Integrating robust data management, predictive analytics, and Generative AI forms the cornerstone for propelling your product organization towards unprecedented levels of success. In the workshop, Successive collaborates with you to delve into real-world scenarios, share best practices, and elucidate the advantages of combining digital personas as an innovative solution to elevate customer experience capabilities within your organization.

How Does Engaging with Workshop Look Like?

Part I Discovery (½ Day): Review of AI readiness, addressing the following areas:

• Availability and quality of data for AI use cases.

• Enterprise AI policies and preparedness.

• Organizational governance of data and adherence to security standards.

• Identification of gaps in readiness to implement AI use cases.

• Organizational preparedness for AI adoption.

Part II Ideation (1-1 ½ Day): Definition of Use Cases and Platform Finalization

• Formulate high-level requirements for the most critical GenAI use cases

• Specify business outcomes and Key Performance Indicators (KPIs)

• Prioritize and delineate crucial use cases

• Design the highest-priority use case

• Evaluate the platform's readiness for AI workloads

• Develop a proposal for the incubation and pilot implementation

Key Outcomes of GenAI Ideation Workshop - Engaging in the workshop will deliver the following outcomes:

• Results from the AI readiness survey

• Identification of at least 1 business use case for GenAI solution

• Minimum Viable Product (MVP) Scope (one specific use case)

• High-level GenAI Solution Architecture based on AWS tooling and execution plan

• Backlog of Epics of the MVP scope

• Target state architectural framework encompassing Large Language Models (LLM) and AI services

• A proposal outlining subsequent implementation and engagement steps with pricing for MVP