Overview

Skill Level: Intermediate

Artificial intelligence and data science are two facets that are important in the management of information in this modern age of doing business.

Ingredients

Artificial intelligence and data science are two facets that are important in the management of information in this modern age of doing business. No wonder, a lot of people are interested to become a data scientist while more and more organizations are embracing artificial intelligence. They present opportunities to make sense of massive data that business is confronted with. To add, they are also necessary for being competitive in this contemporary era.

In the rest of this short post, we will explore what role artificial intelligence plays in data science. It is a fact that data scientists are using artificial intelligence, as well as machine learning, to be able to fulfill their roles. Why are they doing it? This is what we will briefly attempt to explore.

Step-by-step

  1. The Job of Data Scientists

    To understand how artificial intelligence fits in the realm of data science, it is important to have an understanding of what the latter does. Basically, the job of a data scientist entails designing and constructing innovative processes for data modeling and production. To do this, the professionals in the field use custom analysis, prototypes, and algorithms, among others. This is not to be confused with the job description of a data analyst, although, the two both deal with data.

  2. How Artificial Intelligence Helps

    By now, you should already know that artificial intelligence is a crucial component of data science. The main goal is to recreate human intelligence into computers. In turn, this can be used by data scientists to capture insights from the information that is available. They both rely on data. Nonetheless, it should be noted that data science does not rely solely on artificial intelligence, but the latter is an important component.

    In data science, the use of artificial intelligence and machine learning will be critical to drawing inferences and perceptions from information. It will help in problem-solving and in making the most out of the data that is available. While data scientists will have their own approaches on how to carry this out, in one way or another, artificial intelligence will be a key component. It can help to automate processes to change the way data is extracted and used in an organization.

  3. It is Not a Replacement to Data Scientists

    One thing that technology has done is that it instills fear that it is going to be a replacement to human functions, including the job of data scientists. However, it is important to point out that such is not the case. Artificial intelligence augments human capabilities. It makes data scientists better in what they are doing instead of replacing them. It improves the performance of analytic technologies, breaks down economic barriers, and improves understanding, among other things.

    In sum, artificial intelligence is an important component of data science. While some might view the two as completely different disciplines, they actually complement and augment each other. When these are utilized by today’s businesses, it is expected that there will be significant improvements in the way information is managed.

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