The KEEN Knowledge Hub
Empowering Your Digital Transformation
Explore guides, case studies, and technical resources to help you deploy and maximize the power of your private 5G network.
FAQ
What is an enterprise edge network?
An enterprise edge network is a distributed IT architecture that places compute, storage, and networking closer to where data is generated. This reduces latency, improves performance, and enables real-time processing for applications like AI, IoT, and automation.
What is the Khasm Enterprise Edge Network (KEEN)?
Khasm Enterprise Edge Network (KEEN) is a private, secure edge networking platform that delivers low-latency connectivity and on-site compute for enterprises. It enables organizations to run mission critical applications closer to operations while maintaining centralized visibility and control.
What are the benefits of edge computing for enterprises?
Edge computing helps enterprises: - Reduce latency for real-time applications - Improve data security and sovereignty - Lower bandwidth costs - Enable faster decision-making - Maintain operations even with limited cloud connectivity
How is KEEN different from cloud computing?
Cloud computing relies on centralized data centers, while KEEN brings compute and networking to the edge. This means faster response times, better reliability, and improved performance for time-sensitive applications like robotics, video analytics, and industrial automation.
What industries benefit most from enterprise edge networks?
Industries that benefit most include: - Manufacturing (Industry 4.0) - Logistics and supply chain - Healthcare - Energy and utilities - Smart cities and infrastructure These sectors rely on real-time data, automation, and secure connectivity.
Does KEEN support private 5G networks?
Yes, KEEN is designed to integrate with private 5G and LTE networks. This allows enterprises to deploy secure, high-performance wireless connectivity for applications like autonomous systems, IoT devices, and industrial operations.
Is KEEN secure for enterprise use?
KEEN is built with enterprise-grade security, including zero-trust architecture, end-to-end encryption, and network segmentation. These features protect sensitive data and ensure secure communication across devices, applications, and locations.
What is edge computing used for?
Edge computing is used for: - AI and machine learning at the edge - Real-time video analytics - Industrial automation and robotics - oT device management - Augmented and virtual reality applications It enables faster processing and immediate insights.
Can KEEN integrate with existing IT infrastructure?
Yes, KEEN integrates with existing enterprise systems, including cloud platforms, on-premise data centers, and legacy networks. This allows organizations to adopt edge computing without replacing their current infrastructure.
Is KEEN scalable for large enterprises?
KEEN is highly scalable and supports deployments from single locations to global operations. Organizations can start with a pilot and expand as needed, making it suitable for both mid-sized and large enterprises.
How does KEEN improve network performance?
KEEN improves performance by processing data closer to the source, reducing the need to send information to distant cloud servers. This minimizes latency, increases reliability, and ensures consistent performance for critical applications.
What applications can run on KEEN?
KEEN supports applications such as: - Computer vision and AI inference - Predictive maintenance - Autonomous systems - Real-time analytics - Smart facility management These applications benefit from low latency and local processing.
What is private networking for enterprises?
Private networking refers to dedicated, secure communication infrastructure that is not shared with the public internet. KEEN enables private networking through isolated environments and integration with private 5G or LTE systems.
How is KEEN deployed?
KEEN can be deployed on-premise, in a hybrid model, or as a managed solution. This flexibility allows organizations to meet regulatory, operational, and performance requirements.
How quickly can an edge network be deployed?
Deployment timelines vary, but KEEN is designed for rapid implementation using pre-integrated components. Many enterprise edge deployments can be completed in days rather than months, depending on scale and complexity.
Does KEEN support AI and machine learning?
Yes, KEEN is optimized for AI and machine learning at the edge. It enables local data processing, reducing latency and allowing real-time insights without relying on centralized cloud infrastructure.
How do I get started with KEEN?
To get started with KEEN, organizations can request a consultation or demo through Khasm Networks. This helps identify use cases, deployment models, and integration requirements tailored to business needs.
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