Du Shares Why AI in Network Operations Is a Necessity

Why It Matters

AI‑driven network operations are becoming essential for telecoms to scale efficiently, generate new revenue streams, and stay competitive, forcing vendors to rethink integration, cost, and security strategies.

Key Takeaways

• Automation essential for scaling network agility and capacity.
• Monetization must shift from bandwidth to outcome-based services.
• AI is a necessity, not just a buzzword, for operations.
• Vendors must address day‑two integration and brown‑field compatibility.
• Solutions need API standards, low TCO, and revenue generation.

Summary

At Cisco Live, du highlighted why artificial intelligence has moved from a buzzword to a core requirement in network operations. The carrier outlined three strategic pillars: scaling through automation, evolving monetization beyond raw bandwidth, and embedding AI natively to sustain growth.

Du’s executives stressed that automation is the linchpin for agile, high‑capacity networks, while revenue models must pivot to outcome‑based services that deliver tangible business value. They also warned that security, flexibility, and ease of deployment are non‑negotiable, and that AI must be woven into day‑two operational workflows rather than just day‑one provisioning.

Key remarks underscored the gap between vendor promises and operational reality: “AI is not a buzz, it’s a necessity,” and “vendors focus on day‑one, ignore day‑two and brown‑field integration.” Du demanded solutions that interoperate with legacy infrastructure, expose well‑defined APIs, and demonstrate clear total‑cost‑of‑ownership benefits.

The implications are clear: telecom operators will pressure vendors to deliver AI‑native platforms that are interoperable, cost‑effective, and revenue‑generating. Vendors that fail to address day‑two orchestration and brown‑field compatibility risk losing market share as operators accelerate digital transformation.

Original Description

AI in network operations has moved beyond experimentation into necessity. At Cisco Live in Amsterdam, du outlines why automation, AI-native infrastructure, and new monetization models are no longer future ambitions but immediate priorities for operators managing growing complexity and scale.

Fatima Aldahgar explains how du is approaching three critical areas: scaling through automation, shifting monetization beyond bandwidth toward measurable outcomes, and embedding AI directly into operations. But alongside these ambitions, she highlights a persistent gap between vendor narratives and operational reality—particularly when it comes to day two operations, integration into brownfield environments, and ensuring compatibility with existing systems.

Clear APIs, seamless integration, and practical deployment models are now essential requirements for vendors. This conversation reflects a broader shift across the industry as operators demand solutions grounded in operational reality, not just vision.

Featuring du's Fatima Aldahgar.

#Cisco #du #NetworkAutomation #Telco