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AI Machines: The Role of Humans In Data Analytics

The internet lit up the day ChatGPT was launched. Almost everyone across every social media platform plugged in to assess just how intelligent it was. Undoubtedly, it beat the people’s imagination and had their mouths agape with ghostly stupefaction.

Will AI displace data analysts?

I did not care a fig until he told me he had read somewhere that AI would displace data analysts. Immediately, I was invested in ascertaining how. So, I engaged ChatGPT to know what qualities of human intelligence it can demonstrate now and, quite possibly, in the future.

What is the current role of humans in data analytics?

Perhaps I expected too much. When I described what I wanted to do algorithmically, the application offered solutions in a way that made me productive, especially in discovering methods that expedited data wrangling.

Humans ask the correct questions

The part humans play in data analytics is crucial at this time because humans bring a level of context, insight, and judgment to data analysis that is essential for making informed decisions based on data.

Why AI machines cannot displace humans in data analytics

While the question is whether AI machines, like ChatGPT, have replaced humans in critical fields like data analytics, it has been shown that they cannot perform tasks such as formulating research questions, sourcing data, or conducting analysis altogether.

Formulating research questions and designing an analysis plan

For example, formulating research questions and designing an analysis plan requires a deep understanding of the domain and the specific problem or question being addressed. It also requires critical thinking and creativity to identify the appropriate data sources and the most appropriate analytical approaches to use.

What can AI machines help humans accomplish in data analytics?

Efficiency is required of a data analyst. Therefore, any skill or the combination thereof that will ensure that is certainly desirable. While AI machines cannot apply the concepts of data analytics to a specific problem — as that requires a deeper understanding of and expertise in the domain in which the analysis is done — they can ensure that data analysts are effective.

AI will make your programming and data analytics easier and more complete

AI machines can make programming that is required in data analytics easier, thereby allowing humans to concentrate their strength on interpreting and communicating the results of an analysis. These alone require both critical and analytical thinking skills, in addition to domain expertise.

How long will humans be able to perform data analytics until AI machines take over?

While machines, like ChatGPT, and algorithms can assist with certain aspects of data analytics tasks, the full process of formulating research questions, sourcing data, conducting analysis, and interpreting results typically requires the active participation and expertise of human beings.

Going forward

It looks like humans in the future will use more automated tools and systems to perform certain tasks, such as data cleaning and preparation. They will use pre-built machine learning models for predictive modeling. Does that then mean they will have a more limited role in data analytics?



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