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A new manufacturing era “Industry 4.0” is emerging with two unique characteristics: intelligent manufacturing and integrated manufacturing. This pattern rationale with the progress of digital transformation, in which efficient manufacturing and production systems is being continuously pursued. Digital transformation initiatives generate large data sets due to massive integration of devices in internet of things (IoT) environment. This scenario demands the fastest insights to respond on time considering three key pillars: communication network evolution, digital business, and customer experience. IoT driven resiliency with traditional analytics has limited value without artificial intelligence (AI), and machine learning (ML). This study aims to explