1st - 2nd October 2025, Chicago
Agenda
Day 1
08:00 - 08:50
REGISTRATION
08:55 – 09:00
CHAIRPERSON’S OPENING REMARKS
09:00 - 09:30
FINDING METHODS TO EXPLORE INDUSTRY 4.0 TO ENHANCE PRODUCTION
- Energy is valuable and energy management is the key to sustainability
- The hidden potential of industry 4.0 and IOT – Where can Industry 4.0 take US manufacturing?
- Digital transformation is good business sense and means different things to different people
- Achieving a small reduction in consumption is even more important than the big demonstration projects
09:30 - 10:00
DIGITAL TRANSITION TO OPTIMISE DISCRETE MANUFACTURING WITH AN ENHANCED ERP FOR PRODUCTION AND END TO END CONNECTIVITY
- Leverage in-context and enterprise-level insights to enable quick, data-driven decision making
- Transitioning from traditional to agile ways of working
- An agile ERP implementation model will drive time to value and provide the scalability to add-on capabilities as needs evolve
- Businesses of all sizes use ERP systems to manage day-to-day business activities, such as procurement and manufacturing operations
10:00 - 10:30
THE IMPORTANCE OF GROWING A DIGITAL MINDSET IN THE MODERN WORKPLACE
- Putting digital transformation into practice with open technology, process, and culture
- How Digital Workplace Services is supporting the increase in adoption of technologies and new ways of working
- Review the leadership skills everyone needs to lead in this new world
- Critical technology learning and training methods, and the role of technology in career development
- Putting the substance behind the buzzwords into practice in order to achieve tangible business outcomes through innovation and transparency
10:35 - 11:25
COFFEE BREAK
11:30 - 12:00
BEING AGILE IN TIMES OF UNCERTANTY TO UNDERSTAND AND INCORPORATE DATA INTO DAY TO DAY OPERATIONS FOR MAXIMUM EFFICIENCY
- Those who understand the company workflows and data structures and being able to combine technologies can drive innovation and set themselves apart from competition
- Those who can connect the data from different sources and turn the data into insights unleash potential and foster innovation
12:00 - 12:30
LEVERAGING DIGITAL TECHNOLOGY TO DRIVE EMPLOYEE PRODUCTIVITY & ENGAGEMENT
- Defining and measuring employee productivity within your business
- Identifying areas where productivity is lagging or inconsistent
- Different methods to increase productivity
- Tracking productivity against historical performance, e.g recording specific conditions when productivity is above/below average, and being able to consistently replicate these conditions to ensure favourable employee productivity, or predict future productivity using historical data
12:30 - 13:00
BENEFIT FROM AN ALL-AROUND WIN WITH GREEN CONFIGURATION LIFECYCLE MANAGEMENT TECHNOLOGY
- Get the visibility, insight and control you need to ensure sustainability with ERP/MRP software
- Meet customer demand as consumers make “greener” decisions
- Contribute to staying competitive in the global economy by optimizing your own resources
PLANNED INVESTMENT AREAS
- Continuous Improvement / OPEX
- Industry 4.0
- COVID-19
- 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
THE NEW WAVE OF HIGH-VOLUME INTELLIGENT SENSORS FOR DIGITALIZATION IN INDUSTRIAL MANUFACTURING
- The deployment of sensors is transforming every facet of effective manufacturing and they are critical to collect data for the analysis of many components of manufacturing
- Intelligent sensors combined with innovative software solutions are being developed as part of condition monitoring and predictive maintenance. These comprehensive solutions process and analyse the collected sensor data to convert them into information that is used to assess and diagnose the health condition of manufacturing and to take the appropriate steps to prevent potential safety issues and future downtimes
- This presentation will address the fundamental role the latest intelligent sensors play in digitalization of state-of-the-art manufacturing and provide checklists for selecting the right sensors for various industrial applications
14:30 - 15:00
HOW TO ACCELERATE MANUFACTURING THROUGH INNOVATIONS IN ROBOTICS
- Versatile and cost-effective robotic systems that are capable of performing multiple tasks
- Rapid deployment and re-purposing of robots and collaborative robots
- Human-robot interaction
- Scheduling, learning and control
- Dexterous manipulation
- Perception and sensing
- Testing, verification, and validation
- Mechanism design
15:00 - 15:30
ASSESSMENT TO ACTUALIZATION – TURNING MANUFACTURING ANALYTICS FROM DREAMS INTO REALTIY
- What to expect from a digital / analytics maturity assessment, and what is usually missing
- Practical steps to realize business value from your digital / analytics maturity assessment, providing analytics and business leaders strategies to ensure that their Assessment Investment translates to long-term business value
- Pitfalls to avoid and how to recover from them
15:35 - 16:25
COFFEE BREAK
16:30 - 17:00
BUILDING THE FOUNDATIONS TO INTEGRATE SUSTAINABILITY/ESG INTO INDUSTRIAL TRANSFORMATION STRATEGIES FOR MAXIMUM ROI
- Shifting towards resourcing and productivity for sustainability needs
- What is the relationship between ESG and Sustainability?
- What is required of Sustainability teams to support ESG?
