As an Advanced Tier AWS Consulting Partner, zeb is excited to present our Generative AI Pathfinder: Strategic Design & Solution Workshop on the AWS Marketplace. This workshop empowers organizations to harness the transformative potential of generative AI and develop an implementation strategy aligned with their business objectives. Through collaborative working sessions, our AWS-certified experts guide you in an end-to-end process - from identifying high-impact use cases tailored to your needs to designing a future-state generative AI solution architecture leveraging AWS capabilities.

We begin by assessing your requirements and desired outcomes to map the optimal path forward. The workshop covers key focus areas essential to your generative AI journey, including:

• Discovering innovative use cases that drive business value

• Evaluating foundational model choices and trade-offs

• Mastering prompt engineering and retrieval augmented generation (RAG)

• Applying instructional fine-tuning and domain adaptation

• Integrating the AI solution with existing applications and forming knowledge bases

• Establishing a robust MLOps pipeline for deployment, monitoring, and retraining

Moreover, we facilitate strategic discussions on developing a future-proof roadmap for your evolving generative AI needs over time. This comprehensive engagement encourages ambitious thinking to uncover opportunities and embrace cutting-edge AI capabilities that maximize returns on your technology investments.

Our team is passionate about partnering with visionary organizations to unlock generative AI's potential through innovative yet pragmatic solutions. We look forward to collaborating and co-designing a powerful AI strategy tailored to your distinct business landscape. 

Deliverables

Reporting Assessment: Collaborative sessions with our AI/ML Solutions Architects. The workshop includes up to 8 hours of sessions between zeb and your technical teams.

Future-state Architecture Diagram: A future-state architecture diagram outlines the planned technological framework and components (AWS) envisioned for implementation.

Estimating Total Cost of Ownership (TCO): Utilize our pre-configured AWS Pricing Calculator for precise projection of operational expenses linked with the proposed solution on AWS.

Recommendations Report: A summary of our exploration sessions, rationales behind architectural choices, and a detailed description of the future-state solution with suggested next steps. The report may contain any of the following that are applicable to your business:

• AI Use Case Modeling: Detailed definitions of the targeted generative AI use cases aligned to strategic business drivers.

• AI Governance Framework: Guiding principles and protocols to ensure effective management, monitoring, and responsible use of your AI Models.

• Generative AI Roadmap: A phased implementation plan with milestones for integrating generative AI capabilities across your technology landscape.

• Model Fine-Tuning Strategy: Approach and methods to leverage and optimize foundational models through techniques like prompt engineering and retrieval augmented generation (RAG).

• MLOps Pipeline Design: Proposed processes and AWS services to streamline deployment, monitoring, and retraining of the GenAI application.

• Proposal for Implementation Services: A proposal detailing the cost for zeb’s Professional Services teams to assist in the implementation effort.

Timeline

The assess and road mapping phase typically spans approximately 2 weeks, the implementation activities may require 8-12 weeks (depending on the scope, size of product and availability of your project sponsor and technical teams).

Next Steps

Our typical next steps involve showcasing our previously implemented solutions, submitting a proposal for implementation services, including future-state architecture recommendations, technical design and implementation, testing, and production cut-over.