Generative AI in Network Operations

Understanding Generative AI

Generative AI refers to algorithms capable of generating new content or solutions by learning patterns from existing data. Unlike traditional AI that focuses on classification or prediction, generative AI can create new configurations, automate processes, and simulate various scenarios in network environments. This capability opens up a new realm of possibilities for network operations teams, particularly when integrated with network automation platforms such as NetBrain.

NetBrain is introducing a Co-Pilot Chatbot, a powerful tool that leverages advanced LLM (Large Language Model) technology combined with backend automation tools to streamline user interactions and deliver actionable insights. When a user poses a natural language question, the bot utilizes the LLM to grasp the user’s intent and employs a visual parser for straightforward inquiries, such as identifying CRC errors on specific interfaces or checking the status of a connection.

For more complex diagnostic logic, it relies on intent recognition built with no-code automation, to ensure accurate responses for validations. The Automation Orchestration Agent will intelligently determine the appropriate approach to take. Users will also be able to request monitoring capabilities, prompting the bot to create summary observability dashboards and provide a direct link for easy access.

Additionally, the Co-Pilot Chatbot will function as a database tool, allowing users to query device properties, such as the number of Cisco devices or the interfaces associated with each. For network engineers tackling complicated issues, the bot can generate an action plan by suggesting steps to diagnose connectivity problems—like pinging a device or performing a traceroute—while guiding users through the process. This seamless integration of intelligent automation and user support empowers operators to troubleshoot and manage their networks more efficiently.

Enhancing Network Visibility with NetBrain

One of the primary challenges in network operations is achieving comprehensive visibility across complex infrastructures. NetBrain’s network observability leverages generative AI to analyze vast amounts of data generated by network devices, applications, and users. This provides insights that were previously difficult to obtain. By synthesizing this data, organizations can identify patterns, detect anomalies, and gain a clearer understanding of their network performance—all in real time.

Streamlining Troubleshooting

Traditional troubleshooting methods can be time-consuming, often involving manual sifting through logs and data. NetBrain revolutionizes this process by automating diagnostics through its intelligent no-code automation platform. When a network issue arises, NetBrain’s AI-assisted diagnosis can instantly analyze similar past incidents and suggest potential fixes, significantly reducing downtime and improving MTTR while shifting operations left. This ensures that network teams can focus on resolving critical issues rather than getting bogged down in data.

Predictive Maintenance

Generative AI goes beyond reactive measures; it also empowers proactive validation strategies. With NetBrain, organizations can predict potential network failures before they occur. By continuously analyzing configuration drift, failover risk and deviations from golden design rules, NetBrain allows teams to take preventive actions to mitigate risks. This predictive capability not only enhances operational stability but also saves time and resources.

Building a Scalable Future

As organizations grow, so do their networks. Generative AI, coupled with NetBrain’s capabilities, allows for scalable network operations that adapt to increasing complexity and volume. NetBrain assists in designing network architectures that are not only efficient but also resilient to change. This adaptability ensures that businesses can maintain optimal performance even as they scale their operations.

The integration of generative AI into network operations represents a paradigm shift in how organizations manage their IT environments. With the added power of NetBrain’s network observability platform, businesses can enhance visibility, streamline troubleshooting, enable predictive maintenance, automate routine tasks, and bolster security.

As organizations continue to navigate the challenges of a digital-first world, those who embrace generative AI alongside innovative platforms like NetBrain will likely gain a competitive edge, driving efficiency and innovation in their network operations. The future of network automation is bright, and with the right tools, organizations can transform their operations to thrive in an increasingly complex digital landscape.

Get Started Today!

Don’t let uncertainty hinder your progress. Discover how generative AI can reshape your network operations and drive significant business value. Join the networking revolution and position your organization for future success!

Download the Gartner thought leadership research now.

Gartner, Prepare for Generative AI in Network Operations, Jonathan Forest, Andrew Lerner, 19 March 2024

Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s Research & Advisory organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.