AI Is More Than a Model: Four Steps to Complete Workflow Success - KDnuggets

Engineers are increasingly looking to successfully integrate AI into projects and applications while attempting to climb their own AI learning curve. To tackle AI, engineers start with wanting to understand what AI is and how it fits into their current workflow, which might not be as straightforward as it seems. A simple search of "What is AI?" yields millions of results on Google, with varying degrees of technical and relevant information. Most of the focus on AI leans heavily on the AI model, which drives engineers to quickly dive into the modeling aspect of AI. After a few starter projects, engineers quickly learn that AI is not just modeling, but rather a complete set of steps that includes data preparation, modeling, simulation and test, and deployment.