IEX 2026 · Global online conference

Physical AI in ManufacturingThe Next Five Years Start Today.

A focused one-day broadcast for owners, executives, plant leaders, technologists and implementation partners who need to understand what Physical AI can credibly change—and what must happen before it reaches the factory floor.

October 28, 2026Global online broadcast
Charlotte: 9:00 AM–3:00 PMEastern Daylight Time (EDT, UTC−4)
Berlin: 2:00–8:00 PM · Central European Time (CET, UTC+1)
Five expert panelsPractical management decisions
Free registrationReport and materials included
DBR77
Proud member of The Association For Manufacturing Technology (AMT)
Association for Advancing Automation (A3) member
ARM Institute
IEX is organized by DBR77 and promoted with industry partners. Membership references indicate DBR77 affiliations; they do not imply event endorsement unless separately announced.
Why this conference

Move from fascination to a factory decision.

IEX is built around the questions manufacturing leaders must answer before committing people, capital and operating responsibility.

See what is ready now.

Separate credible operational applications from demonstration, novelty and unproven scale.

Understand the conditions.

Connect technology with data, integration, safety, skills, ownership and financial logic.

Leave with a next step.

Use the report and post-event materials to structure a real discussion inside your organization.

The program

Five panels. Five decisions.

Each conversation begins with an executive question and ends with a practical takeaway—not a vendor pitch.

Opening · Report premiere

Physical AI in American Manufacturing 2026

The opening briefing connects market signals, adoption barriers and management choices. Every registered participant receives the report and approved post-event materials, whether or not they attend live.

Manufacturing leaders reviewing an automated production floor and operational data
Humanoid robot performing a controlled inspection task in a factory
PANEL 01 · HUMANOID ROBOTS

Humanoids Enter the Factory: Breakthrough or Expensive Experiment?

Where can humanoids create value—and what evidence is required before deployment?

Three theses

  • The first value will come from specific tasks, not general replacement.
  • Safety, reliability and workflow redesign matter more than a staged demo.
  • A credible business case needs utilization, integration and lifecycle cost.

What you leave with

A practical filter for deciding whether a humanoid use case deserves further engineering.

Industrial robot, collaborative robot and people working in one production area
PANEL 02 · ROBOTS & COBOTS

Robots, Cobots or No Robot?

How should leaders choose the right level of automation for a real process?

Three theses

  • Start with bottlenecks, safety and quality—not a preferred technology.
  • Flexibility and changeover can dominate nominal cycle time.
  • Total integration and operating cost decide ROI.

What you leave with

A decision sequence for comparing manual work, cobots, industrial robots and process redesign.

Production engineer reviewing live machine and quality data beside manufacturing equipment
PANEL 03 · MANUFACTURING DATA & AI

Your Factory Has Data. Can AI Actually Use It?

What must be true before factory data becomes decision-grade intelligence?

Three theses

  • More data does not compensate for missing context and ownership.
  • Closed-loop value begins with a specific operational decision.
  • Human validation remains essential where production risk is material.

What you leave with

A readiness checklist from machine signal to trusted operational action.

Plant and integration team commissioning a connected robotic production cell
PANEL 04 · SYSTEM INTEGRATION

The Automation Blame Game

Why do good technologies still become disappointing implementation projects?

Three theses

  • Unclear ownership creates technical and commercial ambiguity.
  • Acceptance criteria must cover the process, not only the machine.
  • Manufacturers and integrators need a shared evidence model.

What you leave with

A clearer project contract: baseline, owner, scope, evidence, acceptance and lifecycle responsibility.

Plant leaders comparing a factory Digital Twin with the real production line
PANEL 05 · AI & GLOBAL BUSINESS

AI and the Future of Global Business

How is AI reshaping global business—from physical operations to digital work—and what can leaders learn from different approaches to adoption around the world?

Three theses

  • AI is transforming physical operations and digital business processes, creating opportunities alongside practical challenges.
  • Experience across international markets offers different perspectives on AI adoption, readiness and competitive advantage.
  • Successful adoption requires balancing business value, costs and compliance while preparing people and organizations for change.

What you leave with

Practical insights from four AI experts to help you assess opportunities, understand risks and identify next steps for your business.

