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There are many types, uses and ways of representing data.
Big data and data analytics involve extracting and processing useful information in ways that are often impossible for humans.
There are significant opportunities and dilemmas associated with data in digital society.
Knowledge Areas to know with fluency
Knowledge Areas to know with fluency
Understanding how digital data and information works in the contemporary world.
What role does data play in today's digital society
What role does data play in today's digital society
The human side of data for AI
Listen to AI Today Podcast: The Human side of Data for AI
Student listen to the Podcast:" The Human side of data for AI".
Students describe one inquiry question and answer the following questions below.
How have data change over the years?
How do user, consumer look at data?
How has bank data evolved?
How do you see Ai impact banks?
What is the difference between data and information?
Data
Data
In computing, data is information that has been translated into a form that is efficient for movement or processing. Relative to today's computers and transmission media, data is information converted into binary digital form. It is acceptable for data to be used as a singular subject or a plural subject. Raw data is a term used to describe data in its most basic digital format.
Information
Information
What is information? Information plays a vital role in just about everything we do in modern society. Information is facts, data, numbers, images, documents, sound or act of a person to be delivered to the recipient in order to explain, inform and verify that the recipient may use such information for any particular purpose. In other words, information is knowledge that derived from data, which have been transformed, interpreted, stored and used for some purposes.
What is big data?
The answer is C. As for future impact, it'd undoubtedly impact every facet of life as voluminous data continues to be systematically produced as more and more aspects of our lives gets connected(for instance: from smart homes, smart cities, transport systems, smart hospitals, airplanes to wearables etc) all generate huge data streams. As a consequence, it'll fuel manufacturing of more high end or super computers to handle the required fast processing demands we are witnessing.
How can Big Data go wrong!
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