AI systems are ubiquitous in today’s world and help us become more efficient and productive. Whether it is sifting through large amounts of information for faster decision making (eg., Twitter, Netflix, Spotify, LinkedIn), Financial portfolio optimization, ridesharing or automation.
In this track we will learn what it takes to build an AI system at scale! Big Data Engineering is often the foundation of these systems and AI/ML helps develop deeper personalization. AI systems typically exploit past user behavior, user similarities and item similarities to generate a list of information items that is personally tailored to an end-user’s preferences. In addition to learning the state of the art in this field, the track will also aim to discuss topics around fair representation, security and privacy in building such systems.