Assoc. Prof. Gurdal Ertek,
United Arab Emirates University, UAE
Dr. Gurdal Ertek is an Associate Professor of Business Administration at United Arab Emirates University (UAEU), Al Ain, UAE. His research areas include artificial intelligence, data science, supply chain management, and project management. His work experience and international collaborations include industry, academic, and government organizations in UAE, Kuwait, USA, UK, Netherlands, Bosnia, Turkey, China, Singapore, and Australia. He has completed projects with a variety of industries, including information technology, energy, manufacturing, retail, and automotive industries. Dr. Ertek has 25+ years experience in data science, artificial intelligence, business analytics, and IT fields, and has served as a reviewer for more than 50 R&D and IT projects submitted to TÜBİTAK (Turkish National Science Foundation) and other R&D agencies.
Years of Data Science Projects: Lessons
Abstract--Big data, artificial intelligence, data mining, business analytics. These are the terms and concepts we hear almost every day. But how are these concepts related to each other? How are they alike and how do they differ? In this presentation, the answers to these questions will be explored, through examples of projects conducted in different industries. The commonality in data science projects is that the ultimate objective is analyzing data for obtaining actionable insights. Lessons learned from 25 years of data science projects and practical tips for data science project management will also be shared.