Like other large organizations, cities become smarter over time, in an evolutionary more than a revolutionary process.
The experiences of vendors and their clients implementing smart technologies for utilities, telecommunications, and other large enterprises show that simple, successful early use cases can build infrastructure, revenues, and organizational support for subsequent and more complex use cases. Later, higher level use cases emerge that justify and help pay for new investments.
For instance, early use cases may focus on lowering operational costs and building common tools for future projects. Using those common tools, later use cases can improve existing city services and support new services.
Kicking off smart city evolution in a smart way requires beginning with identifiable, achievable use cases with definable results that also help establish enabling infrastructure for future smart city use cases. Implementing a situational intelligence platform for analytics and visualization supports level one use cases for a smart city and forms a foundation for future level two and level three use cases, as well.
This post is the first in a series that explores how situational intelligence helps make a city smarter today and leads to the Smart City of the future.