What is the primary role of an AI practitioner?

The primary role of an AI practitioner encompasses a broader range of responsibilities that extends beyond just programming or purely technical tasks. It involves the development, implementation, and evaluation of AI models, which means that an AI practitioner must understand not only how to write algorithms but also how to structure data, select appropriate models, and assess their performance in real-world applications.

This role requires a deep understanding of the entire AI lifecycle, including problem identification, data preparation, model training, validation, and deployment. Additionally, evaluation is crucial, as it ensures that the AI model effectively solves the problem it was designed for and adapts to changing data conditions over time. This holistic approach is essential for ensuring that AI solutions are both effective and reliable in practical settings.

By focusing on the entire process rather than one aspect, the AI practitioner is positioned to create systems that integrate well into business functions and provide meaningful insights and automation.