0725

Registration Open

Morning Breakfasts In Networking Exhibition Area

Continental Breakfast, Fresh Scrambled Eggs, Hickory Smoked Bacon, Country Style Sausage, Breakfast Potatoes
0800

Opening Keynote: The Urgent Need To Accelerate The Adoption Of Smart Manufacturing In The US

John Dyck, CEO, CESMII
The automotive sector is in urgent need of accelerating the adoption of Smart Manufacturing. Smart Manufacturing, leveraging IoT, AI, and big data analytics, optimizes production, increases efficiency, reduces costs, integrates supply chains, improves quality, customization, safety, and sustainability. To remain competitive, enhance productivity, and meet consumer expectations, the automotive industry must embrace Smart Manufacturing now. It holds the key to unlocking the industry’s full digital potential.
0820

The State Of Smart Manufacturing: Practical Steps To A Real World Digital Transformation

Ben Stewart, VP, Strategy and Business Development, PLEX
  • Insights from the eighth version of ‘The State of Smart Manufacturing’ report
  • How to be ready for the smart manufacturing future – life favors the prepared
  • Understanding the opportunities that smart manufacturing offers and selecting the best option to meet requirements
  • Effectively implementing smart manufacturing solutions to deliver successful outcomes
  • Evaluating the benefits of smart manufacturing technologies and developing a culture of continuous improvement
0840

Unlocking Revenue Growth And Cost Reduction Potential With Industry 4.0

Craig Melrose, EVP Digital Transformation, PTC
  • Enhancing Operational Efficiency with Digital Twins
  • Leveraging IoT and Connectivity for Smart Manufacturing
  • Harnessing Big Data Analytics for Insights and Decision-Making
  • Improving Supply Chain Visibility and Collaboration:
  • Enabling Agile and Customized Production with Additive Manufacturing
0910

The Role Of Technology In The Transition From ICE To EV

Joe Gerstl, Sr. Director, Product Management, GE Digital
  • Learn how global sustainability initiatives and shifts in consumer demand are driving the need for automotive manufacturers to transition from existing ICE models to EVs
  • Understand that although EV manufacturing is less complex than ICE manufacturing, the scale, immensity, and speed of this transition is driving complexity across automotive manufacturing
  • Discover how the move to EV manufacturing is impacting existing digital infrastructure, interoperability with smart factory systems, manufacturing operations, and workforce capabilities
  • To successfully transition, automotive manufacturers must remain agile and determine how to better utilize smart manufacturing technology and refine their industry 4.0 strategy to assist them with this evolution
  • Discuss the impact of EV manufacturing and the outline the necessary steps needed for organizations to scale
0930

The Emerging Role Of Artificial Intelligence To Control Automotive 4.0 Inspections

Michael Koper, Digital Vision Manager, Eines Vision Systems
  • Why should you use a 3D simulation system to optimize quality systems?
  • What is the significance of big data, rule-based algorithms, advanced AI, and Deep Learning in learning and classifying defects and object detection
  • Understanding why the in-line tunnel concept saves labor costs and time
  • How to optimize operators’ performance with AI and augmented reality
  • Achieving immediate feedback in a human machine interface with digitalization and big data
  • How to analyze and use data to enable smart manufacturing in auto-repair systems
  • Overcoming challenges in identifying defect root causes in the press shop, body shop, paint shop, and final assembly
0950

Utilizing Vision Systems To Increase Model Flexibility

Mark Anderson, Head of Robotics and Automation, Comau
  • How cameras can be used instead of sensors and photocells to provide seamless robot alignment
  • Why utilizing vision systems is the optimum pathway to deliver increased process optimization and control
  • Understanding the advantages of reducing manual operations by deploying advanced automation products
  • Deployment of proprietary laser welding, vision systems, and the RHEvo Roller Hemming solution
  • Increased model flexibility, improved equipment efficiency, and enhanced quality inspection capabilities
1010

Reaping The Benefits Of Digitalization To Close The IT/OT Chasm

Rajeev Puri, Vice President, Distinguished Engineer & CTO US Manufacturing, Kyndryl
Manbir Singh, Digital Transformation Leader, Kyndryl
  • Developing a strategy and roadmap for Industry 4.0 journey using Industry blueprints
  • How to provision software-defined and 5G-enabled edge services to build a core-to-edge solution with end-user device integration, cloud or edge-based application delivery, high-security options, automation, and innovative network services.
  • Why companies are embracing innovative technologies in all areas of the business, such as simulation testing of vehicles, operational efficiencies, predictive maintenance, autonomous vehicles or enhancing in-car experiences.
  • The need to better connect data across mission-critical operations — including manufacturing plants, research and development, and sales operations.
1030

