- Artificial intelligence (AI) and machine learning (ML) are being developed for networking and network management, with the first iterations providing deep analytics and augmenting IT’s root cause analysis workflows.
- There are a number of gaps that need to be closed before the full capability of AI and ML systems is realized.
Artificial intelligence and machine learning techniques continue to be improved as companies and researchers develop and test products. In networking, established vendors and startups are developing management systems that promise to automate the time-consuming, low-value work of data collection and correlation as well as the AI and ML techniques to provide actionable information to network IT, such as predictive trouble alerts and recommendations to resolve problems. Vendors’ products such as the recently announced Cisco DNA Center Assurance, Cisco Network Analytics Engine, and Mist Systems Virtual Network Assistant are also using sophisticated UI elements to help IT better understand networking problems and assist with root cause analysis. We’ve heard these promises in the past, and for one reason or another, these advanced techniques failed to deliver. Before you go the AI route, here are some key questions to ask. Continue reading “Four Interview Questions to Ask WOPR for a Junior Network Administrator Role”