Many government and large organizations rely on standards to ensure interoperability of software and hardware. This can be of critical importance when implementing a solution from multiple vendors and open source providers. You need client-server technologies with support and compatibility for standards such as OGC® (Open Geospatial Consortium) and the Esri GeoServices REST specification.

Implementing cloud-based image analytics has a number of benefits for a business. A centralized server architecture that contains all of the data, analytical, and software needs of an organization is lower cost and easier to manage. It allows for all of the user administration to occur in a single place. A centralized system is also easier to update, and allows the administrator to perform faster, more frequent updates to the system as opposed to the time consuming process of pushing updates to a network of desktops. New workflows can also be pushed out much faster. Configuration management is easier with a vetted process and analytics that are maintained in a centralized location, enabling consistent and repeatable processes across your organization. All of these result in monetary savings for the company and improved efficiencies. Reduced hardware and software costs, combined with reduced overhead for support and maintenance are all benefits of deploying enterprise-level software.

ENVI Services Engine takes advantage of the multiple processors and multiple server class computers of an enterprise or cloud architecture. The web services design can dramatically reduce processing time by allowing the ENVI analytics to scale to the available computational resources.

The ability for large-scale organizations to install hundreds, if not thousands, of individually licensed machines is cost-prohibitive. A cloud-based solution is easier to implement and update. And our Professional Services Group can assist with your custom implementation of ENVI Services Engine.