18th -19th June 2026
Agenda
AI, Cybersecurity, Industrial IoT, Data, Connected Worker,
Digital Supply Chain
DAY 1
08:00 - 08:50
REGISTRATION
08:55 – 09:00
CHAIRPERSON’S OPENING REMARKS
09:00 - 09:30
Handbook To Digital Manufacturing Transformation
- Pillars of Digital Manufacturing – Infrastructure, Data and Applications
- Secure industrial communications and connectivity
- Invest in fit for purpose technologies
- Prepare for the future by embedding advanced and emerging technologies
Sohard Aggrawal, Head of Digital Manufacturing, Reckitt
09:30 - 10:00
The C-Suite strategy that will shape the future of manufacturing
- The business model that has developed since the mid 1970’s is not fit for purpose
- 70% of transformation programs fail
- The reason is due to a systemic problem with the current global model
- Without change, future programs will also fail
- The solution requires leadership from the C-Suite
- The solution will bring about a global paradigm shift
- The UK manufacturing sector is already changing
John Robinson, Founder and Creator, The Quorum Principle Limited
10:00 - 10:30
Achieving Manufacturing Excellence with Cloud-based Solutions
- Bridging the Physical-Digital Gap & Centralizing Operational Data: transform siloed, raw data into structured entities and intelligent queries
- Real-Time Visibility: provide plant managers with immediate visibility into global operations
- Driving Measurable Outcomes: enhance efficiency through the precise tracking of material usage, order status, and plant-level waste reduction
- Scalable Transformation: Establish a strategic roadmap for industrial enterprises to accelerate digital maturity and operational excellence
Jakob Hall, Global Digital Transformation Director, Velotic
10:35 - 11:25
COFFEE BREAK
11:30 - 12:00
Enabling the Front-Line with Data and AI
- Why 47% of leading manufacturers are using AI to empower front-line workers
- How turnkey AI solutions help junior operators perform like seasoned veterans, driving operational excellence
- Gaining a competitive edge by lowering costs, improving Overall Equipment Effectiveness (OEE), and addressing productivity gaps caused by workforce turnover
- Showing how manufacturing benefits from AI and advanced analytics
- Understanding common pitfalls that cause AI projects to fail and strategies to ensure successful implementation
12:00 - 12:30
Evergrowing Role of Data Integration in Value Generation
- Integration readiness and data spaces: The importance of data infrastructure
- Applying the right concepts to facilitate data integration
- Are data formats the true integration drivers / limits?
- AI or DIE? The role of data structures in AI projects and the role of AI in data structures
Dr. Martin Beisiegel, BD/PM, Steinhaus Informationssysteme GmbH
12:30 - 13:00
Optimizing Manufacturing Processes: Strategies to Improve Process Flow, Reduce Cycle Time, and Boost Efficiency
- Identifying bottlenecks, optimizing workflows, and streamlining the production process for enhanced efficiency
- Leveraging digital tools, IoT, and data analytics to monitor and optimize manufacturing operations in real-time, driving faster decision-making
- Improving Equipment Utilization: Strategies to enhance the utilization and uptime of critical manufacturing equipment, ensuring that production capacity is maximized
- Workforce Optimization: Aligning workforce skills and capacity with production demands, enhancing team collaboration, and reducing downtime through effective training and deployment
- Continuous Process Improvement: Establishing a culture of ongoing process evaluation and refinement to ensure long-term improvements in production efficiency
PLANNED INVESTMENT AREAS
- Digital Technology
- Workflow and Process Automation
- Automatic & Autonomous Transformation Solutions
- Supply Chain Digitalization
- Solutions for industrial PC’s and Monitors
- Manufacturing Supply Chain Strategy & Implementation
- Supply Chain Software
- Industrial Automation & Control solutions
- Data Governance
- Connected Worker
- Artificial Intelligence
- Cloud Manufacturing
- Digital Twin
- Workforce Training and Development
- Machine & Deep Learning
- Industry 5.0
- Lean Digital Manufacturing
- Connected Manufacturing
- Big Data & Manufacturing Information
- Smart Manufacturing / Digitalisation
- Cybersecurity
- Manufacturing Automation
- Predictive Maintenance PdM 4.0
- Cloud, Edge & IoT Data Management
- AI Enabled Supply Chain
- Asset Optimization & Inspection
- M2M Communication
- Wearable Digital Technology
- Asset Performance Management (APM 4.0)
- Sensors
13:05 - 13:55
LUNCH
14:00 - 14:30
How to start & strengthen the implementation of your operational (digital) excellence program!
Operational excellence is a key driver of transformation, enabling organizations to enhance employee engagement and digitalization. By developing strong leadership capabilities and fostering a culture of continuous improvement, companies can achieve sustainable cost savings, increased productivity, and higher employee satisfaction. This session will explore the critical leadership actions needed to accelerate and sustain these capabilities, ensuring long-term performance improvements.
