Lecture: April 25, 2017

www.stanford.edu/class/ee392b

Analytics of Things for Smart Cities

Cheryl Wiebe, Teradata

Bio

Cheryl heads up the Americas Industrial Intelligence practice, which consults in, and delivers solutions for ad Smart/Connected Cities, Connected Assets / Vehicles, Connected Factory, Industrial Internet, Connected Supply Chain. Her mission is to “operationalize data science” at scale for industrial, automotive, manufacturing clients, as well as those in other industries, seeking to leverage analytics and sensor data to start new digital business. Previously, Cheryl built the Manufacturing Data Science team for the Americas, was a Consulting Partner in supply chain, and digital media for Media & Entertainment and ecommerce clients, Demand/Supply Chain CoE. Cheryl’s supply chain analytics company was acquired by Teradata in 2002, where she was a Supply Chain Analytics VP for SageTree, a Senior Manager with KPMG Consulting, US and Canada. Cheryl received a Bachelor of Science (Honours) in Computer Science, from University of Manitoba, and an MBA from the Richard Ivey School of Business, University of Western Ontario. She is current faculty member for International Institute of Analytics (IIC), frequent blogger, speaker on the topic of IoT/Analytics of Things and industrializing analytics at scale.

Abstract

This lecture explores the nature of Smart cities and explains how cities can achieve maximum value by integrating data from their operational systems to form an analytic system of systems. Our experience in assisting both public and private sector clients to extract value from data through the use of analytics suggests that the following points are crucial:

• The need to centralize operations while remotely controlling aspects of city infrastructure, delivering better city services with less cost.
• For maximum effect smart cities must  optimize within and across systems (fleets, buildings, lighting, etc.), to derive net new services, and potentially new revenue streams (to offset cost to the public.
• The most cost-effective approach involves reuse of data and infrastructure, to get more functionality, safety, efficiency, convenience, and services out of less capital expenditure on infrastructure and technology.
• Achieving reuse and extracting the highest level of functionality requires that separate project initiatives are connected and that full advantage is taken of synergy between them.

Lecture Notes

Presentation on Analytics of Things for Smart Cities by Cheryl Wiebe (pdf)