June 2027
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
Industrial AI: From Copilots to Autonomous Manufacturing
- Moving beyond generative AI assistants toward AI agents capable of executing manufacturing workflows
- Applying AI to production planning, quality, maintenance and process optimisation
- Combining generative AI with industrial data, machine learning and engineering knowledge
- Establishing human oversight, governance and safety for autonomous decision-making
- Scaling AI from individual use cases to enterprise-wide manufacturing intelligence
09:30 - 10:00
Digital Twins 2.0: Real-Time Manufacturing Intelligence
- Creating live digital representations of machines, production lines and entire factories
- Combining IoT, operational and simulation data for real-time optimisation
- Using digital twins to test process changes, layouts and production scenarios virtually
- Connecting digital twins with AI for predictive and autonomous optimisation
- Moving from isolated pilots toward enterprise-scale digital twin ecosystems
10:00 - 10:30
Supply Chain Intelligence: From Predictive to Prescriptive
- Combining AI, external data and supplier intelligence to anticipate disruption before it happens
- Moving beyond risk alerts toward automated recommendations and response scenarios
- Monitoring geopolitical, climate, financial, transport and supplier risks simultaneously
- Using AI to continuously optimise inventory, sourcing, capacity and logistics decisions
- Building resilient networks capable of rapidly adapting to unexpected events
10:35 - 11:25
COFFEE BREAK
11:30 - 12:00
Connected Worker & Human–Machine Collaboration
- Connecting operators with machines, processes and real-time production information
- Using wearables, AR and mobile interfaces to deliver contextual instructions and alerts
- Supporting workers with AI-powered troubleshooting and decision assistance
- Capturing frontline knowledge and converting it into digital operational intelligence
- Designing Industry 5.0 environments around human capability and machine intelligence
12:00 - 12:30
Autonomous Factories & Self-Optimising Production
- Moving toward production systems capable of detecting, deciding and responding autonomously
- Combining robotics, AI, machine vision and real-time process data
- Enabling production lines to automatically adjust to changing conditions
- Developing self-healing and self-optimising manufacturing processes
- Managing the governance, safety and human oversight requirements of autonomous operations
12:30 - 13:00
AI-Driven Predictive Maintenance & Asset Intelligence
- Moving from scheduled maintenance toward condition-based and predictive intervention
- Combining sensor, machine and maintenance-history data to predict failures
- Using AI to identify subtle patterns that indicate equipment degradation
- Optimising spare parts, maintenance resources and production downtime
- Creating enterprise-wide asset health and reliability intelligence
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
Industrial IoT at Scale: From Connected Machines to Connected Plants
- Moving beyond isolated IoT projects toward fully connected production ecosystems
- Connecting legacy equipment alongside new smart machines
- Creating common architectures for machine, sensor and production data
- Using real-time data to optimise OEE, energy, quality and throughput
- Tackling interoperability, cybersecurity and data-governance challenges at scale
14:30 – 15:00
Software-Defined Manufacturing & Composable Factories
- Separating manufacturing intelligence from fixed hardware through software-defined architectures
- Enabling production systems to be reconfigured rapidly for new products
- Using modular software and APIs to connect equipment, applications and data
- Reducing dependence on proprietary systems and accelerating technology deployment
- Building factories that can adapt production capacity and processes dynamically
15:00 – 15:30
Robotics, Cobots & Next-Generation Automation
- Scaling collaborative robots beyond simple repetitive tasks into adaptive production
- Combining robotics with AI vision and intelligent motion control
- Developing flexible automation for high-mix, low-volume manufacturing
- Enabling robots and humans to work safely within shared production environments
- Evaluating where intelligent automation delivers the strongest productivity and quality gains
15:35 - 16:25
COFFEE BREAK
16:30 - 17:00
Industrial Data Spaces & Interoperability
- Breaking down data silos across machines, plants, suppliers and enterprise systems
- Establishing common data models and semantic standards for manufacturing
- Connecting OT and IT environments without compromising security
- Enabling secure data sharing across manufacturing ecosystems and supply chains
- Turning fragmented factory data into trusted, reusable industrial intelligence
17:00 - 17:30
Cyber-Resilient Smart Manufacturing
