$450

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Columbia University

New York, NY 10027

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Knowledge Graphs for AI in the Enterprise.

A world-class curated program offered on Columbia University’s Morningside campus in New York City, the Knowledge Graph Conference (KGC) brings experienced practitioners, technology leaders, cutting-edge researchers, academics and vendors together for two days of presentations, discussions and networking on the topic of knowledge graphs.

The conference is organized by Francois Scharffe, the Applied Analytics Club of Columbia University and the Executive Education program of Columbia University School of Professional Studies.

Thought Leadership Topics:
- Storing and Querying Knowledge Graphs
- Formats and Languages
- Metadata, Schemas, Ontologies, Taxonomies
- Data Governance
- Data Quality
- Linked-data
- Master Data Management
- Knowledge Graphs for AI
- Natural Language Processing
- Understanding Knowledge Graph Embeddings
- Visualization
- Search and Answer Engine Optimization
- Applications in Health care, Finance, Media and Open Data

Registration Fee: $450

Early registration benefits: A $100 early bird benefit is available until March 14, 2019.

Group enrollment and student benefits: Organizations enrolling two or more participants by March 1, 2019 are eligible for a tuition benefit. Limited student ticket rates also available. Please email spsexeced@columbia.edu for details.

Cancellation Policy:
Full refunds of the program fee may be obtained through March 4, 2019; no refunds will be provided after this date. All notification of withdrawals must be sent in writing to Columbia School of Professional Studies. Columbia School of Professional Studies is not responsible for travel or related costs under any circumstances.

We recommend participants consider purchasing trip cancellation insurance in the unlikely event the program is cancelled or they cannot attend for personal or professional reasons.

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