Online | On-demand

Online | On-demand

Artificial Intelligence is a powerful tool to enable frontline workers in manufacturing to do their best work. While some fear that AI will eventually replace human labor, the reality is that AI-driven automation is not the solution to maximum productivity. Additionally, for most industrial organizations it is simply not feasible or even possible to automate processes that require human decision making or dexterity.

When we use AI to amplify worker activity, it becomes a tool that can quickly be leveraged by any sized manufacturing organization to continuously improve productivity and quality of work, while ultimately strengthening the position of frontline workers.

In this webinar you will hear Augmentir VP of Marketing, Chris Kuntz, speak about how industrial organizations can quickly realize the benefits of AI-driven optimization through Augmentir’s augmented worker platform.

Key Takeaways

  • Learn how AI empowers workers to perform at their peak productivity
  • Gain insight into how AI helps capture collective and tribal knowledge to advance training and close the skills gap in your organization
  • Understand how Augmentir breaks down the barriers to technology adoption and allows organizations to generate results within days of implementation


Chris Kuntz, VP of Marketing, Augmentir

Chris is the VP of Marketing at Augmentir, where he oversees the planning and execution of the company’s marketing initiatives, as well as the development of the partner ecosystem and customer success strategy.  Chris has over 20 years of experience in high tech solution delivery, marketing, business development, and consulting in the industrial software sector. Prior to Augmentir, Chris was the VP of Marketing at ThingWorx, the leading Industrial IoT (IIoT) platform company (acquired by PTC), where he managed the IoT marketing activities and partner programs.  Previously, Chris held executive positions in marketing and business development at multiple successful software companies. Chris has a BS in Mechanical Engineering and Computer Science from Binghamton University.