As more IT organizations apply artificial intelligence (AI), machine learning (ML), and so-called AIOps technology to network management, network data is critical to success. AI/ML technology requires more and more data to learn individual networks, derive insights, and offer recommendations. Unfortunately, many organizations encounter problems when trying to feed network data to these AI tools.
In other words, network teams need to modernize their approach to network data before they embrace AI technology.
