Overview Agenda Speakers Partners Resources Recorded Sessions
Track 1 Track 2 Track 3 Track 4
Opening Address
9:00 – 9:15, Rooms 220 – 230
Session 1 – Let’s Level Set on AI in Manufacturing
Matt Vincent, Founder, Source Allies, Urbandale, IA
Before diving into the State of the Art of AI at our summit today, let’s start with a comprehensive overview of the AI landscape so we’re all on the same starting page! In this session, we’ll explore the fundamentals of AI sub-fields including machine learning, deep learning, and generative AI. We’ll discuss common manufacturing use-cases for each sub-field, how to evaluate, choose, or train models, and strategies for selecting the best use-case in your organization to start with. Additionally, we’ll cover the AI building blocks that have been democratized and made accessible to us all in recent years.
9:25 -10:10, Room 260
Session 2 – Safety, Quality & Productivity: The intersection of Industry 4.0, AI, and Your Frontline Workforce
Aaron Johnson, Managing Director of International Business Development, MakuSafe, West Des Moines, IA
We are inundated with messages today about the factory of the future, but what does that actually entail? Industry 4.0 is much more than just having advanced automation in your plant. In this presentation, we will discuss the interconnected worker and how your frontline workforce is a crucial part of your smart factory. Leveraging the power of technology, sensors, and AI can offer you deeper insights into what’s truly happening within your operations.
10:20 – 11:05, Room 260
Session 3 – Conversational AI as a Game-Changer in Manufacturing
Aditya Balu, Data Scientist, Translational AI Center (TrAC), Iowa State University
The manufacturing sector is experiencing a significant transformation, driven by integrating multimodal AI technologies, particularly Vision and Language Models (VLMs), into smart manufacturing systems. These advanced AI models revolutionize traditional processes by enhancing efficiency, agility, and intelligence across the production pipeline. By enabling natural and intuitive interfaces for tasks like CAD model design, manufacturing processes, and design for manufacturing (DFM), AI accelerates innovation while ensuring high product quality and optimal resource utilization. Multimodal AI also offers real-time insights for process optimization, reducing errors, minimizing downtime, and enabling proactive maintenance. However, implementing these technologies requires addressing challenges related to computational demands, system integration, and data security. This talk will explore how harnessing multimodal AI can create responsive and sustainable manufacturing systems, ensuring the industry remains competitive and resilient in the face of evolving challenges.
11:15 – 12:00, Room 260
Lunch
12:10 – 1:10, Rooms 220 – 230
Session 4 – AI – Top Use Cases on the Manufacturing Floor
Karl Schmidt, Information Solutions Architect, Van Meter, Inc.
This session will provide guidance on using AI and Machine Learning on the manufacturing floor. This session will also highlight some common use cases and as well as tools that can be used to implement.
1:20 – 2:05, Room 260
Session 5 – (Interactive Discussion) Harnessing AI in Manufacturing
Track 3 AI Manufacturing Leaders
Join our Interactive Discussion with AI Manufacturing Leaders, where you’ll delve into the cutting-edge applications of AI in manufacturing. This session will explore how AI is driving advancements in production efficiency, quality control, and supply chain optimization. Engage with industry leaders who are at the forefront of these innovations, and collaborate with peers to discuss challenges, share success stories, and uncover new opportunities for AI integration in your operations. Whether you’re focused on automating processes, enhancing product quality, or optimizing your supply chain, this session offers actionable insights and strategies tailored to the manufacturing industry.
2:15 – 3:00, Room 260
Session 6 – Turning Your Data Into Treasure: How to mine your data for gold by feeding it to the A.I. Model
Jason Palmer, President and Trung Le, AI Architect, Nobious Business Automation, Grinnell, IA
In today’s data-driven world, many organizational leaders still underestimate the true value of the data they have and the data they could be collecting. According to Forbes, data is often the most valuable asset a company possesses. Join us to explore strategies for enhancing data collection within your organization and maximizing the potential of the data you already have. We’ll discuss innovative methods for data collection beyond traditional computer systems and share examples of how organizations are leveraging this data using AI modeling to drive better business decisions.
3:10 – 3:55, Room 260
Closing Session
4:05 – 4:25, Rooms 220 – 230
Networking
4:25 – 6:00, Rooms 220 – 230