- How a structured operational excellence approach builds leadership capability and employee engagement.
- Practical strategies for selecting and implementing digital systems to become a smart factory.
Salvatore Impellizzeri, Global Director Manufacturing Innovation and Capability Work, Procter & Gamble
14:30 – 15:00
Industrial Transformation at Scale: Practical Technologies Powering the Factory of Today
- Transforming maintenance history and MES data into instant, AI-driven support for frontline teams
- Unlocking the power of proven solutions—making hidden know-how instantly accessible and actionable across shifts
- Building a cloud-based backbone for scaling troubleshooting intelligence seamlessly across global operations
- Standardizing tools and data sources to create a unified layer of operational intelligence for every plant
- Bringing AI straight to the shop floor—turning complexity into clarity and speeding up every decision
Jan Kolarcik, Head of Industrial Engineering & I4.0, Aumovio SE
15:00 – 15:30
Using AI and AR in a matrix production in flow
- Concept of a matrix production in flow
- Data challenges and utilisation
- AI-driven approaches for optimising test strategies
- AI-supported production order planning in a matrix production environment
- Virtual commissioning enabled by simulation and augmented reality
Michael Scholz, Head of Factory Engineering, Siemens AG
15:35 - 16:25
COFFEE BREAK
16:30 - 17:00
Building Agentic AI for Supply Chains
- From freight marketplace to AI-native logistics platform.
- Command AI: unifying ERP, TMS, and WMS for real-time orchestration.
- Athena: autonomous agents planning, assigning, and optimising in real time.
- Orchestration vs. Automation: transitioning from rule-based “if-then” logic to perceptive, goal-oriented reasoning that adapts to perpetual volatility without manual triggers.
- Case study: Apollo Tyres — 12.5% cost reduction, +24 pts OTIF.
- The future: measurable efficiency, explainable AI, and autonomous execution
17:00 - 17:30
From Insight to Action: Agentic AI for the Connected Shop Floor
- AI-powered manufacturing software built for the shop floor accelerates decisions, autonomy, action, implementation — and ultimately productivity.
- Connected Workforce platforms are uniquely positioned to operationalize agentic AI where it matters most: at the line, in the hands of the people doing the work.
- Redzone is live in 2,000 sites globally, with 550,000 frontline workers using it every day to take action, communicate problems, visualize line performance, run tiered meetings, complete quality/safety checks and TPM, train on the job, and surface root causes.
- Measurable results in 90 days from go-live — and fully implemented in just 8–10 weeks.
Nevin Castellucci-Najar, Sales Director, EMEA, QAD Redzone
PLANNED INVESTMENT AREAS
- Digital Technology
- Workflow and Process Automation
- Automatic & Autonomous Transformation Solutions
- Supply Chain Digitalization
- Solutions for industrial PC’s and Monitors
- Manufacturing Supply Chain Strategy & Implementation
- Supply Chain Software
- Industrial Automation & Control solutions
- Data Governance
- Connected Worker
- Artificial Intelligence
- Cloud Manufacturing
- Digital Twin
- Workforce Training and Development
- Machine & Deep Learning
- Industry 5.0
- Lean Digital Manufacturing
- Connected Manufacturing
- Big Data & Manufacturing Information
- Smart Manufacturing / Digitalisation
- Cybersecurity
- Manufacturing Automation
- Predictive Maintenance PdM 4.0
- Cloud, Edge & IoT Data Management
- AI Enabled Supply Chain
- Asset Optimization & Inspection
- M2M Communication
- Wearable Digital Technology
- Asset Performance Management (APM 4.0)
- Sensors
17:30 - 18:00
Holcim’s Plants of Tomorrow Journey
- Holcim’s intro and strategy
- Plants of tomorrow program
- Examples
- Challenges and success factors
Marjan Milosevic, Head of Smart Operations, Holcim
18:00 - 19:00
DRINKS RECEPTION
DAY 2
08:55 – 09:00
CHAIRPERSON’S OPENING REMARKS
09:00 – 09:30
Opening the Door to Supply Chain Transformation - The ASSA ABLOY Way
- Continuous Supply Chain Transformation
- Integrated Planning and Outbound Connected
- The journey to improved Customer centricity
- Digitization challenges
Danny van der Ster, VP Supply Chain, Assa Abloy
09:30 – 10:00
New Lean to Double Productivity: End to End Operations for High Variety Manufacturing. An applied research perspective
- Why classic Lean reaches its limits in high variant, volatile manufacturing environments
- What the New Lean study reveals about doubling productivity – and what it does not
- End to End Operations as the missing link between strategy, shopfloor, and IT
- How core components, flexible factories, and AI must be designed together
- Typical pitfalls of digital and AI initiatives in variant manufacturing – and how to avoid them
Roman Ungern-Sternberg, Head of BU Operations, Fraunhofer Institute for Manufacturing Engineering and Automation (IPA)
10:00 - 10:30
New Ways of Working: The No-Code Advantage in Industrial AI
- A roadmap for agile production, from foundational data to autonomous operations.
