Hello and welcome to today’s presentation on how to get your AI machine vision projects to the next level, brought to you by Manufacturing.net and Landing AI.
My name is Jeff Reinke, and I’m the editorial director Manufactuing.net.
Today’s presentation is focused on ways to help you better understand some of the obstacles associated with implementing machine learning and AI into your manufacturing processes, and best practices for working through these challenges in order to unleash the transformational power this technology holds.
Before we begin, if you have any questions about the content being covered, feel free to submit them in the space on your screen. Those will be forwarded to the appropriate contact and answered as quickly as possible.
We’d also like to take a minute to recognize the sponsor of this program – Landing AI.
Landing AI empowers customers to harness the business value of AI by providing tools like LandingLens, an end-to-end AI platform specifically designed for industrial applications. The team at Landing AI is uniquely positioned to help companies move their projects from proof-of-concept to full-scale production.
Quinn Killough is the Senior Manager of Business Development at Landing AI. In this role he collaborates with manufacturers to deliver AI-powered solutions with a focus on machine vision. Quinn combines his backgrounds in engineering, manufacturing, machine vision and machine learning to develop and deploy game-changing solutions.
So, without any further delay, here’s Quinn’s presentation on moving past current barriers in getting machine vision projects to the next level.
