How AI and Automation Are Transforming Network Operations

Tallence at MWC 2026

Highlights // 09.03.2026

Reporting from MWC Barcelona 2026, The Fast Mode spoke to Matthias Krohnen, Chief Transformation Officer at Tallence AG, about how AI and automation are redefining network monitoring and operations. As networks become increasingly complex, traditional manual methods are no longer sufficient. Krohnen shares insights on how these technologies enable more efficient, resilient, and reliable operations, as well as the measurable outcomes customers can expect from deploying advanced network solutions.

Please note that this blog post was originally published on thefastmode.com and is available in English only.

How are AI and automation changing the way networks are monitored and operated?

AI and automation are pushing network operations from reactive to predictive. Instead of humans chasing incidents, AI-driven automation helps prevent them - by improving observability, resilience, and closed-loop operations across hybrid and cloud-native environments. The big shift is operational excellence: monitoring and resilience engineering paired with automation to reduce complexity, speed up change, and cut critical incidents. Ultimately, it’s about running carrier-grade platforms more reliably - while moving faster.

What operational, network, or business outcomes can customers expect one to two years after deploying your solutions, and how can those outcomes be measured?

One to two years after deployment, customers should see measurable outcomes in four areas: cost, speed, resilience, and revenue. We measure this with a clear baseline and OKRs: OPEX per subscriber/transaction, release frequency and lead time, incident rate/MTTR and SLA performance, plus revenue leakage and billing complaint rates.