Real-time data is revolutionizing manufacturing, enabling new levels of innovation and the rise of smarter factories. According to a report from Fortune Business Insights, global big data spending in the manufacturing industry was US$3.2-billion in 2018 and is projected to reach $9.1-billion by 2026. Edge computing, artificial intelligence/machine learning and streaming analytics are being used to collect and translate data from sources such as cameras, sensors, machines and assembly lines. AI can advance the manufacturing industry by processing massive data sets and returning insights in near real time.
