Pipe Dreams and AI Realities: Networking’s Midlife Crisis
AvidThink is pleased to introduce our latest research report, “AI in Networking: Pipe Dreams and AI Realities: Networking’s Midlife Crisis“. This report provides a hype-free and balanced examination of AI’s role in the networking ecosystem, use cases of early AI/ML implementations and outcomes, and a roadmap for progress towards autonomous networks. It’s designed to support informed decision-making for IT leaders across enterprises, service providers, and data center operators as they consider AI integration strategies for their networks.
Simplifying Enterprise Networking with NaaS
The networking industry has long envisioned fully autonomous networks—self-operating, self-healing intelligent systems that seamlessly connect businesses and consumers worldwide. Despite decades of advancements, the dream of fully autonomous networks remains a vision. However, the rise of AI is revolutionizing network design, deployment, management, and optimization, bringing us closer to this goal.
Our report includes topics such as:
- Addressing AI Hype and Reality in Networking
- AI’s Critical in Realizing Autonomous Networking
- The Autonomous Network Maturity Model
- AI for Autonomous Networking — Predictive and Generative Models
- GenAI Foundation Models and their Role in AIOps
- Market Surveys on GenAI Adoption in Networking
- Role of AI Agents
- Natural Language Processing
- Intermediate Representations — Digital Twins and Network Models
- And many more…
Transforming Network Operations with AI
AI technologies, both traditional predictive AI/Machine Learning (ML) and the emerging Generative AI (GenAI), are already delivering tangible benefits across the network lifecycle. Predictive AI has proven effective in anomaly detection, capacity planning, and energy optimization.
For instance, telecom operators have successfully reduced power consumption in mobile networks using AI-powered solutions, while enterprise Wi-Fi networks benefit from AI-driven radio resource management. Meanwhile, GenAI is enhancing human-computer interfaces, assisting with complex troubleshooting, and enabling more intuitive network configuration.
Industry leaders such as eBay, Orange, and Google are leveraging AI to predict potential network failures, automate trouble ticket generation, and streamline incident analysis, thereby reducing problem resolution times and improving network reliability.
Overcoming Barriers to AI Adoption
Despite these advancements, several barriers hinder the widespread adoption of AI in networking. Concerns around trust in AI-driven decisions, challenges in scaling early GenAI pipeline architectures like Retrieval Augmented Generation (RAG) approaches, and the need for explainable AI are significant hurdles.
Download the AvidThink AI in Networking Report
To access our analysis of the AI in Networking, including actionable recommendations for enterprise IT teams, download the full report,
This report is a must-read for anyone seeking to understand the potential of AI in Networking and navigate the rapidly evolving landscape of AI. Don’t miss out on this valuable resource – get your copy today!
To learn more about participating in future AvidThink reports or to discuss your organization’s specific needs, contact us at [email protected].