International Conference on Cloud Computing and Artificial Intelligence
(ICCCAI-26)

28th November 2026 || Mumbai - India || Hybrid Mode

Proudly Organized by INRI

Join global experts to share ideas, connect, and innovate.
🎉 Coupon Copied Successfully!

Conference Session Tracks

The International Conference on Cloud Computing and Artificial Intelligence (ICCCAI), scheduled to be held on 28th November 2026 in Mumbai, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Artificial Intelligence.

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 – Advancements in AI Integration with Cloud Computing
    This track explores the latest methodologies for integrating artificial intelligence with cloud computing platforms. Participants will discuss the implications of such integrations for scalability and performance optimization. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 02 – Machine Learning Techniques in Cloud Environments
    This session focuses on the application of machine learning algorithms within cloud infrastructures. It aims to highlight best practices and innovative approaches for deploying machine learning solutions at scale. Aligned SDGs: SDG 4 – Quality Education  |  SDG 8 – Decent Work and Economic Growth
  • Track 03 – Intelligent Systems for Predictive Analytics
    This track delves into the development of intelligent systems designed for predictive analytics in various domains. Researchers will present their findings on enhancing decision-making processes through advanced AI techniques. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 10 – Reduced Inequalities
  • Track 04 – Data Analytics in AI-Driven Cloud Solutions
    This session addresses the role of data analytics in optimizing AI-driven cloud solutions. Discussions will center on techniques for effective data management and analysis to support AI applications. Aligned SDGs: SDG 4 – Quality Education  |  SDG 8 – Decent Work and Economic Growth
  • Track 05 – Automation Strategies in Cloud Computing
    This track examines automation strategies that leverage AI to enhance cloud computing operations. Participants will share insights on improving efficiency and reducing operational costs through automation. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 12 – Responsible Consumption and Production
  • Track 06 – AI Frameworks for Scalable Computing
    This session focuses on the development and implementation of AI frameworks that facilitate scalable computing solutions. Researchers will discuss the challenges and opportunities in creating robust frameworks for diverse applications. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 07 – Deep Learning Innovations in Cloud Applications
    This track highlights recent innovations in deep learning techniques and their applications in cloud environments. Participants will explore case studies that demonstrate the transformative potential of deep learning in various sectors. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 08 – Strategies for System Optimization in AI-Enhanced Clouds
    This session investigates strategies for optimizing systems within AI-enhanced cloud computing environments. Discussions will focus on performance metrics and optimization techniques that drive efficiency. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 12 – Responsible Consumption and Production
  • Track 09 – Scalable AI Solutions for Big Data Challenges
    This track addresses the challenges of implementing scalable AI solutions to manage big data effectively. Researchers will share innovative approaches to harnessing big data through AI technologies. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 10 – Ethical Considerations in AI and Cloud Computing
    This session explores the ethical implications of deploying AI technologies in cloud computing. Participants will engage in discussions about responsible AI practices and the societal impacts of these technologies. Aligned SDGs: SDG 16 – Peace, Justice and Strong Institutions  |  SDG 17 – Partnerships for the Goals
  • Track 11 – Future Trends in Cloud Computing and AI Integration
    This track looks ahead to future trends in the integration of cloud computing and artificial intelligence. Experts will discuss emerging technologies and their potential to reshape industries and enhance service delivery. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
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 10 SDG 10
    Reduced Inequalities
  • SDG 11 SDG 11
    Sustainable Cities and Communities
  • SDG 12 SDG 12
    Responsible Consumption and Production
  • 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