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Thursday, October 10 • 2:30pm - 2:55pm
OPEN TALK (AI): Paper to Digital: Unlocking the Data Trapped in Legacy Documents

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Legacy paper systems have trapped millions of data points in outdated systems. Unlocking those data points can have a significant value for the data science team and the business to leverage unique sources of data, which can in turn result in better machine learning models. Obstacles including the condition and storage methods can hinder data extraction, and recent advances in computer vision allow us to develop more accurate systems.

In this session, ZZ Si, Principal Machine Learning Engineer at KUNGFU.AI, an AI services consultancy, will discuss the potential of paper to digital, common challenges with it and how to overcome them, and the potential for unlocking those trapped data points.

AI DevWorld 2019 Speakers
avatar for ZZ Si


Principal Machine Learning Engineer, KUNGFU.AI
Zhangzhang Si earned his Ph.D. in Statistics at UCLA, where he explored generative hierarchical models for object recognition. He has publications in ICCV, CVPR and PAMI and has been a reviewer for CVPR, ICCV, and ECCV. He co-authored a paper in ICCV which won Marr Prize Honorable... Read More →

Thursday October 10, 2019 2:30pm - 2:55pm PDT
AI DevWorld -- Main Stage Theater