- Data collection:
The primary goal of Data Science is to solve a particular problem. The data is collected by using statistics and advanced mathematics, which represents how the problem has arisen and what is the solution for the problem. When compared with Artificial Intelligence, Artificial Intelligence makes use of computer algorithms to predict the events that may occur in the future. AI always keeps collecting the data for analysis and keeps track of the trend changes.
- Learning techniques:
Machine learning is included in Artificial Intelligence, which helps in understanding and learning the data, and keeps initiating the predictive behaviors. Deep learning is based on the learning that copies or acts as per the human brain operations, which is also a subset of machine learning. With this, Artificial Intelligence helps in getting better results. When it comes to Data Science, Data Science makes use of data for analysis purposes. In this process, the data will be divided and organized, allowing the users to make the right decisions.
- Decision making:
Artificial algorithms are used to create the events like humans act. In Artificial Intelligence, deep learning and machine learning are used to learn and predict behavior, allowing us to make predictive decisions based on the results. Chatbots on websites are the best example. In contrast to Data Science, Artificial Intelligence is capable of making its own decisions and acting as required.
- Application areas:
In Data Science, there is a high opportunity to make better decisions by identifying the improvement areas or the areas that require modification. Data Science is now being used in multiple industries like healthcare, cybersecurity, etc. In contrast, Artificial Intelligence is capable of reading queries on the search engines like google, bing, yahoo, etc. AI holds the prediction behavior, which makes it popular in industries like robotics, eCommerce, IT, and many more.
For more detail information visit here Artificial intelligence vs Data Science,