Architecture Exploration: First arm of Technical Discovery Vector in AI Project Success
The AI landscape has exploded. Teams today face an overwhelming array of choices such as predictive ML, generative AI, agentic systems, each with its own subcategories, trade-offs, and use cases. Selecting the wrong architecture can doom a project before it begins. Selecting the right one requires a systematic, process-oriented approach.
In this issue of AI Project Pulse, we present the Six Investigations of Technical Discovery phase of Managing Innovative AI Projects (MIAP) framework. This edition focuses exclusively on Investigation 1: Architecture Exploration, the first am of Technical Discovery Vector. If you have missed earlier issues or want to recap the context, please refer issue 06 discussing Value Discovery, issue 07 exploring Data Discovery and issue 04 for the basic foundation of Discovery Vectors.
Architecture exploration is no longer just about choosing a model. It is about selecting an integrated stack, the right architecture for each capability, the right protocols for integration, and the right standards for governance.
Read the full article to on Architectural Exploration here.
If you are curious about Emperor’s New Algorithm, please read issue 08, well received by the readers.