Reducing the Barriers to Artificial Intelligence Machine Vision Systems

Jul 20, 2021
Facebook X LinkedIn Email
Login  Register
About This Webinar
Large Silicon Valley companies have been the driving force in making AI-based systems available to people with specialized training, and those companies require many of these educated people to allow growth in this field. Search results for the term “data scientist” reveal over 100,000 job vacancies, positions for which a title did not exist a few years ago. Andy Long discusses how this situation has created a hole in the workforce. He shows how people who are not highly trained can fulfill a role and use AI technology when they are not necessarily being given the tools to do this.

***This presentation premiered during the 2021 Vision Spectra Conference. For more information on Photonics Media conferences, visit

About the presenter:
Andy LongAndy Long founded Cyth Systems in 1999 after working for over 10 years on test engineering projects small and large. His early experience began at the British Aerospace Military Aircraft in roles of Flight Test, Information Services and Marketing. He later developed test systems for Boeing and Goodrich, BMW, Mercedes Benz, Daewoo, JAE and Lucas. Further experience in the biotech industry included work with PCR systems, Johnson and Johnson and Biosite. He has worked on manufacturing, test and machine vision inspection systems, including robotics and AI based systems. He holds a Diploma in Manufacturing and Production engineering, a Degree in Aeropace Engineeering, a masters in Flight Dynamics, and was awarded the AIA Achievement Award in 2019.
artificial intelligencemachine visionVision Spectraworkforcetraining
We use cookies to improve user experience and analyze our website traffic as stated in our Privacy Policy. By using this website, you agree to the use of cookies unless you have disabled them.