Manufacturing Data Summit

The 2025 Manufacturing Data Summit offers a forward-thinking agenda that addresses the most critical technological, engineering, operational, and strategic imperatives shaping the future of the European and UK manufacturing. Throughout the day, we’ll explore how manufacturers can transform for resilience, agility, and long-term value creation through the following core themes:

• Manufacturing 2035- vision & strategic outlook: What the manufacturing enterprise of the future will look like—and how to get there. Balancing sustainability, localisation, and resilience amid geopolitical shifts. Tackling persistent roadblocks including labour shortages, regulatory uncertainty, and supply chain volatility.
• AI & automation- from use-cases to implementation: Real-world case studies showing measurable AI outcomes—from operational cost savings to energy optimisation. Frameworks for selecting high-ROI AI applications and overcoming implementation and adoption challenges across varied manufacturing functions.
• Digital Twins & simulation-based decision-making: Harnessing digital twins to drive planning accuracy, scenario testing, and inventory visibility. Integrating MES, IoT, and real-time data to simulate, predict, and optimise production workflows.
• Data architecture & governance: Modernising data platforms and ecosystems for scale, speed, and accuracy. Leveraging cloud, SaaS, and emerging tech for simplified, high-performance data environments. Strategies to manage data overload while building cross-functional value.
• Cybersecurity, compliance & data ethics: Lessons from high-profile cyber breaches—understanding vulnerabilities and building resilience. How manufacturers can strengthen compliance with global standards while embedding trust in digital operations.
• Data strategy to business value: Master Data Management, data quality metrics, and frameworks for value-driven reporting. Turning data insights into supply chain efficiencies, accurate forecasting, and sharper decision-making. Building data literacy and embedding a data-first mindset across the workforce.
• Sustainability, ESG & operational transparency: Data intelligence for measuring, reporting, and improving environmental performance. ESG risk mitigation through better governance, data controls, and cross-functional alignment. Tools and indices (like COSIRI) that support transparency and audit-readiness.
• Investment & innovation funding: Accessing innovation grants, VC funding, and public sector support for AI and ManuTech. Making a strong business case for digital investments to internal and external stakeholders.
• Smart manufacturing & Industry 4.0: Evolving from traditional operations to a smart, connected factory. The role of analytics, real-time data, and fintech in transforming supply chains and predictive maintenance. Future-proofing through resilient infrastructure, cybersecurity, and ecosystem partnerships.