As new technologies emerge, citizens’ expectations of infrastructure are broadening. The classic notion of infrastructure as steel and concrete has expanded to include broadband, rapid and responsive software and data systems that facilitate daily living. In 2017, The Economist famously wrote “The world’s most valuable resource is no longer oil, but data.” The article states, “The concept behind ‘data is the new oil’ is that just like oil, raw data isn’t valuable in and of itself, but, rather, the value is created when it is gathered completely and accurately, connected to other relevant data, and done so in a timely manner.”
As the debate on the infrastructure agreement continues, the U.S. government would be wise to include digital technology, including data analytics, as a necessary component of the U.S. strategy on infrastructure. States, regions, and local communities must utilize their biggest resource, data from the internet of things (IoT) and other sources, to improve operations, expand economic opportunities and
With insights powered by data analytics, public sector agency decision-makers can ensure that infrastructure projects achieve multiple goals: Promote safety and well-being Using real-time data from IoT sensors on bridges, tunnels, roads and other critical infrastructure, as well as surveillance video from drones, public sector agencies can analyze the condition of these assets. They can better understand when assets will fail and make targeted and timely repairs. This helps keep traffic flowing and citizens safer. In the Netherlands, Rijkswaterstaat uses streaming analytics from SAS to gain deeper insights from their real-time IoT data for this purpose.
Increase sustainability and resilience
The management of water flow, storage, delivery, consumption, and treatment benefits from data collected by sensors and meters. AI and streaming analytics help protect lives and properties from flooding and promote health through sophisticated monitoring for contaminants in drinking water. My hometown of Cary, NC, uses an integrated approach from SAS, powered by Microsoft Azure, which provides real-time situational awareness to ensure that the public is better protected from flooding events, new development projects are properly vetted and local watersheds are safeguarded.
Improve equity and economic development
By integrating demographic and economic data with project data, agencies can objectively prioritize projects and determine which projects have the greatest impact. As part of SAS Data for Good, a county in the US is developing analytical insights around wage gaps and other income-related attributes.
Ensure transparency and accountability
The communication of insights gleaned from data inform and engage citizens. Additionally, integrating analytics from intelligent systems can improve transparency and accountability for public sector agencies. In Wake County, NC (USA) the use of AI to assess property valuation enhances human judgment and provides an independent, data-driven, objective analysis to complement the team’s analysis and assumptions.
The U.S. can’t miss this historic infrastructure opportunity. Analytics, including AI and streaming analytics at the edge and in the cloud, are the key to a forward-looking infrastructure strategy that encompasses goals including safety, sustainability, and equity. With data collection, data integration, data governance, visualizations and AI, infrastructure can be optimized to better serve citizens. The U.S. federal government is entrusting state and local governments to implement our nation’s most historic investment in infrastructure. With the incorporation of data analytics, this investment will be maximized as infrastructure functions optimally and agencies have the insights to make fast, data-driven decisions.
About SAS in IoT
SAS empowers organizations to create and sustain business value from diverse IoT data and initiatives, whether that data is at the edge, in the cloud, or anywhere in between. Our robust, scalable, and open edge-to-cloud analytics platform delivers deep expertise in advanced analytics – including AI, machine learning, deep learning, and streaming analytics – to help customers reduce risk and boost business performance. Learn more about our industry and technology solutions at www.sas.com/iotsolution
By: Lee Ann Dietz
Principal, Global Government Practice, SAS