- Securing industrial IoT devices, edge systems and connected machinery
- Using AI to detect abnormal behaviour and emerging cyber risks
- Building cyber resilience into factory architecture and equipment procurement
- Balancing connectivity and data accessibility with operational security and resilience
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
Agentic AI & Autonomous Supply Chain Orchestration
- Deploying AI agents that can sense, analyse, decide and execute supply-chain actions
- Automating planning, procurement, logistics and exception management
- Moving from predictive analytics toward autonomous supply-chain decision-making
- Coordinating multiple AI agents across suppliers, manufacturers and logistics providers
- Establishing governance, human oversight and trust for AI-led supply-chain operations
18:00 - 19:00
DRINKS RECEPTION
DAY 2
08:55 – 09:00
CHAIRPERSON’S OPENING REMARKS
09:00 – 09:30
AI-Optimised Energy & Sustainable Manufacturing
- Using AI and real-time data to optimise energy consumption across production
- Predicting and reducing energy peaks, waste and inefficient machine operation
- Integrating renewable energy, storage and flexible manufacturing into factory systems
- Connecting production, energy and carbon data for real-time sustainability optimisation
- Turning energy efficiency into both a decarbonisation and cost-reduction strategy
09:30 – 10:00
Industrial Metaverse, AR & Spatial Computing
- Using AR and spatial computing for remote assistance, maintenance and operator training
- Creating immersive virtual environments for factory design and process simulation
- Combining spatial data with digital twins to improve operational decision-making
- Enabling experts to collaborate remotely around live production assets
- Moving beyond experimentation toward measurable industrial use cases
10:00 - 10:30
The Autonomous Supply Chain: Connected Manufacturing Beyond the Factory
- Connecting real-time factory data with suppliers, logistics and customer demand
- Using AI to dynamically balance production schedules, inventory and capacity
- Creating end-to-end visibility from raw materials through manufacturing to delivery
- Predicting supply disruptions and automatically identifying alternative scenarios
- Building self-adjusting, resilient manufacturing networks rather than isolated smart factories
10:35 - 11:25
COFFEE BREAK
11:30 – 12:00
Physical AI & Embodied Intelligence in Manufacturing
- Moving AI from software environments into robots, machines and physical production systems
- Enabling robots to perceive, reason and adapt to changing factory environments
- Combining foundation models with machine vision, robotics and real-time sensor data
- Developing machines capable of learning from real-world production experience
- Addressing safety, reliability and validation before deploying physical AI at scale
12:00 – 12:30
Industrial Foundation Models & Manufacturing-Specific AI
- Developing AI models trained on industrial processes, machine data and engineering knowledge
- Using manufacturing-specific models for troubleshooting, optimisation and process control
- Combining text, sensor, image and machine data through multimodal industrial AI
- Creating reusable AI capabilities across plants, equipment and production processes
- Managing model accuracy, intellectual property, data ownership and operational trust
12:30 – 13:00
Real-Time Production Orchestration & AI Scheduling
- Using AI to dynamically optimise production schedules, capacity and machine utilisation
- Responding in real time to machine failures, material shortages and demand changes
- Balancing throughput, quality, energy consumption and delivery requirements simultaneously
- Connecting planning systems directly with shop-floor execution and machine data
- Moving from static planning toward continuous, autonomous production optimisation
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
Machine-to-Machine Intelligence & Industrial Agentic Systems
- Enabling machines, software agents and production systems to communicate and coordinate autonomously
- Using AI agents to manage maintenance, quality, scheduling and production workflows
- Connecting traditionally separate systems through machine-readable industrial data
- Creating closed-loop systems where machines detect issues and initiate corrective actions
- Establishing governance to ensure autonomous agents remain secure, explainable and controllable
14:30 - 15:00
Zero-Touch Manufacturing: The Path to Lights-Out Operations
- Increasing automation across material handling, production, inspection and maintenance
- Combining robotics, AI, machine vision and autonomous mobile robots
- Designing production environments capable of operating with minimal human intervention
- Using predictive intelligence to identify and resolve issues before production stops
- Understanding where lights-out manufacturing is commercially viable — and where human expertise remains essential