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Put AI to work
Sep 4-5, 2018: Training
Sep 5-7, 2018: Tutorials & Conference
San Francisco, CA
KC Tung

KC Tung
AI Architect, Microsoft

Website

KC Tung is an AI architect in Microsoft. He also has experience as a cloud architect, machine learning (ML) engineer, data scientist with hands-on experience and success in development and serving of artificial intelligence (AI), deep learning, computer vision, and natural language processing (NLP) models in many enterprise use-case driven architectures, using open source machine learning libraries such as Tensorflow, Keras, PyTorch, H2O.

His specialties are:
*AI/ML: end-to-end model and data structure design, testing, and serving in cloud or on-prem.
*Technical core: Design of experiment, hypothesis development, reference architecture for AI/ML in cloud centric implementation.

KC holds a PhD in Molecular Biophysics from The University of Texas Southwestern Medical Center in Dallas, TX.

Sessions

1:45pm-2:25pm Thursday, September 6, 2018
Implementing AI, Models and Methods
Location: Continental 1-3
Secondary topics:  Temporal data and time-series, Text, Language, and Speech
KC Tung (Microsoft)
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KC Tung explains why LSTM provides great flexibility to model the consumer touchpoint sequence problem in a way that allows just-in-time insights about an advertising campaign's effectiveness across all touchpoints (channels), empowering advertisers to evaluate, adjust, or reallocate resources or investments in order to maximize campaign effectiveness. Read more.