Predicting future demand for a company’s products or services is challenging. Anodot's ML-based Autonomous Forecast provides comprehensive autonomous forecasting of business growth and demand for organizations today.

As CSPs realize the benefits they can achieve from AI-based network monitoring they are faced with the immediate question: build our own system — or buy one? We outline the benefits and drawbacks of each approach, providing both the calculations and conceptual considerations you need to weigh in order to achieve the right decision for your organization.

In this webinar, T-Mobile’s CTIO, Dr. Kim Larsen discusses with Chief Data Scientist Ira Cohen, his experience in implementing the steps towards a zero touch network.

What is customer experience monitoring? Why is it so difficult? Dive into this webinar with Customer Success Engineer, Steven Kirkpatrick, to better understand what it means to effectively monitor your user’s experience from start to finish.

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.