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Comarch AI Control Desk is a dedicated part of Intelligent Service Desk, focused on the supervision of results of machine learning use cases realized by the AI module in different Comarch products. AI Control Desks supports the following use cases:
They are the most common Use Cases in the assurance area, and their automation brings the most benefits. To support these use cases, AI Control Desk utilizes the standard mechanisms provided by OSS Service Desk, i.e. checklists to propose the best possible actions required to solve an identified incident, problem or anomaly. AI Control Desk also monitors which actions have been selected by the operator, in order that the algorithm can gain additional training for implementation in future situations. The mechanism works like recommendations in your favourite online bookstore, but instead of books the system analyzes recovery actions available for the network and service operators.
The key driver in the process was the preparation for a massive deployment of the Korean communication service provider’s 5G network. The main goals of LG U+ were to optimize internal company processes and improve the overall end-user experience...
Introduce AIOps to your organizationIntelligence is the key to efficient utilization of the hidden knowledge in your organization. People are working hand in hand with intelligent machines, providing the information required to perform the appropriate actions at the right time.
Reduce the number of tickets processed manually by up to 90%Reduce the number of tickets that need to be processed manuallyby up to 90%, thanks to centralized, unified actions triggered by sophisticated correlation rules, using information originating from a comprehensive set of sources.
Automate network & service assurance processesAutomatically manage the processes that lead to improved quality of your network and services - use one single IT product for all assurance processes and AI-powered analytics.
Accumulate company knowledge in a single placeUse the knowledge of your operational team to teach machine learning algorithms, and increase operational efficiency.
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