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A wave of digital transformation of industries has started around the world. Digitalization is the foundation, network-based connectivity is the support, and intelligence is the goal. Digital transformation is to generate data from people, things, environments, and processes through digitalization, realize valuable data flow through network-based connectivity, and use data as an essential production factor for creating both economic and social value in various industries through intelligence. With smart analysis of data as the basis, intelligence implements smart decision-making and operation, and achieves continuous, intelligent optimization of the business process through closed-loop control.
Intelligence technologies represented by Big Data, machine learning, and deep learning have been used in applications such as speech recognition, image recognition, and user profiling, and have seen significant progress in terms of algorithms, models, and architectures. Industries such as manufacturing, power, transportation, healthcare, and agriculture have begun to apply such technologies, which has created new requirements and challenges to intelligence technologies. The industry intelligence era has arrived.