In partnership withNorth Carolina World Trade Association (NC WTA)North Carolina World Trade Association
Included with registration

Physical AI in American Manufacturing 2026

The report translates the conference into an executive decision tool.

  • State of adoption and the practical Physical AI landscape
  • Readiness conditions for robotics, data and intelligent operations
  • The changing role of system integrators
  • Five management decisions for the next factory
  • Post-event panel materials and approved recordings

You receive the report and post-event package even if you cannot attend live.

Register and receive the report
IEX 2026 · DBR77Physical AI in American ManufacturingExecutive report · Five panels · Practical decision tools
Broadcast schedule · October 28, 2026

One focused day.

Times are shown for Charlotte (Eastern Daylight Time, EDT, UTC−4) and Berlin (Central European Time, CET, UTC+1). Short breaks separate the conversations. Approved recordings and materials follow by email after the event.

Report premiere and opening briefingPhysical AI in American Manufacturing 2026.
Panel 01 · Humanoid Robots
Panel 02 · Robots & Cobots
Panel 03 · Manufacturing Data & AI
Panel 04 · System Integration
Panel 05 · AI & Global Business
Closing: from insight to the next 90 days
Free registration

Join live—or register for the report and follow-up materials.

This is one standard conference registration. Attendance is not required to receive the report and approved post-event package.

Registration is recorded in DBR77 HubSpot. Access information, report delivery and approved post-event materials will be sent to the address above.

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For partners

One professional registration destination.

Industry associations, media, universities and technology partners can promote this page directly. Every visitor sees the same program, receives the same registration confirmation and enters one governed HubSpot journey.

FAQ

Before you register.

Is IEX 2026 free?

Yes. Registration, online access, the report and approved post-event materials are free.

What if I cannot attend live?

Register anyway. The report and approved post-event materials will be sent to the registered email after the conference.

Is this an online or in-person event?

IEX 2026 is a global online conference produced from Charlotte, North Carolina.

Can I attend only selected panels?

Yes. One registration covers the full program; join the conversations most relevant to you.

Are all speakers confirmed?

Speaker announcements will be published only after confirmation. Invited experts are never presented as confirmed participants.

One report · Five panels · One next decision

Register once. Use the materials on your schedule.

October 28, 2026 · Global online conference · Free access

Register free
Torian Richardson
MODERATOR

Torian Richardson

CEO, DBR77 USA

Torian Richardson is a CEO, board director, investor, and builder whose work sits at the intersection of technology, transformation, and human potential. Across more than 25 years, he has led global teams, advised growing companies, and helped organizations navigate moments where strategy, talent, technology, and uncertainty collide. A former global director at NVIDIA, he now serves as CEO of DBR77 USA, where he is helping build the future of embedded AI, enterprise transformation, and industrial intelligence.

Clark Fritzsch

Clark Fritzsch

3580 Partners

Clark is a dual U.S.-German citizen based in Charlotte whose work sits at the intersection of logistics and supply-chain operations, enterprise technology, and practical AI adoption for mid-sized companies. Over 15 years, he has built and reworked supply chains, implemented enterprise systems, and operated across the U.S. and Europe. His current work includes helping European, particularly German-speaking, companies establish themselves in the U.S. Southeast and advising SMEs on where AI can create real operational value rather than simply another technology project.

Duane Kennedy

Duane Kennedy

CEO, CoreVector Systems

Duane is CEO of CoreVector Systems and founder of Kennedy Capital, with more than 20 years of experience building global partner ecosystems and closing $3 billion in commercial agreements. He spent 14 years working in Shanghai, advising U.S. and international enterprises on market entry, regulatory navigation, and deal structuring, and is fluent in English and Mandarin. Today, his work focuses on helping healthcare, biotech, and manufacturing companies navigate cross-border AI, data-residency, sovereignty, and compliance requirements while making technology architecture decisions that support global growth.

Dr. Kiryl Rudy

Dr. Kiryl Rudy

Chief Global/Government Relations Officer, Anderson Lab

Kiryl advises companies, investors, and institutions at the intersection of IT, AI, geopolitics, government relations, international trade, finance, and education, bringing more than 25 years of global experience across government, finance, technology, and international markets.