- ESG: Challenges and opportunities for the sustainability community
17:00 - 17:30
VISUALISE THE PRODUCTION LINES AND OPTIMISE THE INDUSTRIAL PROCESS WITH IoT, AI, AND MACHINE LEARNING
- Ensure steady profitability and market competitiveness with industrial process optimisation
- Increase production visibility to reveal gaps in the processes and focus on solutions that increase the sustainability of manufacturing
- Visualise your production lines, identify anomalies, and improve sustainability with the help of digital twins
PLANNED INVESTMENT AREAS
- Continuous Improvement / OPEX
- Industry 4.0
- COVID-19
- 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
IMPROVING INDUSTRIAL COMPUTER VISION WITH DEEP LEARNING: BUILLDING SCALABLE, PLUG ‘N’ PLAY SOLUTIONS FOR MANUFACTURERS
- How deep learning is allowing for new approaches to vision systems in manufacturing
- Approaches to on-device computer vision
- products for manufacturing
- Data collection and availability
18:00 - 19:30
DRINKS RECEPTION
Day 2
08:55 – 09:00
CHAIRPERSON’S OPENING REMARKS
09:00 – 09:30
SCALING EXISTING SMART/IoT TECH TO ADDRESS YIELD LOSSES IN THE RACE TO NET ZERO
- Implementing data-driven strategies
- Harness the potential of mobile connectivity and smart technology to streamline production lines, deliver in-depth data gathering and analytics on power usage to achieve net zero by 2050
- Optimising smart manufacturing processes and materials for more efficient factory production monitoring and diagnostics to constantly evaluate GreenHouse Gas emissions across the entire manufacturing cycle
09:30 – 10:00
AGILITY FOR COMPETIVENESS: TRANSFORMING MANUFACTURING OPERATIONS FOR BUSINESS OPTIMIZATION
- Improve cross-functional supply-chain visibility
- Create production plans that are feasible to execute and based on actual plant conditions
- Leverage operational data with predictive and prescriptive AI for continuous productivity, asset reliability, and eco-sustainability optimization
- Provide the visibility, transparency, and traceability consumers and regulators demand
10:00 - 10:30
REDESIGNING AN EXISTING SUPPLY CHAIN TO MEET ENVIRONMENTAL STANDARDS AND ENABLE CIRCULAR ECONOMY
- Plan and establish viable sustainable production practices without disrupting the operations
- Make data-driven decisions to transform existing supply networks and instill ecological responsibility
- Map the existing supply network and optimise the workflow using sustainability tracking metrics
- Making Circular Assessment to analyse the disparities in a supply chain, considering the entire business operations
- Elevate your process into environmentally-responsible workflows and reduce your carbon footprint
10:35 - 11:25
COFFEE BREAK
11:30 – 12:00
DIGITAL PATHS TO BUILDING VALUE ACROSS DIFFERENT INDUSTRIES
- Finding the right Asset Performance Management solutions to reduce unplanned downtime, ensure product quality and yields, and measuring financial impact
- Condition-based monitoring and product inspections can be augmented and improved, not replaced, with new technologies
- Best practices and how APM solutions can be adopted in different points of digitalization strategies, across different industries
12:00 – 12:30
EDGE COMPUTING: BRINGING THE CAPABILITIES OF THE CLOUD CLOSER TO SMART FACTORIES
- Why is edge computing necessary in many advanced manufacturing settings?
- Edge computing use cases from diverse areas of smart manufacturing
- Edge computing implementation trade-offs, including heterogeneous compute (CPUs, GPUs, TPUs, FPGAs, etc.), hieratical storage architectures (in-memory, flash, rotating, network attached), networking alternatives (copper vs. fibre wired and licensed vs. unlicensed for wireless), and software / protocol architectures to support trustworthiness (security, privacy, safety, reliability, resilience)
12:30 – 13:00
MAKING YOUR INDUSTRIAL MANUFACTURING STRATEGY MORE SUSTAINBLE
- Measure your facilities’ current carbon profile to build a baseline of your environmental footprint and inform your strategy to enable you to set clear targets and priorities
- Determine which sustainability metrics the company is under pressure to deliver on and prioritise investments, as well as build any new capabilities needed
- Top barriers to achieving sustainable manufacturing — and how to overcome them
PLANNED INVESTMENT AREAS
- Continuous Improvement / OPEX
- Industry 4.0
- COVID-19
- 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
IMPLEMENTING AUGMENTED INTELLIGENCE & PREDICTIVE MAINTENANCE FOR INDUSTRIAL APPLICATIONS
- Using Data Science to help optimize processes and open new business areas and services
- Developing analytical prototypes to reduce downtimes, ensure the high level of machine manufacturing and develop new business models in the process
- Using Deep Learning to develop self-optimizing algorithms and realizing an intelligent predictive maintenance system
- Detect errors and anomalies in advance and thus prevent unforeseeable machine failures, as well as to optimize processes globally and increase machine availability
14:30 - 15:00
LEVERAGING DATA AND DIGITAL TECHNOLOGIES TO CREATE AN AGILE AND SUSTAINABLE INNOVATION STRUCTURE FOR MANUFACTURERS
- Why it’s more important than ever to make manufacturing processes more efficient – especially with a strained global supply chain
- How digital technologies can reduce production lead times and costs, as well as improve workflows
- Enabling the simulation of manufacturing processes to encourage less waste and reduce its environmental impact and use cases presented