Understanding Proof of Concept in AI

A proof of concept is a project that tests the capabilities of a specific technology or concept to determine its feasibility. It is typically carried out in a controlled environment with limited data that does not expose the project to real-world complexities. However, AI proof of concepts often have high failure rates and low adoption in real-world applications because they are not tested with real-world data and may not address actual business needs. It is recommended to focus on solving real-world problems and avoiding proof of concept projects in AI.