Manufacturer of the Year Conference

A four-day industrial automation and digital transformation event at the Thomas M. Menino Convention & Exhibition Center. The program combines keynotes, an expo with demonstrations, and general-access sessions featuring customer voices, industry viewpoints, partner solutions, and product introductions. Featured tracks cover executive insights; AI and edge-to-cloud operational data; process control; production logistics; OT security; and the future of industrial automation. Industry tracks include automotive and tire, food and beverage, life sciences, mining and metals, energy, OEMs and machine builders, and water and wastewater. Topics include rare-earth processing automation, critical metals and industrial energy systems, grid decarbonization through hydro and bioenergy, and data-driven oil and gas operations. Five curated summits address process automation and PlantPAx DCS; secure digital operations, industrial data, AI, MES, digital thread, and OT cybersecurity; OEM machine building, digital twins, and secure design; production logistics, autonomous material movement, robotics, and orchestration; and industrial safety. The safety program covers functional-safety and cybersecurity standards including IEC 61508, IEC 61511, ISO 13849, and IEC 62443, as well as robotics, AI, and autonomous operations. Process-summit sessions include copper-mine control systems, PlantPAx modernization, predictive control, and EtherNet/IP. Keynotes address leading through change and complexity, the future of industrial operations, and innovation through experimentation.

Under the theme “Chemical Engineering Reimagined,” the meeting covers chemical-engineering research, technologies, and emerging growth areas. Program guides highlight AI and machine learning, climate change, industrial careers, and early-career faculty. The AI and machine-learning program includes sessions on process development; polymer simulation, informatics, and data analytics; data-driven pharmaceutical process controls; AI-enabled process design, scale-up, and workforce readiness; nuclear chemical engineering; manufacturing-system modeling; computational catalysis; digital twins in energy systems; biomass utilization; and data-driven medicine. Featured discussions consider digital transformation, evolving industrial ecosystems, sustainability pressures, and changing workforce expectations, as well as ways to incorporate data science into chemical-engineering curricula, degree programs, certificates, and teaching of statistics and programming. Featured lectures address chemical engineers’ roles amid advances in AI, sustainable energy, and an interconnected global economy, and the use of catalysis to convert biomass, CO2, and end-of-life polymers into fuels, chemicals, and materials. Other lecture themes include carbon circularity, process intensification, renewable hydrogen, and pathways toward net-negative carbon manufacturing.

The conference objective is to enhance the value of participation in AIST activities and provide resources to help attendees grow as leaders in the association and the steel industry. Program topics include a North American steel update, economic perspectives, AIST strategic plan and program updates, and a rapid-fire discussion for questions, comments, and concerns. Leadership sessions address leading through uncertainty using neuroscience, psychology, and practical leadership strategies. A session on applying AI across a steel business addresses finance, supply chain, HR, and sales; data privacy and protecting proprietary know-how; AI adoption examples; identifying which data is safe to use with which tools; and preparing an implementation plan for IT. The event is invitation-only and open to Member Chapter officers, Technology Committee officers, Board of Director members, Board standing committee officers, and AIST Foundation Board of Trustees.

Trade show and conference covering automation across manufacturing, logistics, healthcare, energy, and other industries. The conference combines show-floor technology exploration with expert-led sessions; its 2027 programming and speakers are still in development. Show-floor programming includes Keynote Stage presentations, Show Theater sessions and panels on emerging technologies, practical applications, and market trends, and Innovation Stage presentations featuring new hardware, software, technologies, and approaches to work. Other featured programming includes startup pitches, live demos, the Startup Challenge, Innovation Awards, Humanoid Pavilion & Stage, and AMR technology demos.

Exhibit areas include automation, robotics, smart manufacturing, precision machining, software solutions, industrial IoT, and cybersecurity. The Executive Perspectives series features panels with manufacturing-company executives and technology providers; Knowledge Bars cover advanced manufacturing technologies and how innovation and AI adoption can address technology challenges for small and midsize manufacturers. Other listed features include the SME Mission Critical: Workforce 2030 experience on manufacturers’ workforce challenges; a Pop Up Factory demonstrating an assembly and inspection workflow that captures data and connects apps, devices, and analytics; and a Corporate and Institutional Roundtable addressing the manufacturing skills gap, alignment between academic outcomes and workforce needs, and strategies for manufacturing’s future. The Bright Minds College Experience includes executive chats, student-led sessions, hands-on exposure to advanced manufacturing technologies, industry roundtables, and discussions about the manufacturing workforce.

The event features exhibits in automation, robotics, smart manufacturing, precision machining, software, industrial IoT, and cybersecurity, alongside an executive keynote panel series and presentations, technology demonstrations, and interactive Knowledge Bars. The Knowledge Bars address how technology, innovation, and AI can help small and medium-sized manufacturers adopt technology. Featured technology areas also include additive manufacturing, advanced materials, digital transformation, energy and environmental efficiency, and manufacturing engineering. SME Mission Critical: Workforce 2030 focuses on manufacturers’ workforce challenges.

The program combines manufacturing exhibits with an executive perspectives keynote panel series and featured presentations across manufacturing disciplines. Exhibit and technology areas include automation, robotics, smart manufacturing, precision machining, additive manufacturing, software, industrial IoT, advanced materials, cybersecurity, and energy and environmental efficiency. The Smart Manufacturing Experience Knowledge Bars focus on advanced manufacturing technologies and how technology, innovation, and AI can help small and medium-sized manufacturers address technology adoption challenges. The event also features SME Mission Critical: Workforce 2030, focused on manufacturers’ workforce challenges, and the Bright Minds College Experience, with panels, roundtables, executive insights, peer learning, and hands-on exploration of manufacturing technologies.

The first program day examines the move from automated processes toward intelligent, connected systems capable of decision-making, optimization, and adaptive control. Sessions cover programmable cloud laboratory nodes for AI materials and manufacturing, Sandia’s Center for Advanced Manufacturing and Innovation, the Alabama Materials Institute, and an autonomous robotic metallurgist materials innovation platform. The program also connects self-driving and autonomous laboratory efforts associated with the Genesis Mission and Programmable Cloud Laboratories agendas to real-world applications, collaboration, and the future of autonomous manufacturing systems. An industry technology exhibition and demonstrations are included. The second program day explores Internet of Things for Manufacturing (IoTfM) use cases, implementation lessons, standards for connectivity and interoperability, and the future direction of IoTfM. Sessions address OPC UA, digital technologies and digital twins, factory-floor digital transformation, automation and additive manufacturing, manufacturing data, practical industrial IoT, and technologies shaping future factories. The program also includes advanced manufacturing pilot facility tour stations and demonstrations.

A practical workshop on using native AI to strengthen Stage-Gate in new product development. Topics include improving the quality and consistency of project evidence; identifying risks, gaps, and weak assumptions earlier; and deciding when to accelerate, redirect, or stop an innovation project. It also addresses trust, data quality, governance, and maintaining human accountability and sound leadership judgment in AI-assisted decisions. Intended for manufacturing professionals in product development, engineering, product management, operations, continuous improvement, strategic planning, investment decisions, technology adoption, and AI governance. Participants will take away practical approaches to making Stage-Gate a more effective risk-management and investment decision process and reducing the innovation “scrap pile.”