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This article discusses the various innovations that are driving the technology industry, such as edge computing, deep learning models, sensor fusion techniques, natural language processing, and speech recognition. It also outlines the S-shaped curve that reflects the typical lifecycle of an innovation from early emergence to accelerating adoption and maturity. According to GlobalData’s Technology Foresights, there are over 300+ innovation areas that will shape the future of the industry, with finite element simulation, ML-enabled blockchain networks, and generative adversarial networks being some of the disruptive technologies in the early stages of application.
