Responsible AI
CDW believes responsible AI adoption begins with clear principles and shared accountability. This approach is designed to protect confidential and sensitive data, maintain ethical standards aligned to The CDW Way Code, and strengthen our reputation for innovation and trustworthiness.
We help customers address AI-related security, privacy, compliance, and ethical risks through a structured approach that covers the full AI lifecycle from strategy and data readiness to integration, implementation, operations, and ongoing monitoring and management. Our approach includes:
- Workshops and Strategy: Driving business alignment, acceptable-use frameworks, enterprise priorities, and practical adoption roadmaps.
- AI Security and Governance: Solutions designed to enable customers to deploy and manage AI in a secure and compliant manner.
- AI Data Center Infrastructure: Offering proven reference architectures for AI data center buildouts featuring AI-grade servers, storage, and networking.
- Public Cloud AI Infrastructure: Fast starts, bundled use cases, and clear pathways to scale give our customers easy ways to get started with AI on AWS, Azure, and Google Cloud.
- AI-Ready Data: Helping customers validate, prepare, and govern the data that will flow through their AI models and applications.
- AI Engineering: Designing and delivering custom AI applications and agentic automation.
