Themes

Your digital transformation journey is unique.

Your summit experience should be too.

Every delegate receives a personalised agenda, built around their specific challenges, investment focus, and active transformation programmes.

When you register, you’ll outline your current objectives and areas of planned spend. This allows us to curate your two-day experience — aligning you with the most relevant Think Tanks, Roundtables, peer discussions, and 1-to-1 meetings.

Your time onsite is structured around what matters to you.

Our Advisory Committee, made up of senior manufacturing leaders, reviews aggregated delegate priorities to ensure the programme reflects real-world delivery challenges — practical implementation across complex manufacturing environments.

The outcome?
A focused, high-value experience where every session is relevant, every conversation is intentional, and every interaction supports tangible progress.

Navigating smart manufacturing in new complex environments

Automation technology is evolving at an extraordinary pace as the AI revolution breaks into mainstream commercial operations. Digital implementation is now mandatory across the manufacturing value chain. 

But new areas of risk are also impacting supply chains – commodity price fluctuations, cost of importing materials and exporting products, energy efficiencies across manufacturing assets. 

The summit explores: how manufacturers can align IT-OT priorities, build interconnectivity between new digital technology and legacy systems, move from AI pilot projects to large-scale implementation, reduce operational expenditure through predictive maintenance, and build a resilient digital workforce through upskilling and training.

These challenges are unpacked through four core themes reflecting the key challenges manufacturers face today:

2026 Themes

Smart Manufacturing & Industrial Intelligence

Today’s manufacturing demands connected, data-driven operations that balance productivity, sustainability and regulatory complexity. This theme focuses on embedding automation, AI, advanced analytics and cloud-enabled infrastructure into physical factory environments. 

We address how manufacturers can modernise legacy-heavy environments while improving operational resilience and energy efficiency.

Key Topics & Technologies:

  • Integrating AI into existing production and OT environments
  • Scaling automation hardware and industrial IoT platforms
  • Improving OEE, throughput and energy performance
  • Leveraging cloud and edge computing for multi-site visibility
  • Aligning IT and OT teams around shared operational outcomes
  • Moving from pilot to plant-wide deployment

Resilient & Intelligent Supply Chains

European manufacturers are navigating tariff volatility, potential nearshoring and geopolitical disruption. This theme focuses on strengthening supply chain visibility and planning accuracy through predictive analytics and AI-driven forecasting.

The objective is digitally-driven resilience — enabling faster executive decision-making and improved collaboration across procurement, operations and finance functions.

Key Topics & Technoligies

  • Real-time supplier and logistics visibility platforms
  • AI-driven demand forecasting and disruption modelling
  • Managing tariff exposure and commodity volatility
  • Supplier diversification and risk mitigation strategies
  • Cross-functional data integration for better planning
  • ESG and regulatory reporting within supply networks

Agentic AI & Predictive Asset Performance

Maintenance strategies are evolving from reactive repair models to AI-driven operational intelligence. This theme centres on deploying agentic AI to anticipate failure patterns, optimise service intervals and improve spare-parts allocation across European facilities.

The focus is on scaling predictive systems beyond pilot programmes to deliver measurable uptime and lifecycle improvements.

Key Topics & Technologies:

  • AI-enabled predictive maintenance platforms
  • Embedding decision-support directly into workflows
  • Improving asset lifecycle management and reliability
  • Linking predictive insights to inventory optimisation
  • Building robust data foundations for AI modelling
  • Integrating predictive tools with ERP, MES and CMMS systems

Digitally Enabled Workforce Transformation

Technology transformation must be matched by workforce capability. This theme addresses how manufacturers are closing digital skills gaps, modernising talent strategies and embedding continuous learning into industrial environments.

The emphasis is on empowering people to collaborate effectively with automation, AI and advanced systems — building a resilient and future-ready manufacturing workforce.

Key Topics & Technologies:

  • AI-powered talent sourcing and workforce analytics
  • Immersive training through AR/VR and simulation tools
  • Building digital literacy across operations teams
  • Cultural transformation and digital leadership
  • Human-machine collaboration and safe automation
  • Aligning workforce development with long-term strategy

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