Creanord, a leading provider of network performance monitoring and service assurance solutions, and Lounea, a major Finnish broadband fiber connectivity provider and ICT specialist, announced the next phase of their groundbreaking AI-driven network optimization project.
“This collaboration with Creanord is a testament to our commitment to delivering exceptional network services.“ — Riku Päärni, CTO at Lounea
Building on the success of their previous collaboration, Creanord and Lounea are now integrating advanced AIOps techniques to enhance network performance and user experience further. The latest research focuses on summarizing complex network data into a simple rating system for specific network locations. This rating system provides a clear and concise overview of network health, enabling operators to quickly identify potential issues and take proactive measures.
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Creanord and Lounea aim to create a holistic view of network performance from technical and user perspectives by combining the summarized network rating data with valuable customer feedback. The combined data create a holistic view of network performance from technical and user perspectives. This integrated approach will empower operators to prioritize network improvements based on both objective metrics and subjective user experiences.
“AIOps is revolutionizing network performance management and service assurance by automating routine tasks and providing actionable insights,” says Claus Still, CEO of Creanord. “By leveraging AI and ML, we can transform vast amounts of data into meaningful information that drives better decision-making and improves overall network performance.”
“This collaboration with Creanord is a testament to our commitment to delivering exceptional network services,” says Riku Päärni CTO at Lounea. “By harnessing the power of AI, we can proactively address network issues, optimize resource allocation, and ultimately enhance the digital experience for our customers.”
Creanord and Lounea are excited to continue pushing the boundaries of AI-driven network optimization and look forward to sharing further advancements in the future.
Source: Creanord
