GLOE stage 1: Development, PoCs, and experimentation for generative AI applications
Generative AI is opening new frontiers of innovation across industries, and the development stage is where these possibilities begin to take concrete shape. The Generative AI Lifecycle Operational Excellence (GLOE) framework offers a structured approach to this exciting phase. It guides teams from initial concept to a functional proof-of-concept (PoC). The development stage, also called the proof-of-concept (PoC) and experimentation stage, is characterized by exploration and iterative learning. It helps organizations tap into the potential of generative AI in a controlled, low-risk environment.
This stage covers the key components that make up a successful generative AI PoC. From strategic planning and prompt engineering to evaluation frameworks and technical implementation, this section provides a comprehensive roadmap for embarking on a generative AI journey. Whether you're looking to enhance customer experiences, streamline operations, or create entirely new products and services, the development stage sets the foundation for turning AI-powered ideas into reality.
Building on these foundations, this chapter is organized into three main sections:
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Architecting a successful generative AI proof of concept – This section focuses on architecting a successful PoC, covering essential elements like business value validation, data readiness assessment, and technical feasibility studies.
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Developing and experimenting with generative AI – This section delves into the hands-on aspects of development and experimentation, providing detailed insights into model selection, prompt engineering, context optimization, and systematic evaluation strategies.
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Security controls for the development stage – This section describes foundational security controls for generative AI applications in the PoC stage. It discusses threat modeling, access controls, and supply chain security.
Throughout these sections, you'll find practical frameworks and proven methodologies that have helped teams successfully navigate their generative AI initiatives. When you have finished architecting and developing your PoC, use the recommendations in the Advancing a generative AI PoC to preproduction section to determine whether to progress to the next stage.
