A Future Challenge for Infrastructure Informatics | Citizen IBM Blog
How can information technology (IT) and data analytics help cities provide better qualities of life for their residents? Can a smarter approach to sustainability serve as a foundation to corporate social responsibility? Carnegie Mellon civil and environmental engineering professor James Garrett comments below on the connections among IT, data analytics, and building a smarter planet.
At a recent conference on computing in civil and building engineering, I made the point that the most pressing challenge for infrastructure over the coming years will be to determine more effective approaches to spending the least amount of money to deliver the highest quality services.
Consistent with IBM’s Smarter Planet vision, I see a huge role for information technology (IT) in addressing this challenge. We need to move to a model where the delivery, maintenance and management of roads, buildings, bridges, pipelines and other infrastructure is highly predictive and proactive, and where information is relatively cheapto collect.

A Future Challenge for Infrastructure Informatics | Citizen IBM Blog

How can information technology (IT) and data analytics help cities provide better qualities of life for their residents? Can a smarter approach to sustainability serve as a foundation to corporate social responsibility? Carnegie Mellon civil and environmental engineering professor James Garrett comments below on the connections among IT, data analytics, and building a smarter planet.

At a recent conference on computing in civil and building engineering, I made the point that the most pressing challenge for infrastructure over the coming years will be to determine more effective approaches to spending the least amount of money to deliver the highest quality services.

Consistent with IBM’s Smarter Planet vision, I see a huge role for information technology (IT) in addressing this challenge. We need to move to a model where the delivery, maintenance and management of roads, buildings, bridges, pipelines and other infrastructure is highly predictive and proactive, and where information is relatively cheap
to collect.

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