Overview
Accelerate generative AI adoption through hands-on, cross-functional execution on AWS.
Organizational friction and siloed workflows frequently delay artificial intelligence initiatives. Business and technical teams often struggle to align strategic objectives with practical cloud implementation, leading to prolonged evaluation cycles and stalled adoption.
This Experience-Based Acceleration engagement brings cross-functional teams together to build and launch generative AI use cases on AWS. Utilizing Amazon Bedrock and AWS AI services, technical teams resolve operational friction, establish cloud-fluent capabilities, and transition directly from concept to production readiness.
Key activities:
- Executive alignment and scoping: Align executive sponsors, define business objectives, select target generative AI use cases, and establish success metrics.
- Cloud readiness and pre-work: Complete data preparation, establish technical prerequisites, configure access controls, and validate acceptance criteria.
- Acceleration event: Conduct an immersive, hands-on building sprint to deploy generative AI models and integrate workflows in AWS.
- Transform at scale: Validate engagement outcomes against target metrics, establish reusable AI integration patterns, and define the post-engagement execution backlog.
Deliverables:
- Production-ready generative AI use case deployed on AWS.
- Prioritized post-engagement execution plan and backlog.
- Reusable integration patterns for scaling AI solutions.
Highlights
- Establish cross-functional alignment between business and technology stakeholders.
- Build self-sustaining organizational capability for generative AI development on AWS.
- Deploy functional AI capabilities into cloud environments to accelerate business value.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.