August 24-25, 2022 • Dallas, TX
#AIMan22
Transforming the Entire Manufacturing Ecosystem
AI Manufacturing 2022 is a two-day event focused on providing in-depth discussions and solutions for manufacturing professionals who are transforming their operational systems. The 5th annual event will bring together senior-level decision makers, digital transformation leaders, IT Directors and others tasked with evaluating new technologies and accelerating their digital transformation. The event will cut through the hype to provide a comprehensive program and plans for action, assisting manufacturers to decrease downtime, improve profitability and stay competitive.
Hear from and network with manufacturing experts on their own AI journeys; from lessons learned to ROI. Make plans to attend and join manufacturing professionals from around the world. Early registration deadline is May 20th.
If you are a CTO for a food and beverage manufacturer, learn to integrate AI algorithms to improve product quality, reduce defects and increase profits.
If you are a plant manager for electronic products, discover how develop a digital twin to optimize plant operations and decrease downtime.
If you are a supply chain manager for an auto manufacturer, discover how ML integrated will track of parts and products, reducing inventory and waste, while improving product delivery.
If you are an IT director for pharmaceutical manufacturer, hear how to transform millions of data points into usable intel.
Who Attends
CxOs, Plant Managers, Directors of Robotics & Automation, Heads of Manufacturing, Smart Manufacturing, Advanced Manufacturing, Data Analysts & IT Directors
Heads of Supply Chain Management,
Productivity & Solutions, Presidents, Market Researchers & Industry Analysts, Heads of Digital Transformation, Directors of Manufacturing Intelligence, Solutions & Innovation, Manufacturing Engineers
Topics Covered
Digital Transformation, Data Analytics, Connected Systems & Environments, Investments & ROI, Predictive and Prescriptive Maintenance, Building and Maintaining a Digital Enterprise, Edge Computing, Digital Twins, Data and Adaptive Analytics, Cybersecurity, Barriers to Adoption & Lessons Learned, Supply Chain Optimization, Energy Management, Price and Demand Forecasting
Attendees from Past Events
