
Leveraging AI to Optimize Manufacturing Processes and Enhance Decision Making
14 July 2022 | Virtual
This Event Has Now Passed.
The increase in consumer demand, connectivity of smart factory systems, and data volume is driving manufacturers to leverage AI to enhance maintenance, boost quality, increase efficiency and aid human decision making within their smart factories.
While AI can streamline factory operations and logistics to keep up with changing product demand, creating a smart infrastructure that has the foundations and readiness to implement AI and has a workforce that trusts its capabilities presents a challenge.
To overcome this barrier to integration and stay ahead of the curve, manufacturers will be attending the summit to learn how to build a strong analytics architecture and change management mindset.
Learn From Our AI, Data, and Analytics Experts

Anthony Huffman, Director of Data and Integration, Molex

David Ungaro, Associate Director – IT Capability Manager – Manufacturing Analytics, Gilead Sciences

Erik Veedfald Jensen, Lead Release Train Architect, Arla Foods

Tarun Rana, Senior Manager, Digital Transformation, Henkel

Jarrod Anderson, Senior Director, Artificial Intelligence, Archer Daniels Midland

Devesh Upadhyay, Sr. Technical Leader “Core AI-ML & Quantum Computing”, Ford Motor Company

Michael Cavaretta, Senior Manager – Manufacturing Analytics, Ford Motor Company

Heiko Witte, Business Development Consultant Digital, Rolls Royce

Fausto Artico,
Global R&D Tech Head and Director of Innovation and Data Science,
Innovation Hub (R&D Tech),
GSK

Josef Kreigmair, Representative Industrialization Production Systems, MTU Aero Engines

Yudan Lin, Digital AI & Innovation Lead, Takeda
How will this summit benefit your organisation?
- Are you responsible for spearheading your organization’s digital transformation journey within food and beverage? Discover how to enhance product quality, boost plant safety, optimize tracking and traceability, and reduce overall supply chain costs and more.
- Are you a supply chain manager for a leading OEM? Uncover how you can use image analysis to monitor manufacturing systems and examine automotive parts to enhance vehicle quality and avoid unnecessary downtimes.
- If you are a data scientist for a pharmaceutical manufacturer, learn how you can utilize data science algorithms, machine learning, and deep learning to ensure tasks are performed accurately and identify how drug production can be streamlined. This in turn will reduce waste, accelerate production times, and enable AI-driven decision making.
- If you are head of digital manufacturing for an Aerospace and Defense manufacturer, hear how you can scale and ingrain data analytics and AI to gain insights from large quantities of production data and allow for autonomous decision-making.
Manufacturing AI & Analytics- Agenda
Thursday 14 July 2022
14:00 CEST/ 05:00 PT- Networking
14:35 CEST/05:35 PT Opening Remarks from AMG World
14:45 CEST/ 05:45 PT The Importance of Collaborative Intelligence for the Factory of the Future
Yudan Lin, Digital AI & Innovation Lead, Takeda
15:20 CEST/06:20 PT Leveraging AI to Streamline Plant Operations for Improved Efficiency, Maintenance, and Safety
Panelists:
Heiko Witte, Business Development Consultant Digital, Rolls Royce
Tarun Rana, Senior Manager, Digital Transformation, Henkel
Fausto Artico, Global R&D Tech Head and Director of Innovation and Data Science, Innovation Hub, GSK
Erik Veedfald Jensen, Lead Release Train Architect, Arla Foods
Devesh Upadhyay, Sr. Technical Leader, Core AI-ML & Quantum Computing, Ford Motor Company
16:25 CET/07:25 Networking Break
17:00 CET/ 08:00 PT Transitioning from POC to Full Scale AI Deployment in the Smart Factory
David Ungaro, Associate Director – IT Capability Manager – Manufacturing Analytics, Gilead Sciences
17:35 CET/ 08:35 PT The Role of Industrial AI in the Factory of the Future: Creating a Pathway to Digital Transformation
Moderator: Anthony Huffman, Director of Data and Integration, Molex
Panelists:
David Ungaro, Associate Director – IT Capability Manager – Manufacturing Analytics, Gilead Sciences
Michael Cavaretta, Senior Manager – Manufacturing Analytics, Ford Motor Company
Josef Kreigmair, Representative Industrialization Production Systems, MTU Aero Engines
Jarrod Anderson, Senior Director, Artificial Intelligence, Archer Daniels Midland
18:35 CET/ 09:35 PT- Close of the conference
Who Should Attend:
Manufacturing AI & Analytics is designed for VP’s, Directors, Heads and Managers from:
- Data, Data Science, AI, ML, Analytics
- Industry 4.0
- Smart Manufacturing, Advanced Manufacturing, Digital Manufacturing
- Manufacturing Engineering, Manufacturing Operations
- Technology & Innovation
- Manufacturing Analytics
- IoT & Connected Devices
- Emerging Technology
- Robotics and Automation
- Supply Chain
- Digital Strategy
Our sponsors include technology, service & solution providers specializing in:
- Artificial Intelligence (AI) / Machine Learning (ML)/ Deep Learning (DL)
- Robotics
- Advanced Human-Machine Interfaces
- Data & Analytics
- Computer vision/ Augment Reality (AR)
- Cloud Computing
- IoT Hardware, Software, Platforms, Infrastructure
- Cyber Security
Sponsorship Opportunities:
Recent disruption has continued to re-shape the conventional approach to networking, creating an opportunity to continue business within a virtual setting.
Our attendees are actively working through their operational and transformational challenges, but they also require support from dedicated solution providers who can offer guidance, expertise and technology to help solve unique business problems.
It is critical that the vendor community continues to support their customers through open discussions and information exchange; as well as nurture existing relationships and building a pipeline of new and valuable leads.
For more information on how we are uniquely placed to help you shape and deliver your message to your target audience, contact us now!
Simon Wright
Commercial Director
Simon.wright@amg-world.co.uk