Accelerate 2026: Driving AI Automation Across IT and Networks

The Story: AI Automation in IT and Network Operations

An article from TM Forum’s “Accelerate 2026” series discusses how telecommunications and IT providers are rolling out AI-driven automation across network and IT operations. The focus is on using AI to manage complexity, improve reliability, and reduce operational costs in increasingly software-defined environments.

This includes automation for fault detection, incident response, capacity planning, and service orchestration across multi-vendor, multi-cloud infrastructure.

Key Trends Highlighted

• AI-assisted network operations (AIOps): Applying machine learning to logs, metrics, and traces to detect anomalies, predict failures, and suggest remediation steps.
• Closed-loop automation: Moving from manual runbooks to systems that can detect issues, propose actions, and in some cases execute fixes automatically within defined guardrails.
• Service orchestration: Using AI and automation to coordinate resources across cloud, edge, and on-prem environments to meet service-level objectives.

Why This Matters for Organisations

Even outside telecom, these patterns are relevant to any organisation running complex IT environments:

• Operational teams are under pressure to do more with less, while uptime and performance expectations keep rising.
• Manual triage and incident response do not scale well as system complexity grows.
• AI-driven automation can reduce mean time to detect (MTTD) and mean time to remediate (MTTR), freeing humans to focus on higher-level engineering and resilience work.

Practical Takeaways

• Start by instrumenting systems well – good telemetry (logs, metrics, traces) is a prerequisite for effective AIOps.
• Target a few well-defined use cases for automation (for example, common incident types, noisy alerts) before attempting broad, generic “AI ops”.
• Maintain clear guardrails: ensure that automated actions are auditable, reversible, and constrained by policy.

Key Takeaways

• “Accelerate 2026” highlights how AI and automation are reshaping IT and network operations, especially in telecom.
• The same principles – strong telemetry, AIOps, and closed-loop automation – can be applied in enterprise IT and security operations.
• Organisations that invest in observability and thoughtful automation design will be better positioned to manage complexity and scale.

Source: Original article: Accelerate 2026: Driving AI automation across IT and networks (TM Forum – Inform)