Define 'big data' in the context of AI.

'Big data' refers to large and complex datasets that exceed the capabilities of traditional data processing applications to handle efficiently. In the context of artificial intelligence, big data is critical because it encompasses vast amounts of information generated from various sources, including social media, sensors, transactional data, and more. This enormous volume of data can be structured, semi-structured, or unstructured.

The ability of AI systems to learn from and analyze these large datasets allows them to uncover patterns, trends, and insights that would not be apparent through conventional methods. For instance, machine learning models often rely on big data to improve their accuracy and predictive capabilities, making them more effective in real-world applications.

In contrast, small datasets and structured data confined to relational databases do not represent the diverse and complex nature of big data. Additionally, big data often requires advanced frameworks and technologies, such as distributed computing and data lakes, to effectively store, process, and analyze the information.