Operationalizing AIOps at Massive Scale

This document is a technical report that discusses the implementation of AI/ML platforms within telecommunications companies. It outlines the importance of having such platforms to manage the complexity of service performance across various network layers, including last mile, metro, and backbone networks. The report identifies key inhibitors to AI/ML implementation, such as a belief that technology is not ready, a narrow domain-based approach, and concerns about lengthy delivery times. It presents insights from industry experts Randy Burke and Dale Skeen, who emphasize the need for a transformative approach to AI/ML. The report details the results achievable through AI/ML platforms, including significant reductions in restoration times and defect rates. Additionally, it highlights key requirements for selecting a product and vendor, focusing on real-time data handling, cost-effective scaling, and integration capabilities. The document concludes with a discussion on the differences between observability and AIOps, emphasizing the added benefits of an AIOps system.