Explore how a data-driven Cloud FinOps framework reduced QlikSense infrastructure costs by 37%, cut licensing overhead by 50%, and aligned compute capacity with real workload demand without compromising performance.
Explore how a data-driven Cloud FinOps framework reduced QlikSense infrastructure costs by 37%, cut licensing overhead by 50%, and aligned compute capacity with real workload demand without compromising performance.
Discover how DEWEY, a GenAI-powered training assistant, reduced knowledge search time by 50–70%, saved 22,000 annual hours and enabled secure role-based access using multimodal RAG, AWS Bedrock, Snowflake and ChromaDB.
Explore how ICASSIST, a Generative AI-powered Sales Intelligence Assistant, reduced document search time by 40–60%, saved 25,000+ annual hours, and eliminated cross-team data contamination using metadata-aware RAG, Snowflake, AWS Bedrock, and ChromaDB.
Explore how a data-driven cloud cost optimization strategy transformed AWS infrastructure efficiency, reduced unnecessary compute spend, optimized CPU and GPU utilization, and strengthened financial governance for enterprise-scale AI and analytics workloads.
Discover how a data-driven FinOps framework on AWS reduced cloud spend, eliminated S3 storage waste and shifted from reactive cost-cutting to proactive cloud financial governance.
A secure-by-design developer platform enabling high-velocity software delivery without compromising governance. By unifying Azure DevOps orchestration with AWS distribution and embedding shift-left security controls, this solution transformed fragmented workflows into automated, compliant CI/CD pipelines—dramatically improving deployment speed, code quality, and enterprise security posture.