UST’s technical team offers a Generative AI Technical Readiness Assessment, providing a structured framework to assess your organization's capacity to deploy and optimize generative AI models within AWS environments. This assessment delves into technical prerequisites, specific use case identification, and compliance alignments, establishing a technical blueprint and an actionable strategy to quantify and track the added value of AI integration.

Overview This technical-focused evaluation is tailored for organizations aiming to discern the applicability of Generative AI within their operational scope, measure its projected business impact, and delineate technical milestones for AI implementation.

While the intricacies of Generative AI's underlying technology are complex, our assessment simplifies this by outlining its capabilities within your technical infrastructure. We aim to bridge the gap between business objectives and advanced AI solutions through a meticulous alignment process conducted by our specialists.

The UST Generative AI Technical Readiness Assessment is spearheaded by a team comprising a UST business analyst and a solutions architect skilled in AWS ecosystems. Together, they establish a strategic approach detailing how Generative AI can enhance your business operations and technical prowess.

The assessment encompasses: • A thorough evaluation of your business initiatives to align with potential Generative AI use cases. • A comprehensive review of your existing data assets and data governance policies. • A critical examination of business objectives and corresponding KPIs to gauge AI-driven success. • An in-depth technical session featuring: • An extensive overview of Generative AI model intricacies. • Best practices for model deployment and fine-tuning within AWS frameworks. • Considerations for organizational adjustments conducive to AI adoption. • Technical skillsets and tools required for model refinement, deployment, and maintenance. • Detailed architectural planning for AI deployment. • Assessment of deployment models tailored to AWS platforms.

Deliverables: • A detailed AI Canvas for the prioritized use case, serving as a blueprint for a proof of concept. • A high-level architectural design for the envisioned AI solution. • An estimated Total Cost of Ownership (TCO), including projected AWS resource utilization. • A comprehensive Statement of Work (SOW) for the execution of the proof of concept. • A step-by-step AI adoption roadmap outlining the path from technical readiness to full-scale deployment. • The UST Generative AI Technical Readiness Assessment is an invaluable resource for technical leaders’ intent on leveraging AWS's robust cloud infrastructure to drive advanced AI initiatives within their organizations.

Support includes: • Conduct a technical readiness assessment at client’s location, or virtually on Generative AI. • Analyze the competency and build a customized use case for the company for Generative AI. • Build a customized working Prototype of using SageMaker JumpStart, Amazon Bedrock, and Guardrails for Amazon Bedrock. • Build a customized roadmap for implementing Generative AI in the customer organization. • Provide consultation services to support your implementation of Generative AI, SageMaker JumpStart, Amazon Bedrock, and Guardrails for Amazon Bedrock. • Offer up to 20 hours of support per month for a period of 3 months after implementation

AWS Technologies In this workshop we will be using ageMaker JumpStart, Amazon Bedrock, and Guardrails for Amazon Bedrock.