Five Key Factors for Successful ML Integration in International Development

Machine learning (ML) has been a widely discussed topic in the development sector due to its potential to transform how organizations approach complex problems. The integration of ML into international development work can help organizations to make more informed decisions, reduce costs, and optimize resources. However, integrating ML into an organization's work can be a complex and challenging process. In this article, we will discuss five considerations that international development organizations can take to prepare for ML integration.