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Beginnt 5 June 2026 09:51

Endet 5 June 2026

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한 눈에 전국 방방곡곡 사람들의 움직임 파악하기 - 지오비전퍼즐 데이터 분석 서비스

Discover how SKT's GeoVision Puzzle leverages telecom big data analytics to provide precise population movement insights and API solutions for businesses across South Korea.
SK AI SUMMIT 2024 via YouTube

SK AI SUMMIT 2024

6076 Kurse


26 minutes

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Übersicht

Discover how SKT's GeoVision Puzzle leverages telecom big data analytics to provide precise population movement insights and API solutions for businesses across South Korea.

Lehrplan

  • Introduction to GeoVision Puzzle
  • Overview of SKT and GeoVision Puzzle
    Importance of telecom big data in current analytics
  • Fundamentals of Telecom Big Data
  • Types of data collected
    Data privacy and ethical considerations
  • Understanding Population Movement Analytics
  • Key concepts and terminology
    How population movement is tracked and analyzed
  • GeoVision Puzzle Features
  • Overview of the platform interface
    Data visualization tools available
  • Applications of GeoVision Puzzle
  • Use cases in businesses and industries
    Real-world examples and case studies
  • Leveraging GeoVision Puzzle API
  • Introduction to API functionalities
    Integrating GeoVision Puzzle API into business solutions
  • Analysis Techniques and Tools
  • Introduction to data analysis methodologies
    Tools and software for analyzing population movement data
  • Advanced Analytics with GeoVision Puzzle
  • Predictive analytics and trend forecasting
    Machine learning applications in population insights
  • Practical Workshop
  • Hands-on data analysis session
    Visualization and interpretation of movement data
  • Ethical and Legal Considerations
  • Understanding data ownership and consent
    Legal frameworks governing telecom data usage
  • Conclusion and Future Directions
  • Future developments in telecom data analytics
    Emerging trends and technologies
  • Final Project
  • Develop a business case using GeoVision Puzzle insights
    Presentation of findings and recommendations

Fachgebiete

Data Science