26th - 27th October 2026

Agenda

Day 1

08:00 - 08:50

REGISTRATION & BREAKFAST

08:55 – 09:00

CHAIRPERSON’S OPENING REMARKS

09:00 - 09:30

Enhancing Plant Performance through an Interactive Connected Worker Experience

  • How cutting-edge solutions can transform operations
  • Discovering practical applications of the platform in manufacturing settings
  • Streamlining processes, enhancing productivity, and driving operational excellence
  • Deploying digital solutions and fostering a culture of innovation
  • Enhancing overall plant performance with connected worker platforms
  • Implementing strategies for ongoing innovation and improvement

09:30 - 10:00

Moving Beyond Pilots to Scale Effectively: Taking a promising prototype and embedding it into a production-ready ecosystem

  • Prototype Scale: Turning pilots into enterprise-wide impact.
  • AI in Manufacturing: From buzzword to real-world efficiency and resilience.
  • Security & Compliance: Trust as the foundation of connected factories

10:00 - 10:30

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

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

The Expansion of AI and Robotics in Modern Manufacturing

  • Exploring the integration of robotics, AI, and automation to enhance efficiency and quality across all business areas
  • Strategies for upskilling the workforce to effectively utilize advanced technologies
  • Addressing challenges in implementing smart manufacturing solutions within traditional operations
  • The role of data analytics in optimizing robotic and automated systems for continuous improvement
  • Highlighting successful transformations through advanced robotics and automations

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

  • Continuous Improvement / OPEX
  • Industry 4.0
  • Lean Methodologies
  • Additive Manufacturing / Factory-as-a-Service
  • Connected Factory
  • Net Zero
  • Supply Chain Manufacturing Excellence
  • Cybersecurity
  • Robotic Automation
  • Digital/Software Adoption
  • MES / Shop-floor Digitization
  • Machine Learning
  • Digital Twin
  • M2M Communication
  • Remote Working
  • Plant / Workforce Safety
  • Wireless Connectivity
  • Cloud, Edge & IoT Data Management
  • Asset Performance Management (APM 4.0)
  • Artificial Intelligence
  • Digital Technologies
  • Predictive Analytics / Condition Monitoring
  • Green Manufacturing Practices & Initiatives
  • Asset Management
  • Data Analytics / Big Data / Data Management
  • Cloud Computing & Sensors|Cloud Computing & Sensors
  • Sustainability & ESG Software|Sustainability & ESG Software
  • Project & Resource Management|Project & Resource Management

13:05 - 13:55

LUNCH

14:00 - 14:30

Driving Efficiency with Robotics Automation & Advanced Camera Systems

  • Integrating advanced robotics and machine vision technologies to create powerful, intelligent automation systems
  • Leveraging machine vision, robotic programming, mechanical design, and automation consulting to boost productivity
  • Enhancing quality control and automating repetitive tasks to streamline production processes Exploring how robotics and advanced camera systems drive innovation in the manufacturing industry

14:30 - 15:00

From Digital Twin to True Value. Successful Implementations of Digital Twins on the Manufacturing Floor

  • Digital twins promise transformation, but what actually drives success in real-world operations?
  • Marcel will share insights from 30 industry projects to reveal what makes digital twins succeed, and where they fall short.
  • Learn a practical, realistic pathway to building digital twins that deliver measurable value: start small, design the right architecture, and apply technology where it truly pays off.

15:00 - 15:30

Accelerating AI Innovation in Manufacturing

  • Utilising AI to chat with our data, enabling employees to ask questions, explore trends and generate canvases using natural language.
  • User configurations of prebuilt and custom agents to suit operational and quality needs
  • Reducing downtime, extending equipment life and improving overall operational efficiency by adopting AI-driven predictive maintenance
  • By applying AI to deviations management, the technology has reduced closure time for minor deviations drastically
  • Digital twins and soft sensors, data-driven models are providing insights beyond direct measurement, enabling adaptive process control to improve yields and batch-on-batch consistency
  • AI-powered yield analytics platform enabling manufacturing teams to spend less time on data analysis and more time acting on insights, resulting in consistently higher yields and optimized use of raw materials
  • Overcoming system failures, shutdowns because of design issues, system compatibility problems or cybersecurity incident

15:35 - 16:25

COFFEE BREAK

16:30 - 17:00

Optimizing Operations with ERP Solutions

  • The role of industry-specific ERP solutions in optimizing production and reducing lead times
  • How automation improves quality and streamlines workflows in manufacturing operations
  • Achieving real-time visibility for enhanced decision-making and inventory management
  • Integrating advanced technologies to modernize manufacturing processes

17:00 - 17:30

Leveraging AI for Advanced Data Protection and Cybersecurity

  • Implementing AI for growth in key industries like healthcare and finance
  • Optimizing complex infrastructure to support scalable AI solutions
  • Leading global AI teams to deliver impactful, secure AI and cloud solutions
  • Strategic partnerships to expand AI adoption across the enterprise
  • Balancing AI investment with ROI through effective AI governance

PLANNED INVESTMENT AREAS

  • Continuous Improvement / OPEX
  • Industry 4.0
  • Lean Methodologies
  • Additive Manufacturing / Factory-as-a-Service
  • Connected Factory
  • Net Zero
  • Supply Chain Manufacturing Excellence
  • Cybersecurity
  • Robotic Automation
  • Digital/Software Adoption
  • MES / Shop-floor Digitization
  • Machine Learning
  • Digital Twin
  • M2M Communication
  • Remote Working
  • Plant / Workforce Safety
  • Wireless Connectivity
  • Cloud, Edge & IoT Data Management
  • Asset Performance Management (APM 4.0)
  • Artificial Intelligence
  • Digital Technologies
  • Predictive Analytics / Condition Monitoring
  • Green Manufacturing Practices & Initiatives
  • Asset Management
  • Data Analytics / Big Data / Data Management
  • Cloud Computing & Sensors|Cloud Computing & Sensors
  • Sustainability & ESG Software|Sustainability & ESG Software
  • Project & Resource Management|Project & Resource Management

17:30 - 18:00

The best of both worlds - traditional AND Gen AI for engineering & production

  • What are the fundamental differences between Traditional and Generative AI?
  • Is Traditional AI now obsolete?
  • What use cases to approach with Traditional AI? Which ones to tackle with Generative AI?
  • What initial foundation model based PoCs were done and did they show actual value?

