Themes

Your digital transformation journey is unique.

Your Summit experience should be too.

Every delegate at the Digital Manufacturing Strategies Summit USA receives a personalised agenda built around their active priorities, current initiatives, and planned investment.

During registration, you outline the programmes you’re delivering and the challenges you’re addressing. We then curate your two-day experience — aligning you with the most relevant Think Tanks, Roundtables, peer discussions, and pre-scheduled 1-to-1 meetings.

Your time onsite is structured around what you’re directly responsible for — from smart factory scale-up to legacy modernisation and supply chain resilience.

Our Advisory Committee reviews aggregated priorities to ensure the programme reflects real-world execution challenges across US manufacturing.

The result? A focused, high-value experience where every session and conversation supports measurable progress.

Navigating smart manufacturing in new complex environments

Automation is advancing rapidly as AI moves into mainstream manufacturing operations. Digital execution is no longer optional — it’s critical across the value chain. At the same time, US manufacturers are navigating reshoring pressures, tariff volatility, commodity price shifts, and rising energy costs — all while driving performance across complex plant networks.

The Summit explores how to align IT and OT, integrate new technologies with legacy systems, scale AI beyond pilot phase, reduce operating costs through predictive strategies, and build a resilient, future-ready workforce. These priorities are addressed through four core themes reflecting the real delivery challenges facing US manufacturers today.

2026 Themes

Smart Manufacturing & Industrial Intelligence

Modernize operations through connected systems, automation and AI-driven production intelligence to improve performance at scale.

US manufacturers are accelerating investment in industrial IoT, robotics and advanced analytics to drive measurable gains in OEE, throughput and cost efficiency — integrating new technologies into existing environments and scaling across multi-plant networks.

Key Topics & Technologies:

  • AI-enabled production optimisation

  • Industrial IoT and connected factory infrastructure

  • Robotics and advanced automation systems

  • Cloud and edge computing for plant visibility

  • IT/OT alignment for performance-driven operations

You’ll leave with: Practical frameworks to modernize production environments, improve operational KPIs and scale smart manufacturing initiatives across facilities.

Resilient & Intelligent Supply Chains

Strengthen supply chain visibility and planning accuracy to navigate reshoring, tariff volatility and global disruption across increasingly complex supplier ecosystems.

As US manufacturers rebalance sourcing strategies and manage trade risk, digital control towers, predictive analytics and AI-driven forecasting are becoming essential tools for resilience, agility and faster executive decision-making.

Key Topics & Technologies:

  • Real-time supplier and logistics visibility platforms

  • AI-driven demand forecasting and disruption modelling

  • Risk mitigation and supplier diversification strategies

  • Digital control towers and integrated planning systems

  • Data-driven collaboration across procurement and operations

You’ll leave with: Actionable strategies to improve planning accuracy, reduce supply chain risk and strengthen operational resilience.

Agentic AI & Predictive Asset Performance

Move from reactive maintenance to AI-powered operational intelligence that improves uptime and reduces cost.

Manufacturers are embedding predictive and agentic AI into maintenance workflows to anticipate failures, optimize service intervals and reduce excess inventory across assets and facilities.

Key Topics & Technologies:

  • Predictive maintenance and asset monitoring platforms

  • AI-driven failure pattern recognition

  • Integration with ERP, MES and CMMS systems

  • Inventory optimisation through predictive insights

  • Scaling AI from pilot to enterprise deployment

You’ll leave with: Proven approaches to reducing downtime, improving asset reliability and delivering measurable cost efficiencies.

Digitally Enabled Workforce Transformation

Build a digitally capable workforce ready to operate in AI- and automation-enabled environments.

Technology transformation depends on workforce readiness. US manufacturers are investing in digital literacy, AI-enabled recruitment and immersive training platforms to close skills gaps and strengthen human–machine collaboration.

Key Topics & Technologies:

  • AI-powered talent sourcing and workforce analytics

  • AR/VR and simulation-based technical training

  • Digital upskilling and continuous learning frameworks

  • Human–machine collaboration strategies

  • Change management for digital adoption

You’ll leave with: Practical strategies to strengthen workforce capability, accelerate adoption and align talent development with long-term digital strategy.

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