Best Artificial Intelligence Speakers for Manufacturing Conferences (2026 Guide)
Discover the Best Artificial Intelligence Speakers for Manufacturing Conferences. Compare AI experts on automation, Industry 4.0, robotics, and leadership.
If you’re searching for the Best Artificial Intelligence Speakers for Manufacturing Conferences, you’re in the right place. This guide is built for manufacturing executives, operations leaders, plant managers, supply chain and logistics teams, quality and reliability engineers, digital transformation leaders, and conference planners who need AI speakers fluent in the realities of modern manufacturing—Industry 4.0, smart factories, predictive maintenance, computer vision, robotics, supply chain optimization, quality control, workforce adoption, and responsible AI.
We analyzed major manufacturing and industrial conference agendas, smart manufacturing forums, Industry 4.0 summits, and common planner questions, then combined those insights with The Keynote Curators roster to deliver a research-driven lineup ready for your next event.
Why This Matters Now
AI is rapidly reshaping manufacturing. From predictive maintenance and computer vision inspection to demand forecasting, robotics, and digital twins, AI is driving gains in uptime, yield, safety, and efficiency. At the same time, leaders face challenges around adoption, workforce trust, governance, and ROI.
The Best Artificial Intelligence Speakers for Manufacturing Conferences don’t just explain the technology. They translate AI into operational impact, leadership decisions, and practical next steps that manufacturing teams can execute on Monday.
Choosing the right artificial intelligence speaker for manufacturing helps organizations modernize operations, strengthen resilience, and stay competitive in an increasingly automated world.
What Planners Are Actually Searching For
Event planners looking for an artificial intelligence speaker for manufacturing typically focus on these priority topics:
Smart factories and Industry 4.0 transformation
Predictive maintenance and asset reliability
Computer vision for quality inspection and safety
Robotics, automation, and human-machine collaboration
Supply chain forecasting and optimization
AI governance, ethics, and responsible deployment
Workforce adoption, change management, and upskilling
Earn repeat bookings from manufacturing and industrial audiences
Tip: Pair a visionary keynote with a practical operations-focused session, then close with a leadership or change-management lens to ensure adoption sticks.
Best Artificial Intelligence Speakers for Manufacturing Conferences
Top Picks (with rationale & signature talks)
Order is alphabetical. Click names for full bios, videos, and availability.
Adam Cheyer — Co-founder of Siri and Viv; shows manufacturers how conversational AI and intelligent assistants improve productivity, reduce friction, and support frontline teams without disrupting operations. Signature talks: “From Automation to Intelligence: AI on the Factory Floor,” “Designing AI Assistants Humans Trust.”
Dr. Fei-Fei Li — World-renowned AI researcher and computer-vision pioneer; explains how human-centered AI and visual intelligence are transforming manufacturing, robotics, and safety. Signature talks: “Human-Centered AI for Industry,” “Seeing Smarter: Computer Vision in Manufacturing.”
Dr. Gleb Tsipursky — Behavioral-science and change-leadership expert; helps manufacturing leaders drive AI adoption, overcome resistance, and align people with automation initiatives. Signature talks: “Leading AI Change on the Factory Floor,” “From Skepticism to Buy-In: Making AI Stick.”
Eric Siegel, Ph.D. — Predictive-analytics authority; shows how machine learning improves forecasting, maintenance, quality, and supply chain performance with governance that leaders can trust. Signature talks: “Predictive AI for Manufacturing Performance,” “Machine Learning That Delivers Operational Lift.”
Lisa Palmer — Strategy advisor and AI ethicist; delivers practical frameworks for responsible AI, governance, and human-in-the-loop decision-making in industrial environments. Signature talks: “Responsible AI in Manufacturing,” “Operationalizing Trust in Industrial AI Systems.”
Cassie Kozyrkov — Decision-intelligence pioneer; teaches manufacturing executives how to connect AI to business value, de-risk deployment, and make better operational decisions at scale. Signature talks: “Decision Intelligence for Manufacturers,” “Explainable AI Leaders Can Trust.”
Comparison Snapshot (at-a-glance)
This grid helps planners compare each artificial intelligence speaker for manufacturing based on relevance, format, and delivery.
Speaker
Manufacturing Focus
AI Angle
Formats
Virtual Ready
Typical Travel From*
Fee Band*
Adam Cheyer
Frontline productivity
Conversational AI
Keynote • Panel
Yes
Varies
Varies
Dr. Fei-Fei Li
Vision & robotics
Human-centered AI
Keynote • Fireside
Limited
Varies
Varies
Dr. Gleb Tsipursky
Adoption & change
Behavioral AI
Keynote • Fireside
Yes
Varies
Varies
Eric Siegel, Ph.D.
Ops & supply chain
Predictive modeling
Keynote • Workshop
Yes
Varies
Varies
Lisa Palmer
Governance & risk
Responsible AI
Keynote • Panel
Yes
Varies
Varies
Cassie Kozyrkov
Executive decisions
Decision intelligence
Keynote • Panel
Yes
Varies
Varies
Fees and travel vary by date, format, and routing.
Sample Agenda Blocks (Manufacturing AI Leadership Day)
Here’s how a full-day agenda looks when led by an artificial intelligence speaker for manufacturing:
Opening Keynote: Dr. Fei-Fei Li – Human-Centered AI and the Future of Manufacturing
Midday Session: Eric Siegel, Ph.D. – Predictive AI for Maintenance and Supply Chain Performance
Breakout: Adam Cheyer – AI Assistants for Frontline Productivity
Executive Panel: Lisa Palmer and Cassie Kozyrkov – Governance, Decisions, and Trust in Industrial AI
Case Studies (talk tracks your audience cares about)
These scenarios are commonly requested when hiring an artificial intelligence speaker for manufacturing:
Predictive maintenance reducing downtime and extending asset life
Computer vision improving quality inspection and safety compliance