
Automated Plausibility Checks for Large-Scale Data
Challenge:
IT departments often deal with extensive datasets, making it difficult to identify process dependencies, validate workflow consistency, and detect anomalies. Without automation, the analysis process is slow and critical data issues may go unnoticed.
Solution:
Generative AI leverages machine learning to efficiently analyze large datasets, identify patterns, validate logical process steps, and flag inconsistencies automatically. This enables real-time, scalable data quality control.
Benefits:
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Significantly reduces analysis time and manual workload
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Accelerates detection of inconsistencies in large datasets
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Frees up resources for more strategic IT and data initiatives
Data Managers
IT Controllers
BI Analysts
Banking
Insurance
Consulting
Limited Risk systems
Art. 50
with Transparency Obligations according Art. 50 EU AI Act
Disclaimer
The information provided regarding the risk assessment is without guarantee. The complete classification of a use case according to the EU AI Act depends on numerous regulatory and company-specific factors. Therefore, the risk assessment is always case-specific. The risk assessment logic of Casebase is used for this purpose.