Bell Canada Launches AI Ops Solution
Bell's AI Ops solution shifts network management from reactive troubleshooting to intelligent, proactive optimisation.
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Bell Canada announced its network AI Ops solution built on Google Cloud, which has been deployed.
This AI-driven approach has significantly improved Bell’s mean time to resolution (MTTR), enabling proactive network management that enhances reliability and optimiSes the customer experience.
Bell’s AI Ops solution shifts network management from reactive troubleshooting to intelligent, proactive optimisation—ensuring a seamless and high-performing customer experience.
AI-Powered Network Optimisation
Built using Google Cloud’s products and services—including Google Kubernetes Engine (GKE), BigQuery, Pub/Sub, and custom AI/ML models—Bell’s AI Ops solution introduces a new level of network intelligence. The system autonomously correlates network data and customer experiences to better prioritise issues.
While a minor issue at a low-traffic site may not require urgent attention, even a small disruption at a high-traffic site could significantly impact customer experience. Bell’s AI Ops solution, powered by Google Cloud’s Spanner Graph, dynamically assesses network relationships and changes in traffic to wholly understand the customer impact. Additionally, Google’s Gemini multimodal AI models enable rapid incident analysis, historical context retrieval, and streamlined access to vendor documentation for faster issue resolution.
Key Benefits of Bell’s AI Ops Solution:
- Proactive Issue Detection – AI-driven automation identifies and prioritises network issues before they escalate, reducing service disruptions.
- Accelerated Remediation – Automated network monitoring dramatically improves MTTR, resulting in faster recovery from outages.
- Real-Time Observability – Advanced analytics provide real-time insights into network performance, allowing Bell to address potential issues before customers are affected.
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Since partnering with Google Cloud, Bell has seen a 75% increase in software delivery productivity, streamlining its development processes and accelerating time to market.
Additionally, it’s achieved a 25% reduction in customer-reported issues, greatly enhancing customer experience and demonstrating the reliability of its solutions. This improvement reflects the ongoing rollout of Google Cloud’s suite of products and services, with AI Ops playing a significant role. This is further underscored by Bell’s consistent achievement of a 99.8% service-level agreement (SLA) compliance rate for data availability and timeliness, highlighting the robust and dependable nature of its infrastructure.
“This initiative significantly enhances the customer experience by revolutionising how Bell identifies and prioritises network and service anomalies. By leveraging Google Cloud’s AI, we are achieving greater accuracy and speed in resolving issues, accelerating our progress towards autonomous networks and continuously improving operations for an exceptional customer experience,” said Mark McDonald, Senior Vice President, Networks, Bell.
“This new network AI Ops solution isn’t just about incremental improvements; it’s a fundamental shift in how networks are managed. By combining Bell’s deep network expertise with Google Cloud’s technology, we’re enabling a new era of intelligent network operations,” said Angelo Libertucci, Global Industry Lead, Telecom Strategies & Solutions, Google Cloud.
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