FAQ
Publicis Sapient’s AWS Gen AI Fast Track is a four-week workshop designed to help organizations adopt generative AI on AWS with more clarity, structure, and speed. The offering combines AWS services such as Amazon Bedrock and Amazon CodeWhisperer with Publicis Sapient’s SPEED framework to assess readiness, prioritize use cases, build a prototype, and define a roadmap for scaling.
What is Publicis Sapient’s AWS Gen AI Fast Track?
Publicis Sapient’s AWS Gen AI Fast Track is a structured workshop for accelerating generative AI adoption on AWS. It is designed to immerse participants in AWS generative AI products and services, responsible AI and governance, AI readiness, and use case prioritization. The engagement also includes rapid prototyping and roadmap development.
Who is the AWS Gen AI Fast Track for?
The AWS Gen AI Fast Track is for business and technology leaders who want to accelerate value creation through generative AI. The source materials position it for organizations that need clarity in a complex AI landscape and want a practical path forward. It is especially relevant for enterprises evaluating where generative AI can create business value.
What business problem does the AWS Gen AI Fast Track help solve?
The AWS Gen AI Fast Track helps organizations move from generative AI exploration to actionable next steps. Publicis Sapient describes the challenge as understanding where value will reside, how to prioritize use cases, and how to move beyond early experimentation. The workshop is designed to bring structure to those decisions.
What does Publicis Sapient help organizations learn during the workshop?
The workshop helps organizations learn about AWS generative AI products and services, responsible AI and AI governance, and AI readiness. AI readiness includes areas such as data access and usability. The goal is to give participants a practical understanding of both opportunity and preparedness.
Which AWS technologies are part of this offering?
The offering is built on AWS technologies including Amazon Bedrock and Amazon CodeWhisperer. In broader AWS generative AI materials, Publicis Sapient also references services such as Amazon SageMaker as part of the AWS foundation for enterprise AI. The Fast Track itself consistently highlights Bedrock and CodeWhisperer as core building blocks.
How does the AWS Gen AI Fast Track work?
The AWS Gen AI Fast Track works in two phases over four weeks. In weeks one and two, the focus is on awareness, governance, readiness assessment, and use case identification. In weeks three and four, the focus shifts to building and testing a prototype, demonstrating value, and defining a path to production.
What happens in weeks 1 and 2 of the workshop?
In weeks 1 and 2, the workshop focuses on awareness and use case identification. Participants learn about AWS generative AI products, review responsible AI and AI governance, and complete an initial AI readiness assessment that results in an AI readiness report. Publicis Sapient also runs an ideation workshop to define and prioritize use cases and select one for rapid prototyping.
What happens in weeks 3 and 4 of the workshop?
In weeks 3 and 4, Publicis Sapient builds and tests a prototype for one selected use case. The team demonstrates the prototype, defines a path to production, creates a plan for taking future use cases to MVP, and develops a roadmap for scaling generative AI within the organization. The focus is on demonstrating value within the defined timeframe.
What deliverables should buyers expect from the AWS Gen AI Fast Track?
Buyers should expect practical deliverables rather than only high-level discussion. The source materials list an AI readiness report, prioritized use cases, defined ROI and success criteria, a use case prototype, actionable next steps for implementation on AWS, and a roadmap for scaling generative AI. The workshop also defines a path to MVP for future use cases.
How does Publicis Sapient prioritize generative AI use cases?
Publicis Sapient prioritizes generative AI use cases through an ideation workshop and readiness-led evaluation. The process is designed to help organizations identify high-value opportunities and select one use case for rapid prototyping. The source materials also state that prioritized use cases include clear ROI and success criteria.
What is the role of the SPEED framework in this engagement?
The SPEED framework is the approach Publicis Sapient uses to demonstrate value quickly and shape the path to scale. In broader source materials, SPEED stands for Strategy, Product, Experience, Engineering, and Data & AI. Within the Fast Track, Publicis Sapient applies SPEED alongside its accelerators during the rapid prototype stage.
How does the workshop address responsible AI and governance?
Responsible AI and AI governance are core parts of the workshop from the start. Publicis Sapient includes them in the learning agenda and in the early assessment phase rather than treating them as later-stage considerations. The intended outcome is a more grounded path to adoption on AWS.
How does the AWS Gen AI Fast Track assess AI readiness?
The AWS Gen AI Fast Track assesses AI readiness through an initial evaluation of areas such as data access and usability. That assessment produces an AI readiness report and an action plan identifying areas to improve. The readiness work is meant to clarify what the organization needs before scaling generative AI.
What will participants have by the end of the workshop?
By the end of the workshop, participants will have a clearer understanding of common generative AI uses and benefits, AWS’s approach to responsible AI, and AWS generative AI products and services. They will also have an AI readiness action plan, prioritized use cases with ROI and success criteria, actionable next steps for implementation on AWS, and a prototype with a roadmap and MVP defined.
Why does Publicis Sapient emphasize multiple use cases and multiple models?
Publicis Sapient emphasizes multiple use cases and multiple models because organizations are likely to have many generative AI opportunities, and different models may be better suited to different problems. The Fast Track is positioned as a starting point for choosing where to begin rather than assuming one model or one use case will fit everything. That is why the engagement ends with a roadmap for scaling.
How does Publicis Sapient position the value of this workshop?
Publicis Sapient positions the workshop as a way to give organizations clarity and a path forward in a crowded generative AI ecosystem. The emphasis is on understanding where value will reside, demonstrating value quickly through a prototype, and creating a roadmap for broader adoption. The overall focus is innovation, value creation, and sustainable growth on AWS.