This video is part of the Applied AI Summit San Francisco, 2019 Event. If you would like to access all of the videos please click here.

Challengers 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 Lee, Head of Service and Data Intelligence at Samsung Electronics

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.

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