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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 at Microsoft. Previously, he has been a cloud architect, ML engineer, and data scientist with hands-on experience and success in the development and serving of 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, and H2O. His specialties are AI and ML in end-to-end model and data structure design, testing, and serving in the cloud or on-premises, and technical core, the design of experiments, hypothesis development, and reference architecture for AI and ML in cloud-centric implementation. KC holds a PhD in molecular biophysics from the University of Texas Southwestern Medical Center in Dallas, Texas.

Sessions

1:45pm-2:25pm Thursday, September 6, 2018
A novel adoption of LSTM in customer touchpoint prediction problems
Implementing AI, Models and Methods
 Location: Continental 1-3
Secondary topics:  Temporal data and time-series, Text, Language, and Speech
KC Tung (Microsoft)
Average rating: **...
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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.