Manufacturers are entering a new era defined by economic uncertainty, workforce challenges, and accelerating technological change. Leaders are under growing pressure to increase output, strengthen resilience, and deliver measurable business outcomes while navigating increasingly complex operations.
Ageing infrastructure, legacy systems, skills shortages, and the need for greater operational agility continue to hinder transformation efforts. As automation, AI and smart factory technologies move from isolated initiatives to enterprise-wide adoption, organizations must establish scalable foundations that seamlessly connect data, systems, and teams.
Join manufacturing decision-makers in Chicago to explore the strategies, technologies, and real-world lessons shaping the next generation of smart factories. Discover how industry professionals are driving visibility, agility, and operational excellence while achieving sustainable ROI through connected, future-ready operations.
2026 Expert Smart Factories Summit Speakers
Scott Tankersley
Manufacturing Digital Transformation – Smart Factory Project Leader
American Honda Motor Company Inc

Deepak Sachdeva
Chief Information Officer
United States Air Force
Opeyemi Odusami
Former Associate Director, Global Supply Chain Product Lead - Rare Disease Franchise
Sanofi

Andy Mears
Production Operations Sr. Manager, Intelligent Factory Integration
Lockheed Martin

Sanjeev Kapoor
Senior Data & AI Program & Product Leader
Ford Motor Company
Leo Rajapakse
Global Head of Platform Infrastructure, Digital & Advanced Technologies
Bimbo Bakeries USA

Blake Gilson
Industrial Cyber Security Manager
ExxonMobil

Bill Nazario
OT Cyber Security Expert
Orange Busines

Samuel Parra
NA Manufacturing Integration Leader
BASF
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This summit will provide you with the necessary tools to:
- Build connected data foundations by eliminating silos, strengthening governance, and creating scalable architectures for AI and advanced analytics
- Enhance productivity, quality, and operational resilience through automation, connectivity, and intelligent manufacturing technologies
- Improve decision-making and operational visibility with trusted, accessible, and actionable data across the enterprise
- Equip teams with the skills, leadership, and cultural mindset needed to successfully drive digital transformation initiatives
- Accelerate the adoption of emerging technologies by aligning people, processes, and data strategies with business objectives
- Create a future-ready manufacturing organization capable of adapting to changing market demands and technological advancements
Who you will meet:
VPs, Directors, Global Heads and Managers of:
- Smart Factory
- Industry 4.0
- Smart Manufacturing / Digital Manufacturing / Advanced Manufacturing / Intelligent Manufacturing
- Intelligent Automation / Manufacturing Automation
- Manufacturing Operations / Engineering / IT
- IoT & Connected Devices
- Data / AI / ML / Manufacturing Analytics
- Digital Transformation
- Robotics & Process Automation
- Gen AI in Manufacturing
- Enterprise Architecture
- Supply Chain Digital Transformation
- Digital Engineering
Our sponsors, technology & solution providers include:
-
- IIoT
- Big Data, AI, ML, Analytics
- Automation and Robotics
- Cloud Computing
- Vision Systems
- Digital Twin Technologies
- AR/VR
- Cybersecurity
- Edge Computing
- Unified Name Space / MQTT / Data Integration Platforms
- AGV’s / AMR’s
- Predictive Maintenance / Condition Based Monitoring Tools
- Additive Manufacturing/ 3D Printing
- Digital Thread / Lifecycle Management Tools
- Smart Manufacturing Execution Systems (MES)
Which Industries Attend the Smart Factories Summit?

Sponsorship Opportunities
The Smart Manufacturing Technology vendor landscape is vast. New entrants are innovating rapidly. It is therefore a prerequisite that solution providers acquire a granular understanding of the industry’s needs in order to develop those bespoke solutions that are critical to winning new business.
Showcase your technology solutions to senior decision makers across roles in industry 4.0, manufacturing technology, and data & analytics.































