The IoT Revolution Steve Eglash Executive Director, Data Science - - PowerPoint PPT Presentation

The IoT Revolution

Steve Eglash Executive Director, Data Science Programs Stanford ǀSecure 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 ǀSecure 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 ǀSecure Internet of Things Project

Convergence

Stanford ǀSecure Internet of Things Project

Data Science Revolution

Artificial Intelligence Big Data Internet of Things

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 ǀSecure 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 ǀSecure 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 ǀSecure 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 ǀSecure Internet of Things Project