TelecomTV's Network Automation Summit 2026 to Highlight AI and Autonomous Networking's Impact on Operational Strategies

TelecomTV's Network Automation Summit 2026, supported by ETSI, is scheduled for November 18, 2026, and will be an online event. The summit aims to address the accelerating shift towards software-driven, AI-assisted, and increasingly autonomous networks within the telecom industry. Key discussions will revolve around how AI, observability, and data intelligence are transforming operational automation strategies, alongside the growing importance of autonomous networking, intent-based operations, and orchestration platforms. This event is significant for network practitioners because it directly addresses the challenges and opportunities presented by increasingly complex network environments. As telecom operators move beyond isolated automation projects, the need for coordinated, closed-loop, and intent-driven operational models across core, transport, edge, and RAN environments becomes paramount. Understanding these evolving strategies is crucial for maintaining operational efficiency, enabling faster service innovation, and ensuring network resilience in the face of dynamic demands. The discussions around Level 4 and Level 5 autonomous networking models, while acknowledging the uncertainties, highlight the industry's long-term vision and the need for practitioners to prepare for a future where networks are largely self-managing. The broader trend in cloud, DevOps, and AI points towards greater automation and intelligence embedded within infrastructure. Network automation, in particular, is moving from rule-based scripting to AI-driven predictive and adaptive systems. The integration of AI and machine learning allows networks to learn from behavior, proactively adjust policies to prevent congestion, and detect anomalies that might indicate security breaches or performance degradation. This aligns with the wider industry push for AIOps, where AI is used to enhance IT operations with intelligent insights and automated responses. The summit's emphasis on observability and data intelligence further reinforces the idea that data-driven decision-making is central to achieving higher levels of network automation and autonomy. In practice, this means network engineers and DevOps professionals need to evolve their skill sets. A deep understanding of traditional networking concepts must now be augmented with knowledge of AI/ML fundamentals, data analytics, and programming (especially Python for network automation). Practitioners should focus on developing expertise in intent-based networking, where desired network states are declared, and the system automatically configures and maintains that state. Furthermore, familiarity with orchestration platforms and closed-loop automation systems will be critical. Organizations should consider investing in training programs that bridge the gap between traditional networking and these emerging AI-driven automation paradigms to ensure their teams are equipped to build and manage the autonomous networks of the future.