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ARTIFICIAL INTELLIGENCE

5 min read

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Case study: Intelligent corporate search engine

Machine learning-based modern text processing models have gained increasing popularity since 2019, as these solutions can semantically interpret bulk text and find connections in it. These models can be used for automatic keyword extraction, text categorisation, text generation, or even translation. By combining all these application areas in a single complex process, software can be created that can perform a complete processing and administration task fully automatically, without human supervision. In addition, such software can further assist in manual administrative processes by gathering additional information from the Internet or internal systems for the user, saving time and effort.

Esettanulmány: vállalati intelligens keresőmotor
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About author

Gaspar Sandor Szerzo
Sándor Gáspár

Head of the Artificial Intelligence Competence Centre

Analytics - Data Solutions

Gáspár Sándor has been leading Stratis' artificial intelligence division since 2020, bringing over 20 years of experience in data science. Together with his team, he develops machine learning-powered decision support solutions for large enterprises, leveraging our clients' existing data assets. Additionally, he assists in automating our clients' existing processes using deep neural networks-based NLP and machine vision solutions.

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