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Science and technology is a topic that encompasses science, technology, and the interactions between the two. Science is a systematic enterprise that builds and organizes knowledge in the form of explanations and predictions about nature and the universe. Technology is the collection of techniques, methods or processes used in the production of goods or services or in the accomplishment of objectives, such as scientific investigation, or any other consumer demands.
Science may drive technological development, by generating demand for new instruments to address a scientific question, or by illustrating technical possibilities previously unconsidered. In turn, technology may drive scientific investigation, by creating demand for technological improvements that can only be produced through research, and by raising questions about the underlying principles that a new technology relies on.
For the majority of human history, technological improvements were achieved by chance, trial and error, or spontaneous inspiration. When the modern scientific enterprise matured in the Enlightenment, it primarily concerned itself with basic questions of nature. Research and development directed towards immediate technical application is a relatively recent occurrence, arising with the Industrial Revolution and becoming commonplace in the 20th century.
As academic fields, science and technology are often grouped with engineering and mathematics, as the STEM fields.

Data Science::
Data Science is a comprehensive process that involves preprocessing, analysis, visualization, and prediction. On the other hand, AI is the implementation of a predictive model to forecast future events.
A Data Scientist, on the other hand, helps the company and businesses to make careful data-driven decisions. A Data Scientist is responsible for extracting data using SQL and NoSQL queries, cleaning various anomalies in the data, analyzing the patterns in data, and applying predictive models.

Data Science is a process of extracting, manipulating, visualizing, maintaining data as well as generating predictions.
A Data Scientist is supposed to have knowledge of various data operations as well as machine learning algorithms. Using Data Science, industries are able to extract insights and forecast their performance.

Science & technology is a topic that encompasses science, technology, and the interactions between the two. Science is a systematic enterprise that builds and organizes knowledge in the form of explanations and predictions about nature and the universe. Technology is the collection of techniques, methods or processes used in the production of goods or services or in the accomplishment of objectives, such as scientific investigation, or any other consumer demands.
Science may drive technological development, by generating demand for new instruments to address a scientific question, or by illustrating technical possibilities previously unconsidered. In turn, technology may drive scientific investigation, by creating demand for technological improvements that can only be produced through research, and by raising questions about the underlying principles that a new technology relies on.
For the majority of human history, technological improvements were achieved by chance, trial and error, or spontaneous inspiration. When the modern scientific enterprise matured in the Enlightenment, it primarily concerned itself with basic questions of nature. Research and development directed towards immediate technical application is a relatively recent occurrence, arising with the Industrial Revolution and becoming commonplace in the 20th century.
As academic fields, science and technology are often grouped with engineering and mathematics, as the STEM fields.

The tools of business intelligence are also limited to the analysis of management information and curation of business strategies. However, the tools of a data scientist involve complex algorithmic models, data processing, and even big data tools. While BI focuses on generating reports based on the internal structured data, Data Science focuses on generating insights out of the data.

Data Science is a field that makes use of scientific methods and algorithms in order to extract knowledge and discover insights from data (structured on unstructured). Data Analytics is the process of using specialized systems and software to inspect information in datasets in order to derive conclusions

Technology ("science of craft", from Greek τέχνη, techne, "art, skill, cunning of hand"; and -λογία, -logia) is the sum of techniques, skills, methods, and processes used in the production of goods or services or in the accomplishment of objectives, such as scientific investigation.

Computer science is the study of algorithmic processes, computational machines and computation itself.[1] As a discipline, computer science spans a range of topics from theoretical studies of algorithms, computation and information to the practical issues of implementing computational systems in hardware and software