Telcos are under tremendous pressure to reduce churn and increase ARPU. Break free from manual tracking and time-consuming root cause analysis: Anodot’s AI-driven monitoring is dynamic and adaptive enough to easily accommodate all your network complexities. Customer Success Specialist Daniel Tub shows how leading telcos use Anodot to autonomously monitor their OSS and BSS.

This webinar gives a behind-the-scenes look at how Anodot uses its own product to monitor its customers’ health and engagement. More than 60% of tickets handled by Anodot’s support team are generated from monitoring alerts that notify us about real-time changes in our customer’s data rate and data usage. This immediacy allows our customer support team to take a proactive approach, as we often find issues before customers do.

Learn how AI and machine learning are enabling critical capabilities, such as real-time anomaly detection and forecasting, to meet rising challenges in the telecom market.

Learn how AI and machine learning are enabling critical capabilities, such as real-time anomaly detection and forecasting, to meet rising challenges in the telecom market.

As 5G becomes the superhighway on which all data travels – scalable, automated analytics tools will become a must-have for the majority of enterprises.

Autonomous network monitoring is within reach. These are the challenges telecom service providers should avoid for faster time to value.

Continuous, accurate measurement of your primary KPIs is only half of the battle. The other half is turning all that data into actionable insights. Self-service BI is making it easier than ever.

While enterprise leaders are constantly looking to innovate, there’s one area where “business as usual” should be a focus — spotting anomalies in your data.

CTO Andrey Kuzin shares how he and his team use Anodot to catch network incidents faster and lower time to remediation.