Data Pipelines: A Vertically Integrated Digital Supply Chain
Advanced AI solutions require robust data pipelines to transform raw data into business value. Here’s how.
Advanced AI solutions require robust data pipelines to transform raw data into business value. Here’s how.
While the data revolution can seem at odds with the pace of physical infrastructure development and the need for careful planning and consistency, the use of data can move the needle in transportation departments in beneficial ways.
The federal government announced a new initiative on Friday that moves shared service missions into central offices to standardize purchasing.
Agencies are seeking innovative ways to boost internal efficiencies, while also improving how they manage and safeguard data.
The key to transforming government and creating sustainably healthy, vibrant, and safe communities is to break down these burdensome silos.
Agencies are looking for better approaches to data storage and backup. They are are shedding those complex, legacy multi-tiered solutions for simplified data management that still has physical support but is built for virtualized environments, and native cloud capabilities.
If your agency wants to optimize access and security around its data, it should look to a data strategy. That strategy has to occur on a hybrid cloud-enabled, multi-modal data and analytics platform.
Data sharing and integration are the keys to breaking down silos and achieving the smart connections necessary for sustainability in a digital era. But what’s the difference between the two, and why does it matter?
How can you reconcile data to have it available in the cloud so the right people can access it, securely, at the right time, to make thoughtful decisions that benefit mission outcomes?
Learn more about Operations Research, the discipline of applying advanced analytical methods to inform better decisions, primarily to optimize organizational operations through a scientific methodology.