Challenges of Implementing AI Algorithms in Consumer Electronics
Recent advances in AI has enabled consumer & mobile device companies to greatly automate its existing operations, and enable more seamless and compelling user experiences around their devices. In this talk, I will provide an overview of recent trends and algorithmic advances in personalization, data analytics, audience science, and human-computer-interactions related to IoT, personal assistance, device interaction/control, media discovery and logistics. In addition, I will present some technical challenges that arise when one attempts to implement these AI and data mining algorithms in a large number of devices using massive amount of data.
Chul is head of service & data intelligence for the visual display division of Samsung Electronics, currently leading different service & data intelligence projects by applying various ML/AI, data science, and computer vision techniques to solve different technical problems in IofT, device experience and media consumption. Prior to Samsung, he led different teams and projects related to health & fitness at Under Amour, and content personalization at LinkedIn. He obtained his Ph.D in Computer Science at the University of Toronto.
