Jan Neuman, Comcast Applied Artificial Intelligence Research Group
Jan Neumann leads the Comcast Applied Artificial Intelligence Research group with team members in Washington, DC, Philadelphia, Chicago, Denver and Silicon Valley. His team combines large-scale machine learning, deep learning, NLP and computer vision to develop novel algorithms and product concepts that improve the experience of Comcast’s customers such as the voice interfaces, virtual assistants and video and IoT analytics.
Before Comcast, he worked for Siemens Corporate Research on various computer vision related projects such as driver assistance systems and video surveillance. He has published over 20 paper in scientific conferences and journals, and is a frequent speaker on machine learning and data science. He holds a Ph.D. in Computer Science from the University of Maryland, College Park.
Ferhan Ture, Comcast Labs DC Research Group
Ferhan Ture is a member of the Comcast Labs DC research group, where he focuses on combining deep learning and natural language processing to build data-driven solutions for various Comcast products involving language, including the algorithms behind the voice-enabled remote controller for the X1 entertainment system. He is a frequent speaker at conferences worldwide.
How AI powers the Comcast X1 voice interface
We will explain how AI enables Comcast to understand what you are looking for when you talk to the X1 voice remote and how Comcast scaled the voice interface to answer millions of voice queries every single night. We share how Comcast uses natural language processing (NLP) and deep learning to identify the intent behind a customer’s query across multiple domains and combine voice and user activity to automatically train the system Along the way, we cover the lessons learned going from a research project to production and scaling the system to answer millions of queries per day.