AI-Powered Analytics Platform with Amazon OpenSearch
Throughout my AWS tenure, I played a lead role in architecting and enabling solutions that placed Amazon OpenSearch at the core of next-generation analytics platforms — combining cybersecurity, observability, and automation into a cohesive, AI-powered framework.
This strategy empowered partner organizations like PwC, IBM, Kyndryl, and Wipro to unify disparate datasets, automate response logic, and gain actionable insights in real time. By integrating OpenSearch with services like AWS Secure Data Lake, SageMaker, Kinesis, and Lambda, we enabled scalable pipelines that could power fraud detection, GenAI-driven incident response, and enterprise observability — all through a search-first lens.
Architecture Overview
Our AI-driven analytics platform is designed to ensure:
- Unified data integration across structured and unstructured sources
- Real-time processing with event-driven automation workflows
- AI/ML augmentation through SageMaker and foundational models
- Cross-platform compatibility spanning cloud and on-premises environments
Business Benefits
- Enhanced Security: Real-time fraud detection and automated incident response
- Operational Intelligence: Search-first observability for complex infrastructures
- Cost Optimization: Unified platform reducing tool sprawl and licensing costs
- Scalable Innovation: Partner ecosystem enablement with reusable patterns
- Future-Ready Architecture: GenAI integration for predictive analytics and intelligent automation
Strategic Implementation Areas
Cyber Fraud Analytics - Partnered with PwC Fusion Center to deliver real-time fraud detection capabilities
GenAI for Incident Response - Intelligent automation workflows for security operations
IBM Intelligent Automation on AWS - Enterprise observability solutions with Instana and Turbonomic integration
Search-first Observability - Unified monitoring and analytics for containerized workloads