Stephen Ajwang was a Tutorial Fellow in the Department of Informatics and Information Science at Rongo University, Kenya, where he also received his MSc in Information Technology. He was also pursuing a PhD in Information Technology. His research interest lay in the realm of big data analytics for climate-smart agriculture.
The increasing volume of data and the availability of advanced technologies such as machine learning and big data analytics had revolutionized the way data was captured, processed, stored, and mined. Accordingly, almost all facets of everyday life had applied these technologies to enhance efficiency and increase productivity through the creation of seamless systems that were intuitive and capable of providing real-time, high-quality, and accessible data to facilitate decision making. It was on this basis that I intended to work on a project on leveraging big data analytics for climate-smart agriculture. The goal of this project was to develop a data lake and an information system that integrated analytics and machine learning to provide appropriate and accessible climate-based information.