Morning Networking Break

Sponsored By
Kyndryl
Exhibition Hall > Tea, Coffee, Soft Drinks
1100

Utilizing Digital Twins To Improve Time To Market

Mike Bradford, Director Strategic Business Development, Dassault Systemes
  • Why is the digital twin/virtual twin more important than ever in the current market conditions?
  • Where does the digital/virtual twin apply in automotive, and what advantages does it deliver?
  • How the digital/virtual twin saves time and costs on new product introductions, line commissioning, manufacturing, and operations execution
  • The pathway to optimizing the digital/virtual twin – and its value – through merging IT and OT data from information technology systems and operations
  • Creating a digital transformation solution that improves operations and provides data so executives can make better, more informed decisions
1120

How AI-Enabled Robotic Manufacturing Will Transform Electric Vehicle Industry

Larry Sweet, Director of Engineering, ARM Institute
  • How to achieve optimized robot motions for surface finishing for 3D scanned surfaces, accounting for physics properties of the process and its relation to environmental and robotic variables
  • Learn how to overcome the challenges of manipulating and assembling flexible materials, including textiles and composites, into creative interior designs
  • Why should manufacturers robotically inspect parts and assemblies with machine learning to identify defects?
  • The importance of automating purification of battery raw materials for new vehicles, then sorting and recovering recycled high-value substances at the end of life
  • Enable production flexibility for vehicle customization through agile and re-configurable designs, especially for multi-robot assembly lines
1140

Quality 4.0: The Emerging Role Of AI And Digital Technologies Are Transforming Quality Management

Chris Kuntz, Vice President of Marketing, Augmentir
  • Learn how Quality 4.0 is transforming operations for major auto manufacturers
  • Hear how one major auto manufacturer connected people, processes, and technologies to connect product lifecycle management and quality management with the workers on the shop floor
  • Hear best practices on connecting shop floor workers into your quality value chain – essentially connecting them as vital sensors in the quality management process
  • Learn the advantages of using AI and connected worker technologies to capture and analyze data on quality inputs throughout the manufacturing process
  • Discover how Quality 4.0 is being used as a step-change to transform traditional continuous improvements programs like Lean, Six Sigma, and TQM
1200

Making Use Of AI For Better Quality Management

Rajeev Kalamdani, Manager IIOT Analytics, Ford
  • How does Industry 4.0 help in the overall quality strategy?
  • Why is anomaly detection important, and why do we care about anomalies?
  • How is Deep Learning used to implement anomaly detection?
  • What other approaches are available when it comes to quality management?
  • How has Ford benefitted from the deployment of anomaly detection models?
1220

A Strategic Approach To Achieving Success At Scale From A Proof of Concept

Ed Lesnau, Director, Industry Digital Strategy – Automotive Americas, Microsoft
  • The importance of building a robust and secure data estate
  • Establishing hybrid-cloud architecture and enabling capabilities
  • How to prioritize use cases that balance business value and time-to-value
  • Ensuring programs have the ability to scale roll-out leveraging repeatable assets and approaches
1240

Critical Value Chain Capabilities In The Transition To EVs

Arijeet Majumdar, Leader Operations & Performance Technologies, Global Accounts
Sree Hameed, Senior Manager, Industry Marketing – Manufacturing Sector, AVEVA
  • Managing the rapid innovation lifecycles and variability of components (battery, motor, inverter, braking etc.) as the sector transitions from ICE to EVs
  • Utilizing a digital passport to track critical components throughout their lifecycle stages (as-sourced, as-manufactured, as-used, as-serviced)
  • Merging product, process, and asset views into a digital twin or data model that is essential for managing variability and traceability (as well as other objectives of the network stakeholders)
  • Learning from proven use case examples and digital twins from across industry segments that apply to different scenarios across the EV value network.
1300-1400

Networking Lunch Break

Soup, Salad, Mains, Sides, Dessert
Tea, Coffee, Juices, Soft Drinks
1400

Automotive OEM Panel: A Sustainable And Future-Proof Strategy For US Automotive Smart Manufacturing

