XenonStack provides Generative AI solutions, including tools that can improve existing bots through a better grasp of more complicated client intentions, sympathetic conversations, and excellent summarization skills.
Cloud-Native 5G Configuration Management
Ambient Intelligent Devices - AI Native Telco
Automated Support & Intelligent Storage
Generative AI and Real-Time Insight Engine
Network Optimisation and Self-optimising Network (SoN)
Intelligent Process Automation
AI-Driven Analytics Capabilities for Telecommunication Sector
Network Planning and Design, Network Tuning, Network Audit and BenchMarking, improve customer loyalty, End-user performance optimization, Network Planning and investment.
It involves AI-driven Predictive Analytics, Telco Data Analytics, Interactive Voice Response Systems, Data Center Management, Predictive Equipment Analytics.
It involves 5G networks, Cloud migrations, increased number of OTT, Automatic Network Planning, Configuring, and Controlling. Low Latency, End-to-End Intelligence and Complex Network Deployments.
Solutions for Improving Customer Satisfaction and Network Performance
It involves Customer Relationship Management, personalized and adaptive customer journey, analyzes data, recognizes problems, multi-dimensional insights, optimizes margins.
It involves maintaining mobile tower functions, network quality, troubleshooting connectivity issues, network optimization, AI-driven Video Analytics for surveillance, and IoT sensors to enhance network utilization and Asset Management.
AIOps enables 5G network Optimisation and Transformation with Churn Prediction, Hyper Personalisation, New Product and Service Analytics, Intelligent Chatbots, Customer Retention, and Advanced Analytics.
It involves System Architecture Innovation, Autonomous Driving Networks, Network Function Virtualisation(NFV), Performance Management, Radio Access Networks, Cloud-Based Network Management.
It includes Service Based Architecture, Optimising Networks, Robotic Process Automation, Intelligent Wireless Networks, Intelligent Service Centers, Service Quality Monitoring, Autonomous Optimisation.
It involves Network Configuration Management, network operation centers (NOCs), Field Service Management, Real-Time Network Inventory Management, Service Orchestration, Network Auto-Discovery, Intelligence Assurance and Analytics, IoT Connectivity Management.
AI for Telecom is all set for handling such defects, trained using advanced ML algorithms on big data, and the patterns generated by these algorithms can detect the anomalies with high accuracy.The telecom business has been able to extract insights from massive data sets, making it easier to address issues, operate daily operations more efficiently, provide greater customer service and happiness, and much more.
4 May 2023
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