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.
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.
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