• Blog

Big Data for Sustainable Development

  • Source : UN
  • 1 August 2018
This blog discusses the role of big data in advancing sustainable development. It highlights how big data applications in sectors such as agriculture, health, and disaster response are driving progress towards addressing global challenges. By using satellite imagery, mobile data, and real-time analytics, governments and organizations can address food security, climate change, and healthcare access more effectively. It also underscores the importance of responsible data governance and international cooperation in realizing the full potential of big data.
  • Media Article

Data Science Drives Seed Breeding

  • Source : Seed World
  • 1 January 2021
This article highlights how data science is revolutionising seed breeding by incorporating genomic data, machine learning, and precision phenotyping. These technologies allow for faster identification of desirable traits, reduce breeding cycle time, and enhance climate resilience. The use of predictive analytics enables selection of high-yield varieties with greater efficiency, helping farmers respond to environmental variability. The article underscores the potential of big data in agriculture to transform crop improvement and boost global food security.
  • Media Article

Big Data as a Tool to Improve Air Quality

  • Source : CEPEI
  • 1 October 2021
This article discusses the use of big data in improving air quality. It covers how real-time monitoring systems and data analytics tools track pollution levels and help decision-makers develop strategies for better air quality management. Big data provides valuable insights into pollution trends, allowing for the formulation of policies that address environmental concerns. It also emphasizes the integration of big data into urban management systems, promoting cleaner air and public health outcomes.
  • Blog

Big Data and Analytics for Infectious Disease Research Operations and Policy

  • Source : National Academies of Sciences, Engineering, and Medicine
  • 23 July 2025
This blog focuses on the critical role of big data and analytics in improving infectious disease research, operations, and policy-making. By leveraging vast data sets, healthcare professionals can better track disease patterns, identify risks, and predict outbreaks. It highlights how advanced analytics can optimize resource allocation, improve health responses, and shape policies for more efficient and effective disease management, helping mitigate global health threats. The report also discusses the importance of data sharing and collaboration among global health organizations to address future epidemics.
  • Blog

Big Data Analytics Could Reduce Power Grid Outages

  • Source : Texas A&M University
  • 1 May 2019
This article discusses the role of big data analytics in reducing power grid outages. By integrating real-time monitoring and predictive maintenance techniques, the power grid’s efficiency can be significantly improved. The use of advanced analytics helps detect potential failures before they cause outages, ensuring better resource management and operational efficiency. This, in turn, leads to reduced downtime and enhanced grid reliability. The article emphasizes the role of predictive maintenance in preventing power interruptions, ultimately making energy distribution more reliable and cost-effective.
  • Blog

Big Data Analytics and Artificial Intelligence in Mental Health

  • Source : WHO Europe
  • 1 December 2022
This blog explores the growing impact of big data analytics and artificial intelligence (AI) in mental health care. It outlines how AI can assist in diagnosing mental health conditions, personalizing treatment, and predicting long-term mental health outcomes. The blog also highlights the ethical and technical challenges of adopting AI in health systems, including concerns over data privacy and inclusivity. The article underscores the transformative potential of AI and big data in improving mental health care delivery and patient outcomes.
  • Media Article

Big Data Analytics Aids Anti-trafficking Efforts

  • Source : Cisco Newsroom
  • 1 May 2017
This article examines how big data analytics is used to aid anti-human trafficking efforts. The focus is on how organizations, like My Choices Foundation, leverage big data to track trafficking patterns, identify high-risk areas, and prevent trafficking activities. By utilizing analytics, the foundation enhances its ability to detect and disrupt human trafficking networks. This approach highlights the power of data science in supporting social causes and improving the effectiveness of prevention efforts in combating human trafficking.
  • Media Article

Application of Data Science in the School Education Sector

  • Source : Analytics India Magazine
  • 1 September 2021
This article examines how data science is being applied to transform the school education sector. It discusses the role of digital tools and analytics strategies that are improving learning outcomes, streamlining administrative processes, and promoting a data-driven culture in educational institutions. The article further highlights the positive impact of advanced analytics on driving efficiency and fostering innovation in schools, through practical case studies.
  • Media Article

Ama Krushai: AI Chatbot for Farmers in Odisha

  • Source : Krishi Jagran
  • 1 February 2023
Ama KrushAI, an AI-powered chatbot launched by the Odisha government, offers personalised agricultural advisory services to farmers. The chatbot provides real-time information on weather, market prices, pest management, and government schemes, assisting farmers in making informed decisions. The initiative exemplifies how digital innovations can enhance agricultural extension services and strengthen rural livelihoods. By integrating AI into farming practices, the service boosts productivity, ensuring that farmers in Odisha are better equipped to face agricultural challenges.
  • Case Study

AI Predicts School Dropouts in Andhra Pradesh

  • Source : IndiaAI
  • 1 August 2019
This case study demonstrates the use of AI to predict school dropout rates in Andhra Pradesh. By utilizing predictive analytics, the AI system identifies at-risk students and helps intervene early to reduce dropout rates. The study highlights how data science can enhance educational outcomes by providing timely interventions that target students who need support. Through accurate predictions, educational authorities can ensure better retention and support for students, promoting higher education rates in the region.
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