Pythian
Google Cloud Generative AI MVP Implementation Guide
Pages
4
Time to read
6 mins
Publication
Language
English
Pages
4
Time to read
6 mins
Publication
Language
English
This guide outlines the implementation process for a Generative AI (GenAI) Minimum Viable Product (MVP) using Google Cloud's Vertex AI. It begins with a Design & Plan Phase lasting two weeks, where a high-value evaluation of potential GenAI applications is conducted. The guide details the identification of specific use cases relevant to the business, prioritizing factors such as data availability and organizational expertise in AI/ML. Recommendations for a high-level technical solution for the GenAI MVP are also provided. Following this, the implementation phase takes an additional two to three weeks, during which the GenAI MVP is developed using customer-selected data. The guide emphasizes the importance of documentation and demonstration of the MVP, ensuring stakeholders understand the roadmap and next steps for GenAI integration. Key outcomes include identifying suitable candidates for GenAI implementation and demonstrating the benefits of advanced analytics in achieving business objectives.