Amazon Web Services
Amazon Web Services (AWS) is a comprehensive cloud computing platform that offers a wide range of services including computing power, storage options, and networking capabilities. AWS aims to provide businesses with the tools they need to scale and innovate, while ensuring security and compliance across various industries. AWS is also a trusted technology partner for the healthcare and life sciences industry, providing unmatched reliability, security, and data privacy. Additionally, AWS is expanding its offerings in quantum computing, robotics, and sustainability, further enhancing its capabilities in various sectors. AWS is also leading in generative AI, providing tools and services to help organizations build and scale AI applications efficiently.
Industries
N/A
Services
Cloud advisory, migration, and implementation
Advisory, migration, and implementation engagements to design, build, and operate cloud environments and regulated workloads, including hybrid migrations and enterprise application modernization.
Managed cloud operations and 24x7 run operations
24x7 operational management including monitoring, incident detection and response, automated remediation, and compliance guardrails to maintain production workloads.
ML model development, MLOps enablement, and foundation-model support
End-to-end ML engagements covering data preparation, labeling, distributed training, fine-tuning, deployment, monitoring, and governance for production ML and generative AI use cases.
Security assurance, compliance engineering, and audit readiness
Audit, compliance engineering, and tooling to help meet regulatory and security requirements for sensitive data workloads, including custom audit playbooks and framework mapping.
Data governance and metadata/catalog implementation
Implementation of centralized data catalogs, metadata management, governed sharing, and access workflows to enable self-service analytics while maintaining fine-grained controls and auditability.
Marketplace and third-party data integration
Support for listing, packaging, procuring third-party data products and integrating marketplace datasets into analytics and ML workflows, plus provider onboarding.
Cloud advisory, migration, and implementation
Advisory, migration, and implementation engagements to design, build, and operate cloud environments and regulated workloads, including hybrid migrations and enterprise application modernization.
Managed cloud operations and 24x7 run operations
24x7 operational management including monitoring, incident detection and response, automated remediation, and compliance guardrails to maintain production workloads.
ML model development, MLOps enablement, and foundation-model support
End-to-end ML engagements covering data preparation, labeling, distributed training, fine-tuning, deployment, monitoring, and governance for production ML and generative AI use cases.
Security assurance, compliance engineering, and audit readiness
Audit, compliance engineering, and tooling to help meet regulatory and security requirements for sensitive data workloads, including custom audit playbooks and framework mapping.
Data governance and metadata/catalog implementation
Implementation of centralized data catalogs, metadata management, governed sharing, and access workflows to enable self-service analytics while maintaining fine-grained controls and auditability.
Marketplace and third-party data integration
Support for listing, packaging, procuring third-party data products and integrating marketplace datasets into analytics and ML workflows, plus provider onboarding.
Expertise Areas
- Cloud infrastructure for regulated and healthcare workloads
- Data lake architecture, metadata management, and governed sharing
- Serverless ETL and connector-based SaaS ingestion
- Streaming ingestion and near-real-time analytics
Key Technologies
- Serverless computing and event-driven architectures
- Container orchestration and cluster management
- Managed relational, NoSQL, and time-series databases
- Object, block, and file storage for data lakes