AI-Driven Network Planner

Our cloud-based AI network optimization service empowers telecommunications providers to maximize ROI on infrastructure investments using AWS services and data-driven planning. By processing diverse datasets through AWS Bedrock's generative AI and SageMaker's machine learning models, we provide actionable insights for strategic wireless and fiber deployment decisions. Technical Infrastructure: Data Storage: AWS S3 stores geospatial and network data with cost-effective scalability Computation: EC2 instances power graph analytics and optimization algorithms Analytics: Multiple simultaneous workflows include: Machine learning models on SageMaker analyzing coverage patterns Network graph analytics identifying efficient connection paths Geospatial analytics processing terrain and population data Cash flow modeling prioritizing highest-return investments Service Delivery Components

1. Initial Assessment Comprehensive infrastructure evaluation Structured data collection (satellite imagery, demographics, tower locations) Requirements gathering with stakeholders Gap analysis between current capabilities and objectives
2. Advanced Analytics & Modeling Coverage pattern analysis using SageMaker ML models Demand forecasting with AWS Bedrock's generative AI Graph analytics on EC2 instances for connection path optimization Financial modeling and ROI calculations Geospatial analytics for terrain and population distribution
3. Strategy Development Investment prioritization framework aligned with business goals Granular deployment sequence planning (household, street, and tower levels) Risk assessment matrix with mitigation strategies Capacity planning and scalability roadmap
4. Implementation Planning Detailed rollout roadmap with resource requirements AWS architecture recommendations for ongoing operations Knowledge transfer and capability building Performance metrics establishment and monitoring framework Key Deliverables Detailed network infrastructure assessment report Data-driven investment prioritization roadmap Site-specific deployment recommendations Comprehensive ROI analysis and financial modeling Technology implementation plan with AWS integration Engagement Details Duration: 10-week structured engagement Delivery Method: Flexible combination of remote and on-site options Key Stakeholders: CTOs, network planners, and infrastructure teams Our service helps telecommunications decision-makers balance short-term needs with long-term strategic goals while maximizing their AWS cloud investment. By processing complex datasets at scale, we deliver optimized networks, improved ROI, and greater confidence in resource allocation decisions.