Enhance team efficiency and boost productivity with our network assistant
Valuable insights within network data benefit multiple departments, but accessibility is limited beyond engineering teams. Even within engineering, obtaining network data is costly, often requiring the use of multiple tools.
Accessing diverse data within the CSP involves using various tools from different providers and specific expertise in their management.
Data accessibility necessitates the utilization of multiple tools
Data analysis typically necessitates significant investment in software for visualizing pre-calculated data in dashboards or proprietary tools.
Significant investment in software development for data access
Data analysis is restricted by the filtering and visualization options in current tools, preventing actions not provided by them.
Data analysis is constrained by current reporting capabilities
Accessing network data by non-expert teams is challenging, as they struggle to navigate the correct terminology in existing tools.
Data sharing among teams is restricted by a lack of knowledge about the data
Time lost in data sharing between different operator teams hinders a quicker response to incidents.
Inefficient methodology hampers data sharing among teams
Access to specific data is severely limited by the scarcity of experts, hindering optimal data utilization.
A bottleneck emerges due to a restricted pool of experts
Kenmei’s ADELE® Assistant converses with end-users using natural language on messaging apps (e.g. Microsoft Teams) and efficiently interfaces with the Data Fabric for on-the-fly and ad-hoc analysis.
Generate reports for any pertinent network Key Performance Indicator (KPI) using advanced filtering.
Generate maps for cells incorporating any network inventory parameter.
Retrieve the comprehensive list of parameters for any network element.
Generate geolocated maps for coverage, capacity, quality, and other parameters.
Query about network deployment in any area.
NETWORK INVENTORY ANALYSIS
Analyze the most relevant network issues.
ROOT CAUSE ANALYSIS
Kenmei's ADELE® Assistant seamlessly integrates advanced features, simplifying end-user access to network data and enhancing reporting capabilities with exceptional flexibility.
The assistant is designed to seamlessly support multiple RAT (Radio Access Technology) and RAN (Radio Access Network) vendors
01. Multi-vendor & Multi-RAT.
End users can access the Assistant using widely used instant messaging tools, including Microsoft Teams.
02. Interaction using Microsoft Teams.
The entire architecture is cloud-based, seamlessly integrated with the most powerful Large Language Models (LLM).
03. Multi-cloud & LLMs integration.
The assistant automatically queries the Data Fabric, responding to end-user requirements entered through the instant messaging tool.
04. Automatic querying capabilites.
Diverse output formats are generated, encompassing topology maps, coverage maps, temporal charts, and more.
05. On-the-fly advanced reporting.
The assistant grants access to Kenmei's comprehensive solutions portfolio.
06. Telco specialist with Use Cases integrated.
Kenmei's ADELE® Assistant delivers swift access to pertinent data, accelerating decision-making and troubleshooting processes. They seamlessly foster communication among team members and stakeholders.
Engineers spend several hours each day trying to respond to urgent requests from various teams (sales, customer service, management), diverting their focus from their core responsibilities.
Minimize unproductive time for network engineers
The average response time between teams can be reduced from days to minutes, thereby avoiding data specialists' bottleneck.
Facilitate the sharing of information across teams
On average, a small-sized operator may have over 200 dashboards dedicated to extracting information from the network.
Avoid developing hundreds of dashboards
Have information at your fingertips anytime, without the need to search for the necessary tool on your computer.
As the demands of Use Cases evolve, the assistan can adjust and scale to meet changes, guaranteeing sustained relevance and effectiveness over the long term.