text:   Ecosystems",4,"['Ever woke up thinking “what will ML pipelines look like in the next few years?”. Come to our tutorial “ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems” 8/18/21 7:15am PT at VLDB to find out what we think the future will hold.\n\n<LINK>', 'Our take: self-supervised ecosystems, where embedding representations are learned over massive corpora and integrated into hundreds of downstream systems, are shifting the ML pipeline from the manual feature curation and data labeling of Feature Stores to hands-free training.', 'In this new self-supervised paradigm, engineers face challenges with respect to overcoming potential biases (e.g., popularity bias) in the uncurated training data, managing embedding stability, and continually monitoring and maintaining models.', 'We will discuss these challenges and exciting open problems tomorrow! This tutorial would not have been possible without my amazing collaborators @atinsanyal @lingxiao @m_leszczy @krandiash']",21,08,969