The article emphasizes that effective AI development starts with a solid grasp of data, its quality, and the supporting infrastructure. Even though AI systems can perform tasks such as image recognition and language understanding, their success hinges on robust data pipelines and proper data management. Preparing data and infrastructure is therefore essential before building AI models.