CLOUD-BASED DATA WAREHOUSING IN ENERGY & UTILITIES: LEVERAGING AI FOR SCALABLE SOLUTIONS

The energy and utilities sector is experiencing significant transformation driven by the
integration of cloud-based data warehousing and artificial intelligence (AI). This paper
explores the potential of these technologies in tackling major industry challenges, including
infrastructure modernization, energy consumption optimization, market volatility, and the
transition to sustainable energy solutions. Cloud-based data warehousing provides a scalable
platform for managing large quantities of operational and consumption data, while AI
leverages this data to deliver actionable insights. Key applications covered in this study include
predictive maintenance, demand forecasting, grid optimization, enhanced customer
experience, and energy consumption analysis. Additionally, the challenges of implementing
these technologies—such as data security, regulatory compliance, and workforce adaptation—
are addressed. The findings suggest that cloud-based data warehousing and AI present
unprecedented opportunities for operational efficiency, innovation, asset management, and
sustainability in the energy and utilities sector. This research contributes to the evolving body
of knowledge on digital transformation in critical infrastructure industries and outlines a
roadmap for future developments.