Our comments:
Big Data Specialist
Limited impact of AI on the Job
20%
level of automation
0%
100%
This section reviews the 3 main tasks associated with the job studied and assesses the potential level of automation induced by AI ('AI Automation Impact').
The modeling uses 8 criteria detailed on the 'Methodology' page.
The modeling uses 8 criteria detailed on the 'Methodology' page.
| Tasks | AI Automation Impact |
|---|---|
| Design and implement data architectures. | Moderate |
| Analyze large volumes of data to extract insights. | Significant |
| Collaborate with business teams to meet their data needs. | Low |
Through our research, we have identified two pivotal categories of skills that will be impacted by AI-driven automation :
- 'At-risk skills,' which are likely to become obsolete due to their susceptibility to automation
- 'Future-proof skills', which are projected to retain their value and resist automation, thereby ensuring their relevance in the forthcoming job market.
| At-risk Skills | |
|---|---|
| Deploy a deep learning model | With the rise of automated machine learning (AutoML) platforms, the initial deployment of deep learning models becomes more accessible and less dependent on human expertise. |
| Identify how the organization ensures data storage and formatting | The automation of storage systems and anomaly detection systems will make this task easier in the future. |
| Future-proof Skills | |
|---|---|
| Present a detailed feasibility report, taking external parameters into account | While AI can assist in data compilation, the ability to interpret this data in a broader context, present it persuasively, and consider ethical and regulatory considerations remains a distinctly human skill. |
| The automation of storage systems and anomaly detection systems will make this task easier in the future. | If AI can identify patterns, the ability to interpret these patterns, understand their relevance in a business context, and act accordingly is a deeply human skill. |
How does AI impact this job type ?
Get the full analysis
The role of a Big Data Expert is crucial for structuring and analyzing vast datasets. While AI can automate some aspects of analysis, designing data architectures and collaborating with business teams require specific and nuanced expertise.
Therefore, despite the presence of AI tools, the potential for automation in this profession remains moderate.