Sign in to unlock valuable content and features from our AI-driven platform. Receive timely technology updates and the latest information from the solution providers who can help you realize your goals.
Start your journey by entering your name and email address below:
Please confirm your email address!
We are going to send a confirmation email to your email address to let you receive timely technology updates and the latest information from the solution providers who can help you realize your goals.
Please describe the problem you are trying to solve.
You are using an AI that may or may not be fully capable of answering every question correctly.
Loading
Amplify your NetOps with Cisco AI-Powered Automation
This Cisco Tech Field video highlights how Cisco AI-Enhanced Radio Resource Management (AI-RRM) improves wireless network performance and user experience for organizations.
Frequently Asked Questions
What is AI-Enhanced Radio Resource Management (AI-RRM)?
AI-Enhanced Radio Resource Management (AI-RRM) is a technology that utilizes artificial intelligence to optimize wireless network performance. It analyzes historical data over a period of two to six weeks, rather than just the last 10 to 15 minutes, to make informed decisions about channel planning and resource allocation. This approach helps in maintaining network stability and reliability, especially in high-density environments where user expectations for Wi-Fi performance are high.
How does AI-RRM impact network operations?
Implementing AI-RRM can significantly enhance network operations by reducing channel changes during busy hours, which can lead to a 99% reduction in disruptions. This is particularly beneficial for industries like healthcare and logistics, where consistent connectivity is crucial. Additionally, AI-RRM provides insights for optimizing RF profiles across multiple locations, reducing the need for manual adjustments and improving overall network efficiency.
What is the role of historical data in AI-RRM?
Historical data plays a critical role in AI-RRM by allowing the system to analyze trends and predict future network conditions. By looking back at data from the past two to six weeks, AI-RRM can identify potential issues and optimize channel assignments proactively. This enables the network to adapt to changing conditions and maintain optimal performance, ensuring a better user experience in environments with high user density.
Amplify your NetOps with Cisco AI-Powered Automation
published by JDTechSolutions
JDTech is the leader in the implementation and support of technical services in New Jersey. We specialize in designing, planning, and implementing WiFi network solutions, Network Configurations, and cybersecurity services and solutions that provide network reliability and communication confidentiality without compromising performance. Our strategic technical thinking coupled with our technical experience allows us to deliver highly efficient, reliable, and cost-effective solutions and services.
Sign in with LinkedIn