Manufacturing in 2030 Project: Panel Discussion
Join one of the world’s leading manufacturers of stadium and arena seating for an in-depth case study on how the lessons it is learning from adopting AI-empowered solutions are helping the company develop a low-risk, value-driven framework for future AI adoption in the decade ahead.
A producer of advanced custom seating solutions for leading venues around the world, from the AT&T Stadium, home of the Dallas Cowboys and the largest domed structure in North America, to the All England Tennis Club in Wimbledon, to the Sydney Opera House, Camatic is eager to harness the power of AI to help it enhance customer engagement, accelerate profitable growth, and improve delivery certainty.
Join us to see how Camatic is now focusing on using AI and Machine Learning techniques to achieve rapid business value by harnessing enhanced ERP data in the cloud, and how the insights it is gaining from these use cases are helping to identify key challenges and build momentum for more extensive AI adoption in the years ahead to 2030.
Speakers and Moderator
- Jamal Scase, Business Transformation Leader, Camatic
- Matthew Addley, Senior Director, Product and Industry Market Strategy, Infor
- Jeff Puma, Content Director, Manufacturing Leadership Council
This call is part of the MLC’s Manufacturing in 2030 project.