Killough shows both customers and the systems integrators who support them how to:
Who should attend: Those seeking best-in-class AI/DL solutions for difficult quality inspection applications. These solutions include efficient data collection and model generation across global production networks, as well methods to communicate about and deploy these systems among diverse populations, including executives, engineers, and data scientists. This webinar is also geared toward those involved in test and measurement, quality control, and system integration, whether new to AI or currently relying on it for machine vision imaging and robotics systems. This webinar focuses on machine vision in the agriculture, automotive, consumer, manufacturing, pharmaceutical, and semiconductor industries.
About the presenter: Quinn Killough is a machine vision expert specializing in artificial intelligence/deep learning integration. Leveraging his engineering background and more than a decade of experience in manufacturing, rules-based machine vision, and machine learning, Killough empowers industrial automation and manufacturing enterprises to achieve value from automated inspection. As a senior business development manager at Landing AI, he collaborates with manufacturers to deliver and scale enterprise-wide adoption of automated inspection. He has a proven track record in deploying game-changing machine vision solutions across various industries. Prior to working at Landing AI, Killough was a global account manager at a machine vision provider. He also served as a manufacturing engineer and a quality engineer at one of the largest global manufacturers.
About Landing AI: Landing AI is building the data-centric MLOps platform for computer vision. Focusing on manufacturing visual inspection, Landing AI’s LandingLens platform enables machine learning teams to build, deploy, and scale computer vision applications 10 times faster than before. Founded by Andrew Ng, Ph.D. – co-founder of Coursera and founding lead of Google Brain – Landing AI is uniquely positioned to help companies across the globe successfully move their artificial intelligence (AI) projects from proof of concept to full-scale production.