How does the emergence of CDGP certification|ChatGPT impact the data governance industry?

The emergence of ChatGPT has many benefits for data governance, the most obvious of which is to provide more efficient, more accurate and more automated data processing and analysis services, which can help enterprises and organizations better manage and utilize data resources, improve data quality and decision-making efficiency. In addition, ChatGPT can also discover information and trends hidden in large amounts of data, providing better future development strategies for enterprises and organizations.

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Of course, the emergence of ChatGPT may also have some potential risks and challenges. For example, if the accuracy of the ChatGPT algorithm is not high, it may lead to misjudgment of the data analysis results, thereby affecting the decision-making and operation of enterprises and organizations.
In addition, the use of ChatGPT needs to consider issues such as data privacy and security to avoid leaking sensitive information or being attacked by hackers.
In short, the emergence of ChatGPT provides more opportunities and challenges for data governance, requiring enterprises and organizations to strengthen their grasp of its technology application methods and reasonably evaluate its risks and benefits.

Affected Data Governance Jobs

Data classification and labeling personnel: ChatGPT can be used for data classification and labeling data, so some tasks that require manual classification and labeling may be automated.
Data entry personnel: ChatGPT can recognize text fields in forms and auto-fill form data. Might reduce the need for some data entry staff.
Automated test engineers: ChatGPT can automatically test and verify the accuracy and quality of natural language text, which may reduce the need for some automated test engineers.

Temporarily unaffected data governance jobs

Data collectors: Data collectors are professionals who are responsible for collecting and curating data, and they can use various tools and techniques to obtain data from different sources such as social media, sensors, websites, etc.
Data stewards: Data stewards are professionals responsible for managing data. They can be responsible for formulating data management strategies, developing data security measures, ensuring data quality, monitoring data processes, etc.
Data Analyst: A data analyst is a professional who analyzes data by using a variety of tools and techniques to identify trends, correlations, and anomalies, as well as uncover insights and trends behind the data.

How to deal with the powerful impact of ChatGPT?

ChatGPT is really powerful and has to be convinced. But its limitations are also obvious, that is, it lacks creativity and imagination. It cannot "really" create new things, but only "repackages existing information and knowledge" through a lot of content training. It does not mean that it knows everything, the rapid development of AI will only promote the continuous progress of human beings and make themselves better!
So don't panic, it's useless to panic, go learn more professional knowledge, and only then can you truly create and open up new areas of knowledge! For example, starting from taking a certificate DAMA-CDGA/CDGP recognized by the data management industry, you can not only prove your skill level, but also learn the cutting-edge data management knowledge system in the industry, accumulate more practical experience in data governance, and contribute to the development of data. Lay the groundwork for a new blueprint for governance and inspire new directions for progress.

Application conditions

Data Governance Engineer CDGA: Acquired a junior college degree or above, and is committed to engaging in big data-related industries;
Data Governance Expert CDGP: (*First obtain a CDGA certificate before applying for CDGP)
(1) Ph.D. degree holders;
(2) After obtaining a master's degree , Those who have been engaged in IT-related work for more than 1 year;
(3) Those who have been engaged in IT-related work for more than 3 years after graduation;
(4) Those who have been engaged in IT-related work for more than 5 years after graduating from a junior college.

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Origin blog.csdn.net/hb15302782362/article/details/130263433