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Generative AI
Cloud
Testing
Artificial intelligence
Security
Multi-phase IT strategy streamlined operations and cut costs. Phase 1 tackled infrastructure and cloud setup; Phase 2 optimized applications. Outcome: a scalable, cost-efficient foundation for future modernization and cloud migration.
A global client modernized its data estate using Microsoft Fabric to reduce latency, improve accuracy, and support scalable decision-making. The cloud-native platform cut costs, boosted efficiency, and accelerated data engineering by ~30%.
Early-stage GenAI pilots were scaled into enterprise-grade solutions, driving gains in product innovation, operational efficiency, and customer experience across the organization.
Automated a 20-year-old manual sales reporting process across 40+ global products and 2,000 data sources. Result: 500 hours saved annually in forecasting, plus a 12% faster fiscal close, saving 1,300 hours yearly.
An AI-powered solution modernized data strategy, governance, and analytics across multiple banks. Hyperautomation and RPA cut analytics costs by 50% and loan processing time by 20%. Cloud analytics drove a 25% cost drop and 15% revenue boost.
A cloud-based data estate was developed to support population health goals and meet interoperability mandates. The solution enabled secure, scalable data management aligned with compliance and care improvement objectives.