{"id":3492,"date":"2026-08-10T10:59:49","date_gmt":"2026-08-10T08:59:49","guid":{"rendered":"https:\/\/itsonix.laolaweb.com\/?page_id=3492"},"modified":"2026-09-01T10:54:59","modified_gmt":"2026-09-01T08:54:59","slug":"ai-assisted-data-classification","status":"publish","type":"page","link":"https:\/\/itsonix.eu\/en\/leistungen\/kuenstliche-intelligenz\/ki-gestuetzte-datenklassifizierung\/","title":{"rendered":"AI-powered data classification"},"content":{"rendered":"
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AI-powered Data Classification<\/h1>\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t\tAutomated Classification of Structured Data Sets in the Public Sector<\/span>\t\t\t\t<\/div>\n\t\t\t\t
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A public contracting authority faced the challenge of accurately classifying large volumes of structured data while ensuring that all information used in the data classification process was treated confidentially.<\/p>

To this end, IT Sonix trained a machine-learning model that significantly reduces manual work, ensures data quality, and reliably supports legal requirements. The AI-based data processing rapidly accelerated processes at the client\u2019s organization that had been in place for years.<\/p>

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Key Areas of Cooperation<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t\tChallenge: Since the data classification had to be handled confidentially, special emphasis was placed on the solution's data security.<\/span>\t\t\t\t<\/div>\n\t\t\t\t
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Until now, classification had been performed entirely manually using the dual-control principle. This approach was time-consuming, costly, and difficult to scale. The client therefore wanted to integrate a cost-effective solution for AI-based data processing into its workflows that could be implemented as quickly as possible. The biggest challenge for the client was precisely distinguishing between corporate data and personal data.<\/p>

This classification is essential for downstream processes, particularly with regard to data protection and anonymization requirements. The existing data came from various sources, was sometimes inconsistent, and was of only moderate quality. The goal of the collaboration with IT Sonix was therefore to automate the initial data classification without compromising the high level of technical and legal certainty. At the same time, the manual effort was to be reduced by at least half.<\/p>

Key factors:\u00a0<\/strong><\/p>