Presented By
O’Reilly + Intel AI
Put AI to Work
April 15-18, 2019
New York, NY
Paco Nathan

Paco Nathan
Evil Mad Scientist,

Website | @pacoid

Paco Nathan is known as a “player/coach” with core expertise in data science, natural language processing, machine learning, and cloud computing. He has 35+ years of experience in the tech industry, at companies ranging from Bell Labs to early-stage startups. Paco is co-chair of JupyterCon and Rev, and an advisor for Amplify Partners, Deep Learning Analytics, Recognai, Data Spartan. Recent roles include director of the Learning Group at O’Reilly Media and director of community evangelism at Databricks and Apache Spark. In 2015 he was named one of the top 30 people in big data and analytics by Innovation Enterprise.


4:05pm4:45pm Thursday, April 18, 2019
Secondary topics:  AI in the Enterprise, Automation in machine learning and AI, Data and Data Networks
Paco Nathan (
Data governance is an almost overwhelming topic. This talk surveys history, themes, plus a survey of tools, process, standards, etc. Mistakes imply data quality issues, lack of availability, and other risks that prevent leveraging data. OTOH, compliance issues aim to preventing risks of leveraging data inappropriately. Ultimately, risk management plays the "thin edge of the wedge" in enterprise. Read more.