International Conference on Predictive Analytics and Big Data
(ICPABD-26)

15th November 2026 || Pondicherry - India || Hybrid Mode

Proudly Organized by INRI

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Conference Session Tracks

The International Conference on Predictive Analytics and Big Data (ICPABD), scheduled to be held on 15th November 2026 in Pondicherry, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Big Data.

Each track offers researchers, academicians, industry professionals and practitioners a platform to present their work, exchange ideas and explore the advancements shaping the future of the domain. Every track is curated to encourage knowledge sharing, collaboration and meaningful discussion.

All Session Tracks
  • Track 01 – Innovative Approaches in Predictive Analytics
    This track focuses on novel methodologies and frameworks in predictive analytics that enhance decision-making processes. Contributions should explore innovative algorithms and their applications in various engineering domains. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 02 – Machine Learning Techniques for Big Data
    This session will delve into advanced machine learning techniques specifically designed for handling large datasets. Papers should highlight the effectiveness of these techniques in extracting meaningful insights from big data. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 03 – AI-Driven Insights for Engineering Applications
    This track invites research on the application of artificial intelligence in generating actionable insights within engineering contexts. Submissions should demonstrate how AI methodologies can optimize engineering processes and outcomes. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 04 – Data Mining Strategies for Enhanced Decision-Making
    This session aims to explore data mining strategies that facilitate improved decision-making in engineering practices. Contributions should present case studies or theoretical advancements that showcase the impact of data mining. Aligned SDGs: SDG 4 – Quality Education  |  SDG 16 – Peace, Justice and Strong Institutions
  • Track 05 – Intelligent Systems and Their Impact on Industry
    This track examines the role of intelligent systems in transforming industrial processes through big data analytics. Papers should discuss the integration of intelligent systems and their implications for efficiency and innovation. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 06 – Data Visualization Techniques for Complex Data
    This session focuses on innovative data visualization techniques that enhance the interpretation of complex big data. Contributions should demonstrate how effective visualization can lead to better insights and understanding. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 07 – Forecasting Models in Engineering Applications
    This track invites research on the development and application of forecasting models in various engineering fields. Papers should highlight the accuracy and reliability of these models in predicting future trends and behaviors. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 13 – Climate Action
  • Track 08 – Data Integration Challenges and Solutions
    This session addresses the challenges associated with data integration in big data environments. Contributions should propose solutions that enhance the interoperability and usability of diverse data sources. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 17 – Partnerships for the Goals
  • Track 09 – Optimization Techniques in Data-Driven Systems
    This track explores optimization techniques that leverage big data for system performance enhancement. Papers should focus on methodologies that improve efficiency and effectiveness in engineering systems. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 10 – Innovation Strategies in Data-Driven Decision-Making
    This session examines innovative strategies that utilize data-driven decision-making in engineering contexts. Contributions should showcase how these strategies can lead to significant advancements and competitive advantages. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 11 – Scalable Computing Solutions for Big Data Challenges
    This track focuses on scalable computing solutions that address the challenges posed by big data. Papers should discuss architectures and technologies that enable efficient processing and analysis of large datasets. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
Alignment with the Sustainable Development Goals
Alongside its academic focus, the conference promotes responsible research, ethical practice and knowledge-driven development. Its session tracks collectively contribute to the following United Nations Sustainable Development Goals.
  • SDG 4 SDG 4
    Quality Education
  • SDG 8 SDG 8
    Decent Work and Economic Growth
  • SDG 9 SDG 9
    Industry, Innovation and Infrastructure
  • SDG 12 SDG 12
    Responsible Consumption and Production
  • SDG 13 SDG 13
    Climate Action
  • SDG 16 SDG 16
    Peace, Justice and Strong Institutions
  • SDG 17 SDG 17
    Partnerships for the Goals

Need Assistance?

If you need any clarification on the session tracks or support with your submission, please feel free to reach out to us:

Email: [email protected]

Phone: +91 9677007228