<ul><li>The end-to-end AI product journey involves several phases: ideation and validation, feasibility and scoping, data acquisition and preparation, model development and experimentation, integration and engineering, testing beyond the metrics, deployment, and monitoring, maintenance and iteration.</li><li>Phase 1: Ideation & Validation - Start with a problem rather than a technology, and determine if AI is suitable for the solution.</li><li>Phase 2: Feasibility & Scoping - Assess the potential of building the solution and address any challenges.</li><li>Phase 3: Data Acquisition & Preparation - Gather and clean the data to ensure its quality.</li></ul>

From Idea to Deployment: Managing the End-to-End AI Product Journey

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