Predictive Networks: How They Work & What You Should Know
Predictive networking uses AI and machine learning to foresee and resolve network issues before they arise.
What Is AI Wi-Fi? Can AI Improve Your Wi-Fi?
AI Wi-Fi refers to wireless networks that leverage artificial intelligence to optimize connectivity, performance, hardware reliability, and security.
AI Cybersecurity in Networking – How It Works
AI networking security involves the utilization of artificial intelligence technologies to improve the protection of networks against various forms of cyber threats.
Anomaly Detection Using AI & Machine Learning
Anomaly detection in AI is a technique used to identify unusual patterns or outliers in a dataset that deviates from the norm.
What Is a Self-Healing Network? Definition & How It Works
A self-healing network is a type of network that has the ability to perceive and rectify faults or problems automatically, without human intervention.
What Is a Self-Driving Network? Definition & How It Works
A self-driving network employs AI and ML algorithms for autonomous monitoring and network operations without human involvement.
What Is an Autonomous Network? Definition & How It Works
An autonomous network is a new model that uses built in artificial intelligence (AI), machine learning (ML), and advanced analytics to automate its operations and functions.
What Is Intent-Based Networking (IBN)? Definition & How It Works
Intent-based networking (IBN) is a type of network administration that uses artificial intelligence (AI) and machine learning to automate administrative tasks.
What Is AI Networking? How It Works & Why It Matters
Artificial Intelligence (AI) for networking is the application of AI technologies, machine learning algorithms, and predictive analytics to enhance and automate networking functions from Day -N to N operations. AI enables networks to be more efficient, secure, and adaptable by processing and learning from network data to predict, react, and respond to changing demands dynamically.
What is AIOps?
AIOps, short for Artificial Intelligence for IT Operations, is the application of machine learning, big data, and other artificial intelligence technologies to automate and improve IT operations. AIOps platforms use these technologies to analyze large volumes of data generated by IT infrastructure, predicting and preventing potential issues, identifying and resolving existing problems, and streamlining IT service management and issue resolution. The main goal of AIOps is to reduce the time and effort required to manage IT operations, thus increasing efficiency and productivity.
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