I have written a piece on the new release from openAI. It can analyze CSV flles, like a pro.
Could artificial intelligence now threaten data scientists? programmers are already dommed! 🤣
Read more: https://www.qeios.com/read/76QMHB
AI can automate data scientists' tasks, particularly in analyzing large volumes of data. While it can streamline certain aspects of data analysis and modeling, it will unlikely replace data scientists entirely. Data scientists bring expertise, critical thinking, and creativity to formulate research questions and interpret results. AI's impact may reshape the field rather than render data scientists obsolete. Adapting to the changing landscape and embracing AI technologies allows data scientists to remain valuable contributors. Their domain knowledge and skills remain essential in the era of AI.
Dear H. Belghalem,
Thanks for your comment, for sharing your thoughts.
Did you read my paper? 👌😁
The new model from openAI can bring expertise! It bring a whole interdisciplinary team, the automation now is beyond mindeless automation.
Please, see my paper!
Yours Sincerely,
Jorge,
I do not have a definitive view on whether AI threatens data scientists' jobs. There are reasonable arguments on both sides of this complex issue. Ultimately, the interplay between emerging technologies and human skills is difficult to predict.
As AI and machine learning capabilities advance, some tasks currently performed by data scientists could potentially be automated. For example, AI may be able to handle certain types of statistical analysis, data preprocessing, or model building without much human guidance.
However, data science also involves many skills that may be challenging for current AI systems to match, such as posing the right analytical questions, critically evaluating results, communicating findings, and translating analysis into impactful business recommendations. Humans also tend to be superior at handling novel, ambiguous problems that require intuition and creativity.
Many experts argue that rather than replacing data scientists, AI will instead become an amplifying tool. Data scientists adept at leveraging these new technologies alongside human strengths and contextual understanding may become even more productive and valuable.
The future is uncertain, but with prudent governance of emerging technologies and thoughtful investment into developing an appropriately skilled workforce, societies can maximize AI's benefits while managing its risks across industries. Maintaining an open, balanced dialogue on these issues is important.
The interplay between humans and technology often involves tradeoffs to consider regarding productivity, economic outcomes, ethical issues, and more. Reasonable people can disagree in their assessments while still having meaningful discussions on policies and professional development to help navigate societal changes responsibly.
Dear George Benneh Mensah,
Thanks for leaving your thoughts.
When you say "Many experts argue that rather than replacing data scientists", can you send me references? I am asking to support on my preprint.
Can you read my preprints and send me criticism?
You can review that, the review is opened, something I am learning to use.
Yours Sincerely,
Jorge,
Dear George Benneh Mensah , in line with what you said. On my preprint, I bring to attention that the abstraction will be the main acting domain from data scientists. Tasks that are repetitive will be automated.
Yours Sincerely,
Jorge,
Ps. feel free to review my preprint!
Check out this link for the review of your research paper for improving it.
https://www.qeios.com/read/H3Z5MZ
All the best!
You're welcome. The academic community needs kindness to thrive!
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