacturing systems often struggle to leverage this data effectively. However, with AI, manufacturers can harness data from various sources, including Manufacturing Execution Systems (MES), historians, and Enterprise Resource Planning (ERP) systems. This capability allows for real-time monitoring and analysis, enabling manufacturers to make informed decisions based on accurate insights.

Bryan DeBois emphasizes that the application of AI in manufacturing is not merely about automation; it is about enhancing decision-making processes. By utilizing machine learning algorithms and predictive analytics, manufacturers can anticipate equipment failures, optimize production schedules, and improve overall efficiency. This proactive approach not only reduces downtime but also minimizes operational costs, ultimately leading to increased profitability.

Why ChatGPT Can't Run Your Factory (Yet)...

Thu, 07 Nov 2024 12:00:00 Z

What's UP Enterprise Podcast: Why ChatGPT Can't Run Your Factory (Yet)...

Bryan DeBois, Director of Industrial AI at RoviSys, is sharing the real-world applications of AI in manufacturing. Learn more about the limitations of generative AI like ChatGPT on the plant floor, the potential of autonomous AI for decision-making, and the importance of data readiness for successful AI implementation. Plus, Bryan discusses the future of work and how AI can actually enhance human capabilities.

Watch Here

Highlights:

Generative AI like ChatGPT is powerful but not yet suitable for the complex, real-time decision-making required in manufacturing.

Autonomous AI, similar to self-driving cars, is the key to unlocking AI's potential on the plant floor.

Manufacturers face significant challenges with data silos and lack of integration, hindering AI adoption.

AI is not about replacing humans but empowering them to focus on higher-value tasks.

The future of AI lies in enhancing human capabilities and improving our quality of life.

Manufacturing Matters - Episode 65 - Bryan DeBois, Director of Industrial AI at RoviSys

Tue, 20 Aug 2024 12:00:00 Z

Manufacturing Matters Episode 65

In this episode of the Manufacturing Matters podcast, Bryan DeBois, Director of Industrial AI at RoviSys, shares insights into the transformative potential of AI in manufacturing. As a system integrator focusing exclusively on manufacturing and industrial customers, Bryan emphasizes the importance of operational technology (OT) in driving Digital Transformation. He explains that AI is not a futuristic concept but a practical tool that can be implemented today to enhance efficiency and productivity. RoviSys, founded in 1989, has been at the forefront of integrating AI into industrial processes, helping companies navigate through the hype and focus on tangible, impactful projects.

Bryan advocates for a pragmatic approach to AI adoption in manufacturing, urging companies to think in terms of continuous improvement rather than chasing the elusive "lights out factory" dream. He highlights the value of starting with specific use cases where AI can deliver measurable benefits, such as reducing scrap, improving yield, and optimizing energy utilization.

By leading with use cases rather than technology, manufacturers can achieve significant returns on investment. Bryan also discusses the importance of data readiness and infrastructure to support AI initiatives, stressing the need for clean, correlated data to train effective machine learning models. This episode is a must-listen for anyone interested in the practical applications of AI in manufacturing and the future of smart factories.