From Review to Results: Using AI to Improve Stage-Gate Decisions and Kill the Right Projects Faster

The program pairs morning plenary sessions with concurrent Technology and Education & Workforce Development tracks. Topics include AI in manufacturing, manufacturers’ problems and needs, building ARM Institute-funded project teams, funding opportunities, and enrollment in manufacturing training programs. Interactive activities cover moving ARM-funded projects from development to factory-floor deployment; communicating technology needs, risks, and value in proposals; developing education and workforce grant proposals; and creating immersive learning experiences for manufacturing careers. Other program elements include project updates, five-minute member pitches on organizational capabilities, problems seeking collaborators, and products or services, and an introduction to the revamped ARM Member Community. Attendance is limited to ARM Institute members.

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.

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.

This half-day executive strategy forum uses panel discussions and open exchange to address the theme “Technology, Production and ‘New’ Manufacturing.” Attendance is limited to C-suite and senior executives at manufacturing companies.

The workshop covers advancements, challenges, and gaps in flexible hybrid electronics, hybrid electronics, and bio-signal sensing for real-time cognitive and physical state monitoring and augmentation, and includes AI for Metrology (AI4MT) sessions. Day 1, the Innovation Forum, features technical presentations on advances from FlexTech and NBMC. Day 2, Technical Gap Analysis, uses collaborative breakout sessions to examine technology gaps and roadmaps, shape FlexTech and NBMC research priorities, and inform future Request for Proposal directions. Day 3, the AI for Metrology Workshop, explores connecting metrology, failure-analysis, and test data across the semiconductor supply chain. Topics include AI-assisted defect localization and root-cause analysis, non-destructive modalities, targeted physical characterization, chiplets, heterogeneous integration, and advanced packaging. Industry tours at SkyWater Technology and NeoCity Academy are also listed.

The program pairs morning plenary sessions with concurrent Technology and Education & Workforce Development tracks. Topics include AI in manufacturing, manufacturers’ problems and needs, building ARM Institute-funded project teams, funding opportunities, and enrollment in manufacturing training programs. Interactive activities cover moving ARM-funded projects from development to factory-floor deployment; communicating technology needs, risks, and value in proposals; developing education and workforce grant proposals; and creating immersive learning experiences for manufacturing careers. Other program elements include project updates, five-minute member pitches on organizational capabilities, problems seeking collaborators, and products or services, and an introduction to the revamped ARM Member Community. Attendance is limited to ARM Institute members.

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.

Sessions examine natural gas market fundamentals for AI data center demand, including basin capabilities, rig activity, storage trends, pipeline bottlenecks, competition with LNG exports and other electricity demand, and commercial strategies for procurement, hedging, and risk management. The program also addresses AI and predictive analytics for pipeline nominations, forecasting, capacity management, and gas-flow optimization, plus integration with ERP, ETRM, CRM, and SCADA systems. Infrastructure discussions cover pipeline capacity, reliability and right-of-way; regional transmission, distribution and generation investment; federal-land development models; and the commercial and regulatory structures needed to advance large-load projects. Utility service challenges include pipeline limitations, public perception, permitting, capital requirements, commercial structuring, cost allocation, reliability obligations, and protecting existing customers. A developers roundtable covers demand forecasts versus speculative projects, developer qualifications, speed-to-power and behind-the-meter strategies, gas procurement, community hurdles, and regulatory and policy issues. Other sessions address mobile gas delivery and virtual pipelines, including CNG/LNG solutions for remote or capacity-constrained markets. The keynote considers AI-driven electricity demand, gas and electric utility bottlenecks, regional load growth, and nuclear energy. A Texas-focused panel examines policy, technology, research, planning, permitting, investment, and cross-sector coordination for large-load development, including data centers and advanced manufacturing.

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.

The half-day program examines space systems’ role in critical infrastructure resilience and the secure adoption of AI. Topics include protecting space-based communications, navigation, timing, and data services; applying zero-trust principles across spacecraft, ground systems, networks, users, and mission partners; and how Golden Dome for America may affect cybersecurity requirements, acquisition priorities, and resilient space architectures. The AI security theme covers AI-enabled threat detection and response across space, ground, and user segments, including human oversight; risks across AI models, training data, software, infrastructure, and vendors; and workforce readiness to deploy, govern, and defend AI-enabled systems. Government briefings, expert panels, and dedicated roundtables are planned.