Data science involves the extraction of information from data in several forms that include structured and unstructured data. This field in its process uses techniques such as mathematics, machine learning, and visualizations. This technology uses Artificial Intelligence and valued information from huge amounts of data.
There are many tools used for the analysis of big data that are used to analyze the data and provide beneficial information. It helps the organization to reach an informed and useful decision making. They collect data from various sources to provide insightful information and remove irrelevant information. It helps organizations to stay ahead of their competitors. At present every organization is using big data ranging from healthcare, education, banking, information technology and many more.
Artificial intelligence is a technology based on multiple disciplines and it includes the development of computer functions similar to human intelligence. It is a field of computer science that comprises of development of machines that can work and think and perform activities like humans. Some of the activities are like speech recognition, problem-solving, learning. We can say that it deals with building intelligent machines.
The artificially intelligent machines are capable to learn from the external data and put the learning into applications and takes decisions and achieve the pre-decided goals, in the same as a level of human intelligence.
This technology has a very wide application in several sectors. Some of them are explained below.
Both of these technologies can work very effectively. The big data process the volumes of data and from various sources, here artificial intelligence uses this volume of data to study and learn from the pattern and structure so that the machines can learn and evolve. Although both Big data and artificial intelligence are different they can go hand in hand for development and improvement in the future systems.