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 a Principal Product Manager + Data Scientist for Concur Labs at SAP Concur, where she leads prototypes, interfaces, and future tech for travel and expense. Amanda’s experience ranges from operations research, underwater robotics, complex networks, and data science to serving as a lieutenant in the United States Navy. Most recently, she coauthored Feature Engineering for Machine Learning with Alice Zheng. She is a frequent speaker, working to foster an inclusive data community with groups like PyLadies and NASA Datanauts.
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