Generative AI has emerged as a game-changing technology with the potential to revolutionize enterprises. As organizations seek to unlock the true power of AI-driven innovation and stay ahead of the competition, understanding and leveraging Generative AI is critical.

As AWS's established AI/ML partner of the year, we present our 4-day Gen AI Advisory Series:

This series is designed to meet AWS customers where they are on their AI/ML and Generative AI journey. Whether your team needs immersive education, to discuss the possibilities of Gen AI, or get hands-on experience with AI/ML technology, our team facilitates a multi-day AI Strategy session bespoke to your needs, leveraging Bedrock with Anthropic Claude for advanced AI capabilities.

Our Generative AI Advisory Series includes:

Education Deep Dive and Bi-Directional Information Sharing: Encompasses education on industry outlook, fosters bi-directional information sharing through business discussions, and prepares for effective use case generation.

Use Case Identification and Prioritization: Conducts an "Art of the Possible" session to discover and deliberate applicable use cases, facilitates a prioritization exercise and project canvas for optimal AI-driven solutions.

Hands-On Minimum Viable Prototype (MVP) Design Creation: Provides experienced Gen AI support and guidance with foundational data considerations, hands-on technical labs based on AWS best practices, and expert architectural recommendations for seamless delivery of AI solutions.

Integrating Bedrock with Anthropic Claude, our advisory series equips your organization with cutting-edge natural language processing and generative AI capabilities, finely tuned to your specific enterprise needs. This series is designed for business and technology leaders alike, focused on building the fundamentals for organizational readiness and execution, ensuring superior outcomes.

Outcomes:

• Team enablement on Gen AI, Summary of GenAI objectives, and synopsis of relevance to current industry landscape
• Prioritized GenAI and AI/ML use cases based on impact to business, project canvas for priority GenAI business case, and assessment of team readiness
• Post-lab report with architecture design recommendation for prioritized use case(s)