Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
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Machine learning and GDPR

Michael Gregory (Cloudera)
4:40pm5:20pm Thursday, March 28, 2019
Secondary topics:  Security and Privacy
Average rating: ****.
(4.25, 4 ratings)

Who is this presentation for?

  • Chief data officers, chief technology officers, data protection officers, architects, data engineers, and data scientists



Prerequisite knowledge

  • A basic understanding of data analytic concepts, regulatory compliance, and GDPR

What you'll learn

  • Understand GDPR
  • Explore platforms, tools, and techniques for ML model interpretability at enterprise scale


In an age of increasing regulation, including the European Union’s General Data Protection Regulations (GDPR), data-driven organizations must adapt data processing techniques to ensure compliance. Under GDPR, automated decision-making technologies such as machine learning have been targeted for special processes and restrictions that, without the proper context, can lead an organization to avoid implementing these powerful and transformational tools.

Michael Gregory explores the background of GDPR and its specific relation to machine learning restrictions and explains how mature, data-driven organizations can ensure their ability to leverage ML through the important combination of a modern, secure, and governed data platform and emerging tools and techniques for the interpretable design of machine learning systems.

Photo of Michael Gregory

Michael Gregory


Michael Gregory leads the field team for machine learning at Cloudera helping organizations derive business value from machine learning. Michael has more than 20 years of experience building, selling, implementing, and supporting large-scale data management solutions at Sun Microsystems, Oracle, Teradata, and Hortonworks and has seen and evangelized the power of data to transform organizations and industries from automotive to telco and public sector to manufacturing.