Moderator: John Dyck, CEO, CESMII
Panellists:
Michael Bastian – Digital Manufacturing Engineering Leader – Ford
Jeffery Abell – Director and Chief Scientist Global Manufacturing – GM
Kelvin Montgomery – Manufacturing Digital Transformation Architect – Toyota
John D McKenzie, Digital Manufacturing Leader, Stellantis
Jordan Coffman, IoT Director of Sales and Strategic Initiatives, PTC
At the top of the list of strategic imperatives for automotive manufacturing is the urgent need to be and stay competitive. That requires, among other things, engaged leadership, a skilled and empowered workforce, and strategic investment in digitization infrastructure to accelerate the ability to innovate and drive productivity. This is the essence of smart manufacturing, representing a roadmap for how people, processes, and technology all play enabling roles on this journey. This panel will work through how holistic investments in these areas empower their strategic initiatives to drive competitiveness.
1440

3D Printing: Accelerating Automotive Manufacturing Efficiency At The Pace Of Industry 4.0

Fadi Abro, Director Automotive Business Segment, Stratasys
  • Learn how additive manufacturing creates production support tooling at a massively reduced cost compared to current manufacturing methods, allowing near overnight access to genuine process improvements
  • Understand the benefits that 3D printed tools, jigs & fixtures deliver to increase efficiency, speed up production and reduce waste immediately
  • Allowing the R&D process to be aligned with market demand – Whether for vehicle development, production support or low volume production-use parts, research & development cycle time is reduced to hours or days instead of weeks or months
  • Pushing past the old-school internal or outsourced metal fabrication shop habit, printed prototypes unleash an agile development process. Growing materials flexibility also ensures the right in-use performance
  • Enhancing the human/machine interface with easily customizable tools that enhance ergonomics and operator safety, teams safe and quality consistent
1500

Driving The Future of Automotive Industry Excellence

Chad Radder, Director Manufacturing Solutions, Tata Technologies
  • What does the future of Smart Automotive Manufacturing look like with AI
  • Implementing advanced analytics, machine learning, and artificial intelligence to optimize production processes and quality control
  • Connected Factory: Digitizing the Shop Floor for Operational Excellence
    Virtual and augmented reality applications for design validation, production planning, and layout optimization.
  • Real-time production tracking, monitoring, and adjustment for just-in-time manufacturing
  • Digital twin: accelerating product development and innovation
  • Intelligent supply chain management
1520

The Power Of Industrial Devops: Driving Efficiency And Performance In Automotive Manufacturing

Ben O’Rourke, Chief Revenue Officer, Copia Automation
  • What is Industrial DevOps? Learn how modern source control, quality control and testing, CI/CD, and monitoring is transforming industrial automation
  • Discover how to standardize and streamline the fragmented landscape of proprietary file types, bespoke protocols, physical file sharing, and other sources of friction
  • Learn how these strategies help overcome economic challenges like labor shortages, increased demand, maintenance and downtime, and cybersecurity risks
  • Discuss how Industrial DevOps encourages IT/OT convergence for greater operational efficiency and ownership across the organization
1540

Why The Digital Thread Is Crucial To Digital Transformation

Aleksandar Boskovic, Managing Director Automotive Business, Kalypso
  • Understanding that the foundation of digital transformation is a connected enterprise that unites and integrates information technology (IT) and operational technology (OT)
  • Maximizing the benefits from the digital thread of information that spans the entire value chain
  • Recognizing the importance of partnering with best-in-breed providers on a unified, open architecture for the automotive industry
  • How to complete the work on closed-loop connectivity architecture among software solutions, starting from customer requirements
  • Deploying the connected value chain software offering and tying in the software solutions with their respective physical twins to provide both virtual and real client experience
1600

How AI Empowers Automotive Smart Manufacturing 4.0

Steven Lund, US Head of Sales, MakinaRocks
  • Understand the fundamental concepts of AI and its potential applications in automotive manufacturing
  • Explore the value proposition of AI for driving efficiency, quality, and agility in manufacturing processes
  • Discover how AI-powered predictive maintenance can revolutionize the automotive manufacturing landscape
  • Learn how machine learning algorithms and data analytics enable proactive identification of equipment failures, reducing downtime, and optimizing maintenance schedules
  • Explore compelling real-world use cases and success stories that exemplify the application of AI in automotive manufacturing processes
  • Highlight the tangible benefits, lessons learned, and potential roadmaps for organizations aiming to accelerate their transition to AI
1620

Best Practices For Building A Scalable, Resilient Data Architecture

Jeffrey Schroeder, Product Manager, HighByte
  • Introduction to Industrial DataOps: The people, processes, and technologies required to leverage industrial data for Smart Manufacturing
  • Key problems and uses cases addressed by Industrial DataOps for automotive manufacturers
  • How to prepare OT source data for consuming IT applications by merging machine, transaction, and time series data into a single contextualized payload
  • How to build a data architecture that can scale across all your brownfield sites with sample reference architectures, best practices, and tips for getting started
1640

Afternoon Networking Break

Tea, Coffee, Soft Drinks, Donuts, Snacks
1710

Why Machine Health Monitoring Is Critical To Improving Uptime

Dr Jeremy Frank, co-founder and CEO, KCF Technologies
  • Understanding that predictive maintenance is not enough. Only a comprehensive solution can address the complex operational and machine health problems plaguing industry.
  • Catching failures is only the beginning. The true value comes from addressing blind spots in your operations – not catching failures.
  • How a combination of the right data, right analysis, and right action can lead to meaningful insights to make informed decisions.
1730

Harnessing The Power Of IIoT To Eliminate Unexpected Downtime

Joe Gazzarato, General Manager, IoT and Product Information, FANUC America
  • Utilizing data to helps manufacturers run continuous production by preventing unexpected downtime
  • The advantages of machine monitoring and data collection software that connects shop floor equipment, including machine tools, robots, and peripheral devices
  • Utilizing software to predict possible failure of the drive systems for servo and spindle motors
  • The role of SQL databases and OPC-UA technology to collect data for monitoring and analysis solution for both current and legacy generation CNC users
1750

Utilising Cloud Architecture To Facilitate The Move To A Smart Manufacturing Future

Pugal Janakiraman, Industry Field CTO-
Manufacturing, Snowflake
  • What is the next generation cloud architecture capable of?
  • How does adopting a cloud architecture improve sustainability in manufacturing operations?
  • The advantages of bringing transactional and semi-structured data into one high-speed query engine
  • The role a centralized cloud architecture play is ensuring enterprise apps are more than saving money
  • Get innovation to market faster by standardizing and structuring the data and processes within a cloud based product lifecycle management (PLM) environment
1810

The Importance Of Quality Management Excellence In Protecting The Bottom Line

David Isaacson, VP Product Marketing, ETQ, part of Hexagon
  • Why traditional quality processes are not delivering the speed and scalability that is needed to support industry transformation, whether in electrification or supply chain reshoring
  • The future of quality management lies in deploying strategies for agility in quality management, hinging on emerging digital technologies
  • Learn how automotive manufacturers are embedding advanced quality throughout their operations in response to electrification and reshaping supply chains
1830

Smart Manufacturing 4.0: A Journey With SAP To Shape Tomorrow’s Industry Today

Yuvraj Thombre, Co-Founder & Chief Process Officer, SAVIC
  • How to link all operational processes and enable predictive maintenance of equipment
  • Optimizing production processes with SAP S/4HANA Manufacturing Solutions
  • Leveraging AI, ML and Data Analytics in Smart Manufacturing
  • Benefits of Integrating SAP Solutions in Industry 4.0 Strategies
  • Future Trends and Outlook for Smart Manufacturing with SAP
  • Real world Case Studies with Insights into the challenges faced, implementation strategies, and measurable outcomes
1850

Recognizing The Key Challenges In Bringing Smart-Factory Cybersecurity Up To Speed And The Steps Required To Mitigate Attacks

Ramsey Hajj, Principal – Cyber Risk Services, Deloitte
  • Overcoming the lack of collaboration between smart factory leaders and the chief security officer
  • Coping with an inadequate proportion of the annual budget channeled to cybersecurity
  • Why performing an initial cybersecurity assessment of the whole organization is important to build awareness
  • The importance of identifying risk ownership for cyberattacks in smart factories
  • How to establish a framework that monitors and facilitates smart-factory cybersecurity and embeds cybersecurity practices in the smart-factory environment
1910

Benefits Of Using MQTT Technology For Tracking And Analyzing Unplanned Downtime In Automotive Manufacturing

Ravi Subramanyan, Director of Industry Solutions Manufacturing, HIVEMQ
  • Understand how digital technologies like Industry 4.0, and Industrial IoT(IIoT) help predict machine failures and prevent unplanned downtime by collecting and consolidating all the information relevant to their machine data and applying predictive maintenance analytics which helps predict unplanned downtimes
  • Overcome the challenges in collecting and consolidating machine data with other information including disparate factory systems, legacy infrastructure, complex data architectures and unreliable network connectivity, limited bandwidth, and limited battery power
  • Learn how MQTT can overcome data challenges due to its publish subscribe technology and event driven architecture
  • Discover how Sparkplug can provide the necessary data context and frameworks to enable predictive analytics on equipment data to help predict failures before it happens and reduce downtime
1930

Chairs Closing Remarks

1950

All Attendee Evening Drink Reception

2030

VIP Private Dinner