Vaneeda Allken is a machine learning researcher at the Institute of Marine Research. Her focus is on developing practical machine-learning based solutions for problems in marine science. Her latest work aims at automating fish counting and the estimation of fish species distribution using images obtained from trawl surveys.
Title: Bridging the gap between theory and practice AI
Abstract: Although machine learning models are getting increasingly sophisticated and becoming more widely accessible to the general public, many enterprises still struggle to put these methods to practical use. One prominent cause of this is that the impressive performance obtained on benchmark data often fails to translate to real-world use cases. It is challenging to build sufficiently representative datasets from scratch. Developing an effective model also requires a clear understanding of the objective and the manner in which the model will be deployed. Proper communication with the domain experts and the users is important. In this talk, I will discuss some of the roadblocks we faced while developing and implementing machine learning models in a practical setting, possible solutions and suggestions for the way forward.