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Will the role of Data Scientists to minimise due to ChatGPT ?


By VARINDIA - 2023-07-24
Will the role of Data Scientists to minimise due to ChatGPT ?

Today, more and more organizations are opening up their doors to big data and unlocking its power—increasing the value of a data scientist who knows how to tease actionable insights out of gigabytes of data. Data scientists are the professionals who are trained to collect, analyze, and interpret this data.

 

There is growing importance of data scientists is due to the increasing amount of data that is being generated. In today's world, businesses are collecting more data than ever before. This data can be used to gain insights into customer behavior, identify trends, and make better decisions. Data scientists bring a unique combination of domain expertise, critical thinking, creativity, and ethical considerations, making them indispensable in data science.

 

Every day, businesses are generating terabytes or even petabytes of data. This data can be used to gain insights into customer behavior, identify trends, and make better decisions. As the amount of data being generated continues to grow, the demand for data scientists will only increase. But expert says, with the arrival of ChatGPT, the role of Data Scientists are going the minimise.

 

Data scientists are responsible for ethical data usage and addressing potential biases or discrimination in the analysis. They are well-versed in privacy regulations, data governance, and ethical frameworks. While AI models can assist with identifying possible preferences, the final responsibility lies with data scientists to make moral decisions and address these issues appropriately.

 

The tech pundits feels that, it is unlikely that ChatGPT will replace data scientists. Data scientists have the skills and experience that ChatGPT does not yet have. They are trained in data science techniques, they are able to understand and analyze data, and they are able to communicate findings to others.

 

FINALLY, ChatGPT have the potential to augment and support the work of data scientists, but they are likely to replace them partially.

 

S Mohini Ratna, Editor, VARINDIA

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