18:00 - 19:00

DRINKS RECEPTION

Day 2

08:55 – 09:00

CHAIRPERSON’S OPENING REMARKS

09:00 – 09:30

Lighthouse by Design: What the Global Lighthouse Network Taught Us About Building from Scratch

  • How the CRISP framework (Connected, Resilient, Intelligent, Sustainable, People-Centric) guides the design of Siemens’ next-generation Electronics Works Singapore factory
  • Translating Global Lighthouse Network principles into a live greenfield project — from concept to commissioning
  • Digital twins, modular assembly and AI-driven cross-factory knowledge federation as enablers of future-ready manufacturing
  • Building resilience through location strategy, flexible shopfloor architecture and cloud-native IT/OT convergence
  • Embedding sustainability from day one: LEED Platinum ambition, net-zero design and resource efficiency
  • People at the centre: DEI-certified building design, microlearning on the shopfloor and empowering a digitally native workforce

09:30 – 10:00

Transformation Excellence and Value Creation with a Human Centric Approach

  • Understand Operational Excellence 5.0 strategy, roadmap, assessment frames, systems, to create tangible impact
  • Unpack the 25 ever-greens of successful change and how to leverage them across the business
  • Boost your change facilitation with bottom-up enablement, capability building, and innovation management
  • Excellence Roadmap towards world-class manufacturing in a dynamic biotech environment

10:00 - 10:30

Leveraging Artificial Intelligence in Enterprise Asset Management for Enhanced Productivity

  • Exploring the integration of AI-driven mobile apps to automate and enrich data for plant maintenance and frontline work
  • Discovering how AI solutions can significantly boost EAM productivity and information accuracy
  • Examining the impact of excessive work order times on productivity and how AI-driven mobile solutions can drastically reduce time spent on capturing work order information
  • Understanding the importance of mobile asset management in turning frontline workers into knowledge workers

10:35 - 11:25

COFFEE BREAK

11:30 – 12:00

Accelerating AI Commercialization: From End-to-End Development to Scalable Impact

  • Delving into AI and emerging tech from E2E development of product lifecycle
  • Breaking down the business need of technical AI and how to deploy use cases
  • Best practices and strategies to extract value of AI use cases for commercialization
  • How to rapid scale AI and accelerate time to market

12:00 – 12:30

Factory of the Future 2026

  • Definition of Factory of Future (FOF)
  • Criteria and Requirements for FOF
  • Evaluation of current state to future
  • Approach and strategy to be FOF
  • Knowledge and upskilling

12:30 – 13:00

What is the role of MES in Lights out Manufacturing

  • There is no need for a manufacturing execution system when all processes are performed automatically and controlled by DCS
  • The current understandings of Lights Out manufacturing and AI are unrealistic and based on managerial hopes and dreams
  • MES changes role as processes are digitalised – what is the future aspirations for MES

PLANNED INVESTMENT AREAS

  • Continuous Improvement / OPEX
  • Industry 4.0
  • Lean Methodologies
  • Additive Manufacturing / Factory-as-a-Service
  • Connected Factory
  • Net Zero
  • Supply Chain Manufacturing Excellence
  • Cybersecurity
  • Robotic Automation
  • Digital/Software Adoption
  • MES / Shop-floor Digitization
  • Machine Learning
  • Digital Twin
  • M2M Communication
  • Remote Working
  • Plant / Workforce Safety
  • Wireless Connectivity
  • Cloud, Edge & IoT Data Management
  • Asset Performance Management (APM 4.0)
  • Artificial Intelligence
  • Digital Technologies
  • Predictive Analytics / Condition Monitoring
  • Green Manufacturing Practices & Initiatives
  • Asset Management
  • Data Analytics / Big Data / Data Management
  • Cloud Computing & Sensors|Cloud Computing & Sensors
  • Sustainability & ESG Software|Sustainability & ESG Software
  • Project & Resource Management|Project & Resource Management

13:00 - 13:55

LUNCH

14:00 – 14:30

360° Connectivity – The Key to a Smart Factory

In the era of Pharma 4.0, empowering operators through smart factory technologies and AI is crucial for overcoming industry challenges. This presentation explores the human factor in digital transformation. It demonstrates how providing the right information to the right people at the right time enhances collaboration, decision-making, and ultimately, product quality and patient safety. Discover how a holistic approach to connectivity can drive the future of pharmaceutical manufacturing. In this session, you will learn how to:

  • Empower operators by integrating smart factory technologies and AI providing them with real-time data and insights.
  • Ensure that the right information reaches the right people at the right time.
  • Build up a comprehensive approach to connectivity in pharmaceutical manufacturing.

14:30 – 15:00

Maximizing Plant Performance: Driving Efficiency, Innovation, and Sustainability

  • Implementing advanced workflows to optimize plant performance and streamline operations
  • Scaling automation to boost efficiency while maintaining operational flexibility
  • Using real-time data to monitor and drive continuous facility performance improvements
  • Designing facilities for high efficiency and sustainability to meet environmental goals
  • Leveraging digital tools for predictive maintenance and reducing downtime

15:05– 15:10

CHAIRPERSON’S CLOSE