We increasingly expect the world around us to be “smart” and seamlessly adapt to our taste and habits. These expectations are no longer about better ads and search results, but about everyday objects that are intelligent, connected and integrated into our lives. The Internet of Things paradigm relies not just on crucial advances in hardware, software and data, but specifically on our ability to understand and process the context of our lives and actions. In this talk, I’ll focus on the role that data plays in enabling us to understand context—with examples drawn from wearables, health and recommender systems.
Context, Data, and Connected Things
Monica Rogati (@mrogati) is a data scientist with a passion for turning data into products, actionable insights, and meaningful stories. As the VP of Data for Jawbone, she focuses on developing data-driven products that promote a healthier lifestyle and on finding stories about sleep, movement and food in the UP wristband data.
Prior to Jawbone, Monica was one of the early members of the LinkedIn data science team, where she developed and improved some of LinkedIn’s key data products for matching jobs to passive candidates, discovering people you may know, and recommending groups you may like.
Monica’s compelling data stories are often picked up by the mainstream press, including the Wall Street Journal, New York Times, NPR and CNN. She was named as one of the 2013 “enterprise superstars” by Venturebeat, one of the top 100 most creative people in business in 2014 by Fast Company and one of the 2014 Big Data All-Stars by Fortune Magazine. Monica holds a Ph.D. in computer science from CMU, where she focused on text mining and applied machine learning. She authored eight US patents and numerous papers that appeared in top-tier peer-reviewed journals and conference proceedings.