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sertanlavr [38]
3 years ago
10

What is the relationship between data, information, business intelligence, and knowledge?

Computers and Technology
1 answer:
Tpy6a [65]3 years ago
7 0

Answer:

The answer is below

Explanation:

Given the following:

Data is oftentimes described as actual truth or evidence about a situation or condition.

Information, on the other hand, is described as a refined data

Business Intelligence is defined as a combination of several information utilized in the decision-making process.

Knowledge is basically described as a form of intellectual properties, which encompasses a lot of experiences, skills, and creativity.

Therefore, the main relationship between all these is the utilization of these resources to enhance and improve the decision-making process. This is because, the gathered DATA is converted to INFORMATION, which in turn used to build BUSINESS INTELLIGENCE and finally, through the combination of past experiences, skills and talent, leads to a wealth of KNOWLEDGE to enhance and improve the decision-making process.

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Answer:

A. Big Data

Explanation:

It is big data. The internet searches, customer transactions, social media posts, medical tests, weather sensors, military surveillance, and all the data source you are seeing around yourself forms together with the big data. And a big social media company gathers around so many petabytes of data each day. And there are so many such companies, plus all sorts like eLearning sites, etc. And all these together form the big data.

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4 years ago
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Which of the following represents knowledge as a set ofâ rules? A. Neural networks.B. Machine learning systems.C. Robotics.D. Ex
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Answer:

D. Expert systems

Explanation:

Artificial intelligence (AI) also known as machine learning can be defined as a branch of computer science which typically involves the process of using algorithms to build a smart computer-controlled robot or machine that is capable of performing tasks that are exclusively designed to be performed by humans or with human intelligence.

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In artificial intelligence (AI), the field of expert systems is the most important applied area because it models human knowledge.

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Although, all expert systems are generally lacking in human capabilities and can only use inference procedures to proffer solutions to specific problems that would normally require human expertise or competence.

Some of the areas where expert systems can be applied are; monitoring, diagnosis, scheduling, classification, design, process control, planning, etc.

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