Intelligent Edge computing refers to the development of solutions that cover the analysis of data and critical decision-making at the site where the data is generated. Intelligent Edge computing reduces latency, costs, and security risks, thus making the associated business systems more efficient. In this chapter, we will look at three use cases for Intelligent Edge computing. These three use cases cover topics relevant to sustainability and healthcare. We will cover smart building energy management systems; medical data sharing among healthcare providers; and solar energy power plant management. We will give a high-level description for each use case, describing the best practices, architecture, and system design. The objective is to design systems compliant with regulations, providing adequate security and data privacy. The architecture should be such that the system is scalable and supports interoperability with other systems and devices. The design should support industry standards and minimize the use of proprietary products and protocols.