Introduction
In an era of rapid environmental and social change, sustainability has evolved from a corporate responsibility initiative to a strategic necessity for businesses, governments and organizations worldwide. In this landscape, digital transformation and data-driven approaches are emerging as powerful enablers of sustainable development.
By harnessing advanced technologies such as artificial intelligence (AI), big data analytics, blockchain and the Internet of Things (IoT), organizations can enhance decision-making, optimize resource management and track sustainability performance with greater accuracy. These digital tools provide real-time insights that drive efficiency, improve regulatory compliance and promote accountability across industries.
This study explores the role of data-driven approaches in accelerating sustainability efforts, how organizations can leverage technology to achieve meaningful and measurable sustainability outcomes etc. As digital innovation continues to reshape industries, integrating data-driven strategies into sustainability frameworks will be key to building a more resilient and environmentally responsible future.
Learning Objectives
- To understand the role of data in driving sustainability initiatives
- To study technologies like IoT, AI, and blockchain in sustainability
- To study the best practices for managing sustainability data
- To understand various data collection techniques for sustainability
- To study tools and techniques for ensuring data quality and governance
- To understand the challenges and solutions for data storage and integration
