Frequently Asked Data Labeling Questions
A day in the life of an ML engineer or a data scientist is not as glamorous as you might think; data-related tasks — from aggregating to labeling and augmenting data — can take up to 80% of their time. At Sama, we’ve helped hundreds of organisations overcome data challenges at every stage of the AI model lifecycle. In this session, we will cover the most frequently asked questions about data labeling. Key topics include: - Data curation - Representation and bias in data - Edge cases and ambiguity - Performance of models in production
As Sr Product Manager at Sama, Jerome Pasquero leads the expansion of Sama's AI Product & Solutions portfolio. Jerome brings extensive experience leading multiple AI product & technology initiatives to successfully introduce innovative AI ML solutions in the market. Jerome has developed leading-edge technologies that range from pure software applications to electromechanical devices while being a key contributor to the design of innovative and successful consumer products that have shipped to millions of users. Jerome is also listed as inventor on more than 120 US patents and has published over 10 peer-reviewed journal and conference articles. Jerome holds a Ph.D. in electrical engineering from McGill University in Montreal, Canada.