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T-Mobile, Company Booster and Anodot discuss AI/ML’s value to network monitoring and the future of 5G monitoring

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.

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.

“Anodot has dramatically decreased the number of support tickets and increased customer satisfaction.”

Learn how leading telcos are using Anodot's ML-based anomaly detection to ensure business support systems can keep pace with the high level of service required for mission-critical applications.