Cases in AI and Analytics
AI in Healthcare
Use of AI to process medical information and assist in structuring patient data for greater accuracy and speed in clinical test results.
Challenge: Process large-scale data on patients and increase the speed of understanding cases and obtaining important information from tests.
Solution: In addition to digitizing test data, the understanding of the content in PDF documents was facilitated through Natural Language Processing (NLP) and Optical Character Recognition (OCR), enabling data structuring.
Benefits:
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Understand patient information through a structured database history.
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Speed up the identification of anomalies and act decisively in various cases.
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Reduce operational costs associated with document analysis.
Márcio Guimarães Souza
Chief of Data and AI at Oncoclínicas Group
The Text Analysis for Health was what we needed to scale our processes and structure our clinical notes, test reports, and field analyses, which previously relied solely on manual curation. Having a solution that works in Portuguese is essential—most global solutions tend to cater only to English, neglecting other languages. The accuracy in native Portuguese has allowed us to maintain a high level of precision when analyzing unstructured texts.
AI in
Human Resources
Use of AI to select the most suitable professionals within companies for specific tasks.
Challenge: Difficulty in allocating the most suitable professionals for specific projects.
Solution: An algorithm to identify the professional with the best fit for the position, considering skills, previous experiences, and achievements.
Benefits:
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Reduced turnover.
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Increased agility in the allocation process.
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Decreased operational costs.
Data Intelligence in the Oil and Gas Sector
Application of Data Intelligence to digitize and centralize operational information across more than 17 countries to conduct analyses aimed at improving the company’s overall performance.
Challenge: Map and extract data from various reports—across different languages—to centralize data and utilize information strategically for global actions.
Solution: Creation of an application in Power BI accessible to all authorized PETRONAS Lubricants International employees, integrating data from Datalake and SharePoint.
Benefits:
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Increased accuracy in decision-making.
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Centralized data and generation of shared insights.
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Reduced operational costs.
