Revolutionizing Network Operations with AI Technology
SK Telecom has unveiled an automated operation system for managing their wired network using an infrastructure as code (IaC) solution embedded with AIOps environment, elevating the efficiency and stability of network operations. The AIOps approach utilizes AI abilities such as natural language processing and machine learning models to automate and enhance operational workflows.
The AI Orchestrator Enhances Control and Monitoring
The company’s self-developed next-generation wired network control platform, named the ‘AI Orchestrator’, automates all control and monitoring activities necessary for network operations. By using the AI Orchestrator, network operators can write scripts in familiar programming languages which the platform translates into specific commands for thousands of devices, streamlining tasks nationwide.
Overcoming Traditional Network Management Challenges
Telecommunication networks traditionally consist of a complex array of IP-based communication equipment, requiring operators to understand and utilize a wide variety of commands specific to each device and model. The AI Orchestrator’s automated system enables integrated control over all devices, significantly accelerating task completion from several days to just one day, while reducing manual errors.
Increased Operational Security and Stability
The AI Orchestrator notably improves network operation stability by simplifying version control and change tracking, enabling swift problem resolution. It includes safeguards that prevent the execution of potentially harmful commands unless authorized, thereby enhancing network security. Moreover, should control and monitoring application errors occur, the AI Orchestrator can quickly deploy fixes through simple template code modifications.
Further Innovations and Global Recognition
By embedding AI-based analysis and model features, SK Telecom’s AI Orchestrator facilitates more precise network operations. A data analysis system captures continuous data from nationwide communication equipment, and the platform integrates deep learning frameworks for easy AI utilization by network operators. The AI Orchestrator won acclaim at the IOWN global next-generation communications standards forum in Vancouver, where it was selected for controller tasks.
SK Telecom, through the voice of their Infra Technology Manager Ryu Tak-gi, emphasized the significance of being the first domestic telecommunication provider to adopt a ‘NetDevOps’ for wired network operations. The company is committed to reinforcing their network technology leadership by continuously evolving the AI Orchestrator and spearheading the integration of AI into their infrastructure solutions and development culture.
Important questions and answers:
1. What is AIOps?
AIOps stands for Artificial Intelligence for IT Operations. It is the application of machine learning and data science to IT operations problems, automating and enhancing IT operations processes through analytics and machine learning.
2. Why is automating network operations with AI important?
Automating network operations with AI is important because it greatly reduces the time needed to perform operations, decreases the chance of human error, enhances network security and stability, and allows the IT personnel to focus on more strategic tasks.
3. How does the AI Orchestrator improve traditional network management?
The AI Orchestrator automates the control and monitoring of the network, handling scriptwriting in familiar programming languages, executing commands across multiple devices, and accelerating operational procedures.
Key challenges or controversies:
– Technological Complexity: Integrating AI into network operations can be a complex process requiring significant initial investment and technical expertise.
– Job Impact: The automation of tasks could lead to concerns about job displacements within network operator roles.
– Data Privacy: The use of AI and the collection of data for network operations could raise privacy concerns if not managed properly.
Advantages:
– Efficiency: Network tasks that previously took several days can now be done in a single day.
– Error Reduction: AI automation can reduce the likelihood of manual errors in network operations.
– Security: Improves network operation stability and includes safeguards against unauthorized commands.
– Problem Resolution: Facilitates swift troubleshooting and fix deployment through simple code updates.
Disadvantages:
– Implementation Cost: High initial cost and expertise required to integrate AI systems into existing infrastructures.
– Dependency on Technology: A high reliance on the AI system could be problematic if there are outages or issues with the AI technology.
– Job Displacement: As AI can handle operations that previously required human operators, this can lead to job uncertainties in those roles.
For further information about SK Telecom and its technologies, you can visit their official website through this link. Please note that since I cannot browse the web, I am assuming “www.sktelecom.com” is the company’s main URL based on the standard URL format for corporate entities; it’s recommended to verify the URL independently to ensure it’s valid.
The source of the article is from the blog qhubo.com.ni