Next-Generation AI for Sustainable Analytics, Innovation and Decision-Making

Session chairs

• Dr Prashant Gupta, IIM Nagpur
• Dr Ankit Garg, AKGIM

Session Coordinators

• Ms Sonia Jaitly, ABES Business School, India
• Dr Neha Verma, ABES Business School, India
• Dr Aditi Srivastava, ABES Business School, India

SESSION DESCRIPTION:

The track “Next-Generation AI for Sustainable Analytics, Innovation and Decision-Making” focuses on the transformative role of emerging Artificial Intelligence technologies in enabling organizations to address complex sustainability challenges, drive innovation, and make intelligent, data-driven decisions. It provides a platform for researchers, academicians, industry professionals, and policymakers to explore how Generative AI, Explainable AI (XAI), Machine Learning, Deep Learning, AI agents, and other emerging AI paradigms can support sustainable economic, environmental, and social outcomes. The track particularly emphasizes the integration of AI with sustainable analytics, responsible innovation, digital transformation, and strategic decision-making. It encourages research that moves beyond AI adoption toward developing transparent, trustworthy, human-centric, and sustainability-oriented intelligent systems.

RECOMMENDED TOPICS:

Topics to be discussed in this special session include (but are not limited to) the following:

• Digital sustainability analytics and green technology strategies
• Digital twins and simulation models
• Robotic Systems, Security and Privacy in ML
• Applications of AI/ML in sustainable business analytics
• Robotic Process in Quantum Computing, Smart Bots
• Industrial IoT (IIoT) and predictive maintenance
• IoT for smart cities and healthcare

NOTE: While submitting paper in this special session, please specify [Next-Generation AI for Sustainable Analytics, Innovation and Decision-Making] at the top (above paper title) of the first page of your paper. Contact: [email protected]