Every project that results in the construction of a building that is not a “smart” is a project in which money savings has been lost, unnecessary natural resources have been consumed, and social improvements have not been delivered to citizens.
A city can consider itself successful only when it provides opportunities for all its citizens to have access to mobility, public health, learning and housing, while taking care of the environment.
Whether you live in a small town or large metropolis, you might be noticing profound changes in the way you interact with local government. Cities around the world – from San Francisco to Singapore and many in between – are leveraging emerging technologies to deploy smart, connected cities.
It’s been a month since the release of the Federal Data Strategy. As agencies adjust to the shifting priorities, here are three tools that can help them meet the new, ambitious goals.
Enterprise data clouds are especially valuable to organizations as they can analyze an agency’s data regardless of the IT storing that information.
With our work in natural resource and surface water, we utilize our asset management system in many ways. The ability to spatially conceptualize data helps our team make more effective policy decisions and communicate environmental and resource issues with better clarity.
Big data, as it’s called, has taken over government and forced agencies to piece together policies and practices that will allow them to manage all of their incoming information securely.
What would be possible if your organization could predict future occurrences? A new generation of advanced analytics—high-level diagnostic, predictive, and prescriptive—can now provide that opportunity.
To really move the needle in a way that sustainably transforms the organizational culture to a data-driven one, agencies need to progress beyond these initial ad-hoc use cases. They can do this by strategically harnessing the creativity and operational know-how of departmental staff to identify analytics opportunities enterprise-wide.
The role of a data analyst is evolving in the era of emerging artificial intelligence (AI). So much so, we might need to relabel this role as Analyst 2.0. Here’s a look at what Analyst 2.0 means for the next-gen data guru helping organizations use data for better decision-making.