The introduction of the deep Learning (DL) approach to machine learning has led to incredible developments in artificial intelligence (AI) over the past few years, attracting interests from cloud computing and semiconductor chip businesses. According to TrendForce’s latest research on AI, the three forces that drive advances in machine learning are software, hardware and data. AI systems based on DL requires vast amounts of data to train their abilities such as identifying objects and processing requests. Therefore quantity and quality of data directly affects AI systems’ accuracy. As cloud and software platform companies compete to bring AI solutions for different applications, ownership and access to data will become crucial to their strategies.