Wednesday, August 26
Tracks:
Factories of the Future
Cyber Security
Predictive Maintenance & Quality Control
Wednesday, August 26
Factories of the Future Track
9:00 am CST
The Holistic Effort of Academia and Industry in Driving AI Technology within the Manufacturing Sector
Konrad Konarski, Chairman and Trustee • AI Innovation Consortium
The AI Innovation Consortium is focused on evolving AI technology across different industrial sectors including manufacturing. Hear a holistic effort of academia and industry in driving AI technology within the manufacturing sector...Learn More
9:40 am CST
Artificial Intelligence in Manufacturing: From Roadblocks and Pitfalls to
Strategy and Roadmap
Jesus Ruvalcaba, Manufacturing & Business Intelligence Developer • American Woodmark Corp.
Over the past several years, the race to adopt Artificial Intelligence (AI) technologies has increased tremendously while the success rate remains low. Some organizations have yet to implement AI for the first time...Learn More
10:20 am CST
Future of AI in Additive Manufacturing
Leila Ladani, Professor and Director • Arizona State University, Ira A. Fulton Schools of Engineering
Additive Manufacturing (AM) is a disruptive technology that can be effectively used in critical situation, such as the recent COVID 19 pandemic. Manufacturing automation and smart manufacturing was a leap that helped with shortening many processes and reducing...Learn More
Break in Sessions • Step into a 1x1 Meeting • Visit the Virtual Exhibit Hall
Cyber Security Track
11:15 am CST
Cyber AI: An Immune System for OT & IT
Jeff Cornelius, EVP, Cyber Physical Security Solutions • Darktrace
Between cloud, IoT, 5G, and global supply chains, the modern enterprise is increasingly complex and increasingly vulnerable. Manufacturers in particular have become the target of choice, in part due to the rapid adoption of IIoT devices...Learn More
Break in Sessions • Step into a 1x1 Meeting • Visit the Virtual Exhibit Hall
Predictive Maintenance & Quality Control Track
1:30 pm CST
Improving the Quality Control Process
Ying Fei, Product Manager • Google
Visual quality control is an important manufacturing work process to ensure product quality. Currently many manufacturing companies still take a manual approach to performing these tasks which makes the work process inefficient...Learn More
2:10 pm CST
Artificial Intelligence in Manufacturing: Case Studies on Predictive Maintenance and Predictive Quality
Mo Abuali, Managing Partner • IoTco
Isaac Bennett, CIO and Digital Transformation Director • Detroit Manufacturing Systems (DMS)
A reduction in unplanned downtime or a few percentages of scrap reduction can yield millions of dollars in savings for manufacturers. This compelling value proposition has resulted in significant investment and interest in using predictive maintenance...Learn More
2:50 pm CST
Predictive Maintenance with Measurable ROI and Minimal Risk
Tom Craven, IIoT Consultant • New Directions Automation, LLC
Implementing Predictive Maintenance for industrial equipment is can be expensive, time consuming, and technically challenging. But it does not need to be. This session will focus on leveraging the IIoT...Learn More
Thursday, August 27
Strategies & Solutions Track
9:00 am CST
Manufacturing the Future: How to Add Edge to the Build
Todd Gurela, Senior Director, Manufacturing IoT • Cisco
Some of the biggest challenges facing architects and administrators deploying IoT is the sheer scale and complexity of managing the tens of billions of devices expected to come online in the next few years and doing so in a secure manner...Learn More
9:40 am CST
Evolving IIoT Implementations Through Practical AI Solutions
David Austin, Senior Principal Engineer • Intel Corporation
Industrial AI-based solutions often struggle to keep up with the latest technological innovations, as AI technology and understanding continues to advance at a rapid pace, while typical product development and validation cycles trail behind...Learn More
10:20 am CST
Leveraging AR to Bridge the Industrial Training Gap
Dr. Luke Durcan, Director EcoStruxture • Schneider Electric
As our industrial workforce ages, older employees are retiring and taking their wealth of experience with them. Companies are forced to replacing these seasoned resources and are recognizing the resulting knowledge gap...Learn More
Break in Sessions • Step into a 1x1 Meeting • Visit the Virtual Exhibit Hall
Machine Learning Track
11:15 am CST
Machine Learning Approaches to Set Up an AI-Based Robotic Manufacturing Control System
Arnie Kravitz, Chief Technology Officer • Advanced Robotics for Manufacturing (ARM)
Advanced Robotics for Manufacturing (ARM) is the nation’s leading collaborative in robotics technology and workforce innovation. Structured as a public-private partnership, ARM works with over 230 organizations nationwide...Learn More
11:55 am CST
Machine Learning for Materials Discovery
Alex van Grootel, Data Scientist • Citrine Informatics
Machine Learning (ML) has been applied to many manufacturing areas such as predictive maintenance or forecasting. However, ML for R&D has not seen as much attention...Learn More
Break in Sessions • Step into a 1x1 Meeting • Visit the Virtual Exhibit Hall
AI Integration Track
1:30 pm CST
Making AI Work for Manufacturers
Seth Earley, CEO • Earley Information Science (EIS)
AI has been getting its fair share of inflated and unrealistic expectations due to a lack of broad understanding by both software vendors and customers. Software tools can be extremely powerful, however the services, infrastructure...Learn More
2:10 pm CST
Build Your Business Case for AI
Zeydy Ortiz, Ph. D.CEO & Chief Data Scientist • DataCrunch Lab, LLC
Rob Montalvo Co-Founders • DataCrunch Lab
Now that you have an idea on the use of artificial intelligence in manufacturing, how do you move forward? In manufacturing, the most significant impact is reported as cost savings due to optimizing yield, energy, and throughput...Learn More
2:50 pm CST
AI Challenges in Cyber Manufacturing
Mahyar Asadi, Manager of Advanced Engineering Services • Applus Canada
Cyber-manufacturing enables a smart digital-twin of manufacturing processes that can wisely act without being explicitly programmed. However, the cognitive computing part of the cyber-twin is time-intensive beyond the...Learn More
3:30 pm CST
Conference Conclusion