India has become a member of the UN Committee of Experts on Big Data and Data Science for Official Statistics (UN-CEBD), signifying its growing influence in the global statistical community.

Highlights of India Joining UN-CEBD

• India’s Contribution: India will help shape global standards and practices for leveraging Big Data and data science in official statistics.
  • The Ministry of Statistics and Programme Implementation (MOSPI) emphasized India’s role in promoting innovative solutions in data science.
• Focus Areas: This initiative highlights India’s commitment to utilizing data and technology for evidence-based decision-making and enhancing global statistical collaboration.

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About UN Committee of Experts on Big Data and Data Science for Official Statistics (UN-CEBD)

• Origin: Established in 2014, with Australia as its first chair.
• Created to provide strategic vision and coordination for a global program on Big Data for official statistics.
• Aim : To offer a strategic direction for integrating Big Data into official statistical systems.
  • Support the development of indicators for the 2030 Agenda for Sustainable Development.
• Membership: Comprises 31 member states and 16 international organizations, including India.
• Powers and Functions
  • Integration of Big Data: Incorporate Big Data into national and international statistical systems.
    • Utilize non-traditional data sources, such as IoT devices, satellite imagery, and private sector data.
  • Capacity Building: Provide training for statisticians in data science techniques to enhance their skills.
  • Framework Development: Establish frameworks for cross-border data sharing and promote ethical practices in data utilization.
• Purpose of UN-CEBD
  • Explore the benefits and challenges of Big Data in official statistics.
  • Play a crucial role in monitoring and reporting on Sustainable Development Goals (SDGs).
  • Advocate for data-driven policymaking to address global challenges.

Significance of Joining for India

• Enhancing Statistical Capabilities: Modernize data processes by adopting IoT, satellite imagery, and private sector data sources.
• Global Collaboration: Share India’s innovations, such as the Data Innovation Lab, and adopt best practices from other nations.
• Improved Decision-Making: Enable real-time insights for policymakers to support evidence-based decisions.
  • Address key socio-economic challenges effectively with advanced data tools.

About Big Data

• Definition: Big Data refers to collecting and analyzing vast amounts of structured, unstructured, and mixed data to uncover patterns, trends, and actionable insights.
• Types of Data:
  • Structured Data: Organized data, such as inventory databases or financial transaction lists.
  • Unstructured Data: Raw data, including social media posts or videos.
  • Mixed Data Sets: Combination of structured and unstructured data, often used to train AI models like large language models.

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Applications of Big Data Analytics

• Governance: Enhances utility management, law enforcement, and education.
  • Supports predictive analytics for risk mitigation, cyber-attack prevention, and disaster impact reduction.
• Economy: Applied in insurance, banking, taxation, and anti-money laundering.
  • Improves customer service, risk management, financial analysis, and identifies tax evasion or shell companies.
• Healthcare: Enables personalized treatments, improves patient outcomes, and predicts disease outbreaks.
  • Optimizes clinical trials and enhances hospital management and patient monitoring.
• Agriculture: Facilitates data-driven farming to improve crop yields and predict plant diseases.
  • Optimizes supply chains, monitors livestock, and aids adaptation to climate change.
• Digital Space: Optimizes telecommunications and delivers personalized content.
  • Powers AI-driven appliances and wearable technology to enhance performance.
• Defence: Strengthens cybersecurity and improves mission planning.
  • Analyzes threats, supports weapon system development, and aids training through combat simulations.
• Space Technology: Monitors environmental changes and optimizes mission trajectories.
  • Manages space debris, explores exoplanets, and ensures efficiency of life support systems.

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