- No-code ML: frontline teams deploying in days, not years.
- A three-step framework: prioritize, integrate, operationalize.
- Documented customer value: USD 1M to 5M in annual savings.
Remi Goget, SVP Technical Sales & Customer Success, Intelecy
10:35 - 11:25
COFFEE BREAK
11:30 – 12:00
From AI Pilots to Production: The Data Maturity Path to Real-Time Industrial Intelligence
Most AI in manufacturing fails due to fragmented operational data across PLCs, MES, historians, and cloud systems, lacking shared data models and validation.
- This session details a practical data maturity path for manufacturers to move from isolated pilots to production-scale AI and agentic operations
- Establish enterprise-wide real-time data accessibility using a Unified Namespace
- Build an AI-ready data layer that contextualises and governs raw telemetry
- Define governance and control frameworks for safe AI and industrial agent deployment
Shashank Sharma, Director of Product Marketing, HiveMQ
12:00 – 12:30
From Gut Feel to Foresight: De‑Risking Manufacturing Decisions with Simulation and Digital Twins
This talk shares practical examples of how manufacturers de‑risk expansion, automation and supply‑chain decisions
- Manufacturing leaders are making multi‑million‑pound decisions using static models in highly dynamic systems
- Variability, interaction effects and uncertainty are the real reasons plans don’t survive contact with reality
- Simulation and digital twins allow leaders to explore “what happens if?” before committing time, capital or reputation
- Leading organisations now use digital twins as decision-support systems, not visual dashboards
- When combined with optimisation, these models don’t just explain performance – they identify better choices
Duncan Brown, Senior Business Development Manager, Haskoning
12:30 – 13:00
The Hidden Cost of Outdated Network Design
- Most supply chain networks have evolved over time, through circumstances and acquisitions, rather than by intentional design. Consequently, inefficiency is baked into the structures of many complex networks
- Traditional approaches to network design model transport, facility and process costs separately. This doesn’t reflect the interconnectedness of these dimensions in real-world supply chains, meaning most optimisation results are unrealistic and many opportunities for transformation and cost reduction are missed
- A smarter approach to network design and supply chain transformation is needed. By taking a multidimensional approach to optimisation, and optimising economies of scale in production and facility costs alongside transportation, leaders can evaluate opportunities for harmonisation, and understand tradeoffs and strategic tipping points between priority metrics
Beth Walker, Head of Sales and Marketing, SimPath
PLANNED INVESTMENT AREAS
- Digital Technology
- Workflow and Process Automation
- Automatic & Autonomous Transformation Solutions
- Supply Chain Digitalization
- Solutions for industrial PC’s and Monitors
- Manufacturing Supply Chain Strategy & Implementation
- Supply Chain Software
- Industrial Automation & Control solutions
- Data Governance
- Connected Worker
- Artificial Intelligence
- Cloud Manufacturing
- Digital Twin
- Workforce Training and Development
- Machine & Deep Learning
- Industry 5.0
- Lean Digital Manufacturing
- Connected Manufacturing
- Big Data & Manufacturing Information
- Smart Manufacturing / Digitalisation
- Cybersecurity
- Manufacturing Automation
- Predictive Maintenance PdM 4.0
- Cloud, Edge & IoT Data Management
- AI Enabled Supply Chain
- Asset Optimization & Inspection
- M2M Communication
- Wearable Digital Technology
- Asset Performance Management (APM 4.0)
- Sensors
13:05 - 13:55
LUNCH
14:00 - 14:30
From Models to Megawatts: Making Industrial AI Work in Production
- Why most industrial AI fails: data gaps, ownership issues, and lack of integration into real operations
- Designing AI around decisions: linking forecasting, optimization, and pricing directly to business impact
- Hybrid intelligence in practice: combining domain knowledge with machine learning for robust industrial systems
- Scaling from POC to production: reliability, explainability, and monitoring as core design principles
- Building high-performing data science teams: embedding DS in value chains with end-to-end ownership
- Lessons from energy systems at Eneco and how they apply to smart manufacturing
Kaustav Basu, Data Science Manager, Eneco
14:30 - 15:00
Driving Adoption, Standardization & Maturity in Connected Worker Program in Global Scale
- Standardization as the foundation: processes, taxonomy, content governance
- Ensuring user adoption through co‑design, training, and change management
- Balancing self‑service flexibility with guardrails to avoid deviation
- Using maturity models to guide phased deployment across sites
- Demonstrating tangible value: productivity, reduced errors, real‑time visibility
Ozgur Mutlu, Global Digital Manufacturing Manager, Danone
