Data-driven companies making intelligent products must design for security and privacy to be competitive globally. The EU General Data Protection Regulation (GDPR), implemented May 2018, is the benchmark that global data privacy will be measured against.
Amanda Casari outlines the basic tenets of personal data and details the high-level changes that GDPR-compliant businesses face. She then translates the current and near-future impact to teams designing products driven by machine learning and artificial intelligence and shares use cases of how SAP Concur is designing to meet this challenge while still delivering services to its end users that are driven by advanced algorithms.
Amanda Casari is an engineering manager on the Google Open Source team, where she is leading research and engineering to better understand open source systems. She has worked in a breadth of cross-functional roles and engineering disciplines for the last 18 years, including developer relations, data science, complexity science, and robotics. She creates projects and programs to make the data world more responsible and approachable, recently co-authoring the O’Reilly book, Feature Engineering for Machine Learning Principles and Techniques for Data Scientists. Amanda is endlessly fascinated by the difference between the systems we aim to create and the ones that emerge.
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