Enterprise Management Associates (EMA™), a leading IT and data management research and consulting firm, today announced the release of its new research report, titled “AI-Driven Networks: Leveling Up Network Management with AI/ML and AIOps” authored by Shamus McGillicuddy, vice president of research, covering network management at EMA.
AI/ML technology can streamline, enhance, and automate many network management processes.
The practice of applying artificial intelligence and machine learning (AI/ML) algorithms to IT management has gained mainstream acceptance over the last few years. Many vendors and IT organizations embraced the acronym AIOps (artificial intelligence for IT operations) to denote this phenomenon. Whether called AI/ML or AIOps, these technologies are gaining traction and delivering value.
Many IT organizations apply AI/ML and AIOps technology across domains, correlating insights from the various layers of IT infrastructure and operations. However, Enterprise Management Associates has observed significant interest in applying these AI technologies narrowly to network management. Networks are notoriously complex, and network management is rife with manual processes and tool sprawl, making networks a fertile domain for AI-driven transformation.
Previous research from EMA confirmed that IT organizations recognize the potential value of AI-driven network management. Two years ago, 90% of IT professionals told EMA that the application of AIOps to network management could lead to better business outcomes for their companies. EMA’s new research found this optimism ticked slightly to 92% today.
“AI/ML technology can streamline, enhance, and automate many network management processes,” McGillicuddy said. “IT organizations are recognizing the potential benefits of improving overall network performance, agility, and security, especially with solutions from network management and network infrastructure vendors. Even emerging, general-purpose tools like ChatGPT can offer value to network teams.”
SOURCE: PRWeb