The IoT Revolution Steve Eglash Executive Director, Data Science Programs Stanford ǀ Secure Internet of Things Project
IoT circa 2016 • It’s early times for IoT • IoT vision is predicated on lots of devices, lots of data, and services people want • Most uses and applications haven’t been invented yet • Big potential is convergence of IoT and machine learning Stanford ǀ Secure Internet of Things Project
Data science revolution • More data • More sources of data including the Internet of Things and social media • Cheaper storage • More powerful compute • Advanced algorithms including artificial intelligence • Mobile devices Stanford ǀ Secure Internet of Things Project
Convergence Big Data Artificial Internet of Intelligence Things Data Science Revolution Stanford ǀ Secure Internet of Things Project
Implications Happening now… • Data mining and machine learning → identify subtle relationships, distinguish causality and correlation, predict the future • Clustering and segmentation → ability to act on individuals rather than averages • Ability to search and extract information from unstructured, semi- structured, and structured data, including from the dark web • Statistical and probabilistic approaches The next frontier… • Contextual and human-centered interactions • Automated decision-making • Continuous learning Stanford ǀ Secure Internet of Things Project
IoT and data science revolution • IoT → real -time physical data can inform actions based on what is happening right now • Applications are everywhere • Energy, smart grid, energy efficiency • Transportation, assisted and autonomous driving, safety • Personal health, wearable medical devices • Manufacturing Stanford ǀ Secure Internet of Things Project
Risks and dark sides • Security, privacy • How to protect safety-critical functions on Internet- connected devices like pacemakers, door locks, automotive, and even refrigerators • Proprietary data • Corporate uses of personal data Stanford ǀ Secure Internet of Things Project
Secure Internet of Things Project • Stanford, UC Berkeley, and University of Michigan • End-to-end IoT systems including hardware and software • Goal is to make IoT more secure, more private, and more easily engineered • Brings together researchers and corporate members who share our enthusiasm for this topic • Current corporate members and other major supporters • Deutsche Telekom, Ford, Intel, NSF, Panasonic, Philips, SAP, Siemens, State Farm, Verizon, and VMware Stanford ǀ Secure Internet of Things Project
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