IT pros worry about network data being fed to AI tools
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.
Enterprise Management Associates recently surveyed 250 IT professionals about their experience with AI/ML-driven network management solutions for a report, “AI-Driven Networks: Leveling up Network Management.” It found that data problems are the number-two technical challenge they encounter when applying AI/ML to network management. Only network complexity is a bigger technical issue.
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