Developing and monitoring AI solutions with limited labeled data
Co-Founder, CTO & MD, VisioLab
Justin Shenk is co-founder and CTO of VisioLab, a mobile AI software company providing visual food recognition for automated self-checkout in canteens. He previously worked as a data scientist and machine learning consultant for Intel and Peltarion (Stockholm). His background is in neuroscience research.
We will discuss pitfalls with developing and monitoring robust AI solutions with limited labeled data. This session will cover topics from building a Machine Learning team to monitoring environments for concept drift in production and lessons learned in the field from building a mobile food recognition app.