Data Analytics: the Role of a Data Analyst in the AI Age
[Spoiler Alert: I generated this article, above title included, using ChatGPT from OpenAI. When it starts putting you to sleep, skip to the bottom]
https://openai.com/blog/chatgpt/
As the world continues to adopt artificial intelligence (AI) in various ways, the role of data analysts is becoming increasingly important. Data analysts are responsible for collecting, analyzing, and interpreting data in order to identify key trends and insights that can be used to inform decisions.
Today, data analysts are playing a critical role in driving business decisions. By leveraging large datasets, they are able to uncover meaningful patterns and relationships that can be used to inform decisions. From marketing to product development, data analysts are helping organizations make informed decisions that result in better outcomes.
But the role of data analysts is changing in the age of AI. AI is becoming increasingly capable of analyzing data in ways that are faster and more accurate than humans. As a result, data analysts are being asked to focus more on understanding the implications of the data they analyze, rather than simply crunching numbers.
Data analysts are now being asked to use their understanding of the data to identify potential opportunities and risks. They are expected to provide guidance on the best course of action based on their analysis. This means that data analysts must have a deep understanding of the data, as well as the business context.
The role of the data analyst is also changing in other ways. AI-driven technologies are making it easier for data analysts to access and analyze data from multiple sources. This allows them to identify patterns and relationships in data that may have been missed before.
As AI continues to evolve and become more capable, the role of the data analyst will continue to change. Data analysts must stay ahead of the curve by deepening their understanding of data and developing new skills that will help them to better understand the implications of their data.
The future of data analytics is an exciting one and data analysts are in prime position to capitalize on the opportunities that AI presents. With the right skills and knowledge, data analysts will be able to make a significant contribution to the success of their organizations.
The entire post above was completely generated by ChatGPT.
This is the prompt I submitted:
Write a sample blog post for an analytics professional’s personal website. Discuss the role of the data analyst today and how AI will change that role in the future. Include a catchy title.
What’s the point?
Granted, most of the article above is pure gobbledygook. But it’s written well enough so that’s not really apparent until you read a few paragraphs. Much like the rest of the internet. The digital world seems to already be rapidly devolving into wasteland of low quality click-bait content. Will AI help connect us with high quality sources? Or will it drown us in drivel? Maybe I should ask ChatGPT.