Type of Job:

White collar
Generative AI will change white-collar jobs by automating tasks or enhancing work. Highly-paid roles may face the most impact, while blue-collar jobs may see more demand and higher pay.

What Constitutes Artificial intelligence (AI)?

Artificial Intelligence (AI) is a technology that allows systems, whether software or machine-based, to autonomously make predictions, recommendations, or decisions that impact both real and virtual environments without the need for constant human guidance or intervention.

Sources

Author:

Giacomo Gaudenzi

Giacomo Gaudenzi

Journalist with experience in Digital Marketing, Research, and Design.

Will Data Warehousing Specialists be replaced by AI & Robots?

Data Warehousing Specialists risk of being automated:

Low

This job has a low likelihood of substantial automation within the next 20 years, placing it in the lower quartile for automation probability among occupations.

Current Degree of Automation:

35
(1-100)

Source

Key findings

GenAI is poised to enhance the role of Data Warehousing Specialists by streamlining tasks like data analysis, system evaluation, and content creation.

It will assist in complex problem-solving and decision-making processes, improving efficiency.

While it won’t completely transform the job, it will significantly augment skills such as critical thinking and programming, making tasks like system analysis more manageable.

This technology will enable professionals to focus on more strategic aspects of their work, leveraging AI’s capabilities in data processing and information retrieval.

How could AI or automation replace or complement job activities?

In the field of organizing and managing data systems, AI and automation could potentially enhance certain aspects of the work done by data warehousing specialists.

While these technologies could streamline processes like data extraction and quality verification, the intricate tasks of designing database structures and implementing comprehensive systems may still require human expertise.

For instance, AI tools could assist in data extraction procedures from various systems, improving efficiency in gathering information for analysis.

Job description

Designing, modeling, and implementing corporate data warehousing activities. Programming and configuring database warehouses and offering support to users of the warehouse.

Consequence of Making Errors

31

(1-100)

Not serious at all Source
The low consequences of errors for Data Warehousing Specialists in Human Services & Logistics don't indicate automation likelihood.

How Repetitive is the Job?

60

(1-100)

Important Source
Data Warehousing Specialists face automation risks due to their repetitive tasks. However, automation usually targets specific tasks, not entire jobs. In the future, expect certain tasks to be automated, reshaping roles but not eliminating them.
Average Anual salary USD$
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Number of profesionals in USA
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