BCS Ethical AI Foundation Course Flashcards
What is data?
Data is the raw, unprocessed facts and figures that are collected for analysis. It can take various forms such as numbers, words, images, and videos. For example, the outcome of a survey like “5 million people live in area A” constitutes data.
What is unstructured data?
Unstructured data includes things such as images and videos.
What does data represent in an organization?
In an organization, data can be anything from the number of customers it has served that day, the current price of raw materials, its current share of the market, to even the feelings expressed by its staff.
What is Information?
Information is data that has been processed, organized, or structured in a way that it’s meaningful and useful. Information is derived from raw data after it has been analyzed or interpreted. For example, “55% of the area’s population do not like living there because of insufficient transport links.”
What is Knowledge?
Knowledge is the insight, understanding, or learning gained from the analysis of information. It’s the deep, valuable understanding that allows us to make informed decisions and solve problems. For instance, “Many people do not like living in area A due to insufficient transport links, which may also mean fewer job opportunities.”
What is the value of data, information, and knowledge?
The value lies in their ability to guide actions and decisions. They can help in planning solutions to problems, like improving transport links based on the collected data, processed information, and gained knowledge.
What is the difference between data and information?
Data refers to raw, unprocessed facts and figures collected for analysis, while information is the meaningful output derived from the processing and interpretation of data.
How can data, information, and knowledge be used in problem-solving?
They can be used to understand the root cause of a problem (like dissatisfaction among residents due to poor transport links) and plan appropriate solutions (like investing in better transport links). The data provides the raw facts, the information presents a clear picture of the situation, and the knowledge guides the decision-making process.
How is knowledge obtained?
Knowledge is obtained through further analysis and interpretation of information. It’s the result of understanding the patterns, trends, and insights that information presents, enabling informed decision making.
How can the terms data, information, and knowledge be distinguished in a practical context?
Data is the raw input (like survey results), information is the processed and interpreted data (like the percentage of people dissatisfied with transport links), and knowledge is the deeper understanding gained from the information that can guide actions and decisions (like the need to improve transport links).
What is Quantitative data?
Quantitative data is numeric data that can be counted, measured or expressed using numbers.
What are the two types of Quantitative data?
Discrete and Continuous.
What is Discrete data in the context of Quantitative data?
Discrete data is the count of something where only whole numbers are allowed, for example there are 15 restaurants in area A, and 12 restaurants in area B.
What is Continuous data in the context of Quantitative data?
Continuous data is a value (or set of values) based on a continuous form of numerical data, where any value in range is allowed. It is often used in the measurement of something. For example, the distance between two places is 10.3 miles or the average time it takes to travel from place A to E is 1.25 hours.
What is Qualitative data?
Qualitative data is descriptive and can sometimes be referred to as “categorical” data.
