Skip to main content

Hughes Selects Motive Software Solution

Motive, Inc. announced that Hughes Network Systems, LLC (Hughes), the world's leading provider of broadband satellite solutions, will use Motive software to build intelligent automation into its broadband offerings, greatly simplifying the process of rolling out and supporting new high-speed Internet services. With this announcement, Motive is now the only vendor providing broadband management solutions to service providers in the DSL, cable, and satellite markets.

Hughes pioneered the development of high-speed satellite Internet services, which it sells globally. Available to consumers, small office/home office, and commercial enterprises, Hughes is rapidly expanding its subscriber base, and is increasingly focused on gaining efficiencies in rolling out and supporting new services.

�After a thorough competitive analysis, we selected Motive software to help us accelerate the delivery, reduce the support costs, and streamline the management of broadband services,� said Chuck McClain, vice president of Customer Service at Hughes Network Systems. �We also view Motive as a supplier that can expand with us to provide support to new products and service lines as they emerge.�

Popular posts from this blog

AI Agents Have Memory. Where is The Security?

Enterprise AI adoption keeps running into the same wall: the moment sensitive data, model weights, or agent memory leave a tightly controlled environment, security teams lose visibility into what happens to them while the workload is actually running. Confidential computing exists to close that gap, and new research from ABI Research shows the technology has matured enough, across CPUs, GPUs, containers, and now agentic AI, to become a foundational requirement for enterprises building sovereign AI infrastructure: computing environments they control end to end rather than simply rent. Protection is Moving From CPUs to GPUs ABI Research finds that CPU-based confidential computing is closest to mass-market adoption, the product of years spent hardening chip-level isolation for general workloads. GPU-based confidential computing is now generating the strongest momentum, and for good reason. It addresses one of the largest unresolved gaps in AI security: protecting data and models while inf...