How does data acquisition play a key role in Artificial Intelligence project cycle?

Data acquisition is a key step in the AI project cycle because it involves collecting the required, relevant and sufficient data (as per the project’s data requirements) from reliable sources such as databases, APIs, web scraping, surveys/questionnaires and sensors/IoT devices. Good-quality and accurate data helps the AI model learn correct patterns and make more reliable predictions/decisions, so the success of an AI project depends greatly on proper data acquisition.