Curtain-Raiser
Insights from eminent experts on AI, sustainability, technology and industry transformation.

Industry–Academia Conclave 2.0 bringing together researchers, industry leaders, technology experts, startups, students and innovators to explore AI-driven solutions for global sustainability challenges.

A focused platform for meaningful exchange between academia and industry, with sustainability at the center and AI as an enabling force.
Insights from eminent experts on AI, sustainability, technology and industry transformation.
Build meaningful connections across institutions, companies, startups, researchers and innovators.
Exchange ideas on responsible AI, sector challenges, emerging technologies and sustainability.
Discover ideas and prototypes emerging from the Ideathon and Hackathon pathways.
Recognized in subject positioning for Computer Science & Information Systems.
State-of-the-art labs and centers of excellence spanning AI, data science, cybersecurity, IoT, blockchain and related technologies.
Research and applications across AI, ML, Big Data, Cloud Computing and next-generation technologies.
Faculty and researchers include globally recognized scientists contributing to research and innovation.
Collaborations with leading industries and research organizations for knowledge transfer and impact.
Future-ready graduates equipped with technical skills, innovation mindset and industry exposure.
Explore AI opportunities across human wellbeing, resilient infrastructure, environmental intelligence and inclusive innovation.
AI-driven solutions for better diagnosis, personalized treatment and accessible health services.
Smart and sustainable farming, food security, precision agriculture and resilient production.
Geospatial AI for monitoring, disaster management, urban planning and resource management.
A concise introduction to the Conclave, VIT and SCORE—the ecosystem behind SustainAI 2026.
Industry–Academia Conclave 2.0 focused on the transformative role of AI in advancing the UN Sustainable Development Goals.
A globally oriented academic ecosystem committed to excellence in teaching, research, innovation and international collaboration.
The School of Computer Science Engineering and Information Systems advances AI, software, data and emerging technologies through research and industry engagement.
Meet experts, exchange ideas, form collaborations and create AI solutions that can move beyond prototypes into meaningful real-world impact.
Contact the Organizing Team