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Zinkworks AI-Powered Network Automation for VMO2 Reduces Manual Tickets by 40%
Overview
Zinkworks and Google Cloud play a pivotal role in Virgin Media O2’s AI-driven network transformation.
Virgin Media O2 (VMO2), in collaboration with Zinkworks and Google Cloud, is leading the charge in transforming network operations through AI, automation, and cloud-native technologies. This partnership is enabling the development of intelligent, self-optimizing networks that deliver faster, more reliable services while reducing operational complexity.
Engagement Model
CSP Supplier Partnership
Concepts & Technologies
Digital Twin, Closed Loop Remediation, Root Cause Analysis, AI models, GenAI (Gemini), Python & Java.
Team Size Up To
0
Engineers
Engagement Time
0
+ Months
Challenges
Like many Communication Service Providers, VMO2 was navigating the complexities of modern network operations in an environment where customer expectations are rising, and agility is no longer optional.
The company was under pressure to deliver faster, more reliable services while managing an increasingly complex infrastructure. Manual processes were slowing down response times, and siloed systems made it difficult to gain a unified view of network performance. As the volume of data grew, so did the challenge of turning that data into actionable insights. VMO2 needed a way to scale efficiently, reduce operational overhead, and move from reactive to predictive operations.
While these challenges are common across the telecom industry, they were particularly pressing for VMO2 as it rolled out next-generation technologies like XGS-PON. The need for automation, real-time visibility, and intelligent decision-making became critical to maintaining service quality and operational efficiency. To summarize, VMO2 was facing:
Solution
To address these challenges, VMO2 partnered with Zinkworks and Google Cloud to implement a comprehensive AI-driven automation strategy. Key components of the solution included:
- AI-Powered Use Cases: Digital Twins for real-time network visualization, Closed-Loop Remediation to resolve issues autonomously, Root Cause Analysis to accelerate troubleshooting,Proactive Anomaly Detection to prevent outages.
- Unified Data Lake: A centralized data repository built on Google Cloud, enabling seamless data flow and AI model training using Vertex AI and BigQuery ML.
- Cloud-Native OSS Transformation: Migration of OSS systems to a streamlined, agile cloud environment, reducing complexity and improving responsiveness.
- Operational Integration: AI insights were directly embedded into VMO2’s ticketing system, ensuring real-time execution of data-driven decisions.
- Intent-Based Automation: An architecture capable of executing network changes automatically, enabling self-healing capabilities.
Results Achieved
The transformation of VMO2’s network operations through AI and automation has delivered tangible, measurable results.
By integrating intelligent automation into its workflows and leveraging a unified cloud-native architecture, VMO2 has significantly improved operational efficiency and service reliability.
Reduction in Manual Ticket Handling
0
%
Network Issue Resolution Times Improved
0
Mins Per Ticket
01 Benefits
Reduced Downtime: Early detection and resolution of issues, such as fibre degradation, prevented customer impact and saved hours of manual effort.
Operational Efficiency: Automation of routine tasks minimized manual intervention and accelerated service delivery.
Scalability: The cloud-native approach allowed Virgin Media O2 to scale their operations rapidly without compromising performance.
Real-Time Insights: A unified data fabric provided live network monitoring and predictive analytics.
Enhanced Collaboration: Cross-functional alignment between data, engineering, and operations teams fostered innovation and agility.
Security and Consistency: Centralized configuration and enterprise-grade security ensured robust and reliable operations.
Partnering with Zinkworks and Google Cloud has been instrumental in turning our AI-first network vision into a working reality. This journey has been all about reimagining how networks think, respond, and scale.
Our mission is to help CSPs move beyond reactive operations. With AI-driven automation and cloud-native architecture, we are enabling networks that can detect, decide, and act autonomously and at scale.
