Professor Nilsson defined artificial intelligence as: "Artificial intelligence is the science of knowledge—how to represent knowledge and how to acquire and use knowledge." Professor Winston of MIT, on the other hand, believes that: "Artificial intelligence is the study of how to enable computers to do intelligent tasks that were previously only possible for humans."
Artificial intelligence (AI) is a form of computing that allows machines to perform cognitive functions, such as acting on or reacting to input, much like humans. Traditional computing applications also react to data, but both reactions and responses must be manually coded. If any type of error occurs, such as an unexpected outcome, the application cannot react. AI systems, however, constantly change their behavior to adapt to changes in the findings and modify their responses.
Big data refers to data sets that cannot be captured, managed, and processed within a certain timeframe using conventional software tools. It represents massive, rapidly growing, and diverse information assets that require new processing models to achieve stronger decision-making, insightful discovery, and process optimization capabilities. Big data uses data as its core resource, collecting, storing, processing, analyzing, applying, and displaying the generated data to ultimately realize its value.
Big data is a form of traditional computing. It doesn't act on results, but rather seeks results. It defines very large datasets, but can also be extremely diverse. Big data sets can contain structured data, such as transactional data in relational databases, as well as structured or unstructured data, such as images, email data, sensor data, etc.
They also differ in their usage. Big data is primarily used to gain insights; for example, Netflix can learn about movies or TV shows based on what people watch and recommend content to viewers. This is because it considers customer habits and the content they like, inferring that customers might have similar feelings.
One of the more obvious differences between big data and artificial intelligence is that big data is raw input that needs to be cleaned, structured, and integrated before it can be used, while artificial intelligence is different; it is output, that is, the intelligence generated by processing data. Therefore, it can be seen that there is a fundamental difference between the two.
Big data is a relatively traditional form of computation; it simply seeks results. Big data datasets can contain structured data, such as data from a relational database, as well as structured or unstructured data, such as email data, sensor data, and so on.
Artificial intelligence is a form of computing that enables machines to perform cognitive functions, such as responding to input, somewhat similar to how humans do it. Traditional computing applications also work with data, but the responses are always manually coded. If any error occurs, much like an unexpected outcome, the application cannot respond. However, artificial intelligence systems are constantly changing their behavior to adapt to changes in the findings and modify their responses.
Although big data and artificial intelligence are quite different, they can still work well together. This is because artificial intelligence needs data to build its intelligence, especially machine learning. For example, machine learning image recognition applications can look at tens of thousands of aircraft images to understand the structure of aircraft so that they can be identified in the future.
In summary, big data and artificial intelligence are two independent technologies. Big data mainly involves mining core data, while artificial intelligence mainly involves understanding the essence of intelligence and producing a new kind of intelligent machine that can react in a way similar to human intelligence.
Data analysis, big data analysis, and artificial intelligence are closely related. Data is one of the three foundations of artificial intelligence (the other two being algorithms and computing power), and human beings' ability to understand and interpret data has greatly promoted the development of artificial intelligence technology.
