Emotions drive every aspect of our lives – from our health and wellbeing to our actions and decisions. For the first-time ever, we are now able to capture consumer emotions globally and at scale, allowing us to answer questions such as: are women really more expressive than men, which country smiles the most, what drives virality in video and which emotions in advertisements increase product sales. Millions of emotion data points also present a unique opportunity to improve a machine’s ability to read human emotions. This keynote will share insights from the world’s largest repository of consumer emotions and present the challenges and opportunities that this data presents for machine learning as well as data mining and visualization.
Rana el Kaliouby is cofounder and CEO of Affectiva—a pioneer in emotion AI, the next frontier of artificial intelligence—where she leads the company’s award-winning emotion recognition technology, built on a science platform that uses deep learning and the world’s largest emotion data repository of nearly 4.9 million faces analyzed from 75 countries, amounting to more than 50 billion emotion data points. Previously, Rana was a research scientist at MIT Media Lab, where she spearheaded the applications of emotion technology in a variety of fields, including mental health and autism research. Her work has appeared in numerous publications including the New Yorker, Wired, Forbes, Fast Company, the Wall Street Journal, the New York Times, CNN, CBS, Time magazine, Fortune, and Reddit. A TED speaker, she was recognized by TechCrunch as a women founder who crushed it in 2016, by Entrepreneur magazine as one of the seven most powerful women to watch in 2014, and on Ad Age’s 40 under 40 list. Rana has also been inducted into the Women in Engineering Hall of Fame and is a recipient of Technology Review’s 2012 Top 35 Innovators Under 35 award and Smithsonian magazine’s 2015 American Ingenuity Award for Technology. Rana holds a BSc and MSc in computer science from the American University in Cairo and a PhD from the Computer Laboratory at the University of Cambridge.