monitoring solutions provide high ROI by dramatically from ravi teja's blog

AI monitoring technologies have the potential to introduce significant cost savings for CSPs. Based on machine learning and fully autonomous, these monitoring solutions provide high ROI by dramatically reducing Time to Detection (TTR), Time to Resolution (TTR), the total number of alerts, and the number of false positives and negatives. Forward thinking CSPs who rely on AI-based monitoring drive operational efficiency, deliver a better customer experience, and prevent critical performance and quality of service issues across the network. 

However, for most CSPs, successful adoption and implementation rates of AI monitoring are still low. The main hurdles faced by CSPs are the complexity of the network, limited resources and internal knowledge, and an overwhelming number of potential use cases. In most cases, AI monitoring solutions require heavy investment in setup, data integration, use case development, operation and maintenance — as well as specialized skills typically provided by pricey professional services firms. This results in significantly higher TCO, longer time to value, and slower use case implementation when compared to out-of-the-box solutions.

That’s why Anodot is built from the ground up to deliver AI-based network monitoring with the shortest time to value. It does so by providing a fast and simple integration process, streamlined on-boarding and ongoing use, and completely autonomous monitoring and correlation that requires no manual intervention.

Anodot is built to deliver value fast, so implementation time — including technical integration, data validation and on-boarding —  takes weeks instead of months compared to alternative solutions that rely heavily on outsourced professional services. Data integration is fast and simple using one of Anodot’s many turn-key integrations or agents and open source collectors. The platform also has a robust REST API, so CSPs can stream their measures and dimensions from anywhere. There are no lengthy professional services projects, and no data scientists required. This short integration process enables users to seamlessly send data to the platform, deriving immediate value and new efficiencies. 

More info: ericsson careers

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