Technical Session

Data Science Theme: Elevating industries through transformative insights

15 May 2024 // 90 Minutes program

Overview

Geospatial World Forum 2024 shall host a 90 Minute technology program on Data Science where the discussions will be around how data science has become an essential part of many industries today, that is helping them make strategic decisions and optimize outcomes. Retail, BFSI, Construction, Energy & Utilities, Défense, all these sectors are planning to increase their spend over in the coming years to take more benefit of data analytics capabilities.

In retail, it has elevated customer experience through personalized recommendations and optimized supply chain operations. The BFSI sector benefits from data science by enhancing risk assessment, detecting fraud, and tailoring financial services to individual preferences. Construction projects are streamlined with data analytics, optimizing project management, resource allocation, and implementing predictive maintenance practices. The energy and utilities industry has seen operational efficiency improvements and effective grid management through real-time data analytics. Meanwhile, the Défense sector relies on data science for intelligence analysis, strategic planning, and cybersecurity, ensuring the secure and informed execution of military operations. The common thread across these industries lies in the power of data science to unlock insights, drive innovation, and facilitate data-driven decision-making, ultimately leading to increased efficiency, cost savings, and improved outcomes.

Session Highlights

  • Data Driven Consumer Experience
  • Edge computing for data processing
  • Data Ethics and Privacy
  • Data-as-a-Service (DaaS)
  • Future Trends and Predictions

Missed the Abstract Submission Deadline? No Worries! It's not too late to be a part of this transformative event. Reach out to us at papers@geospatialworldforum.org.

TARGET SEGMENTS

Technology providers
Platform providers
Government & policymakers
Researchers
End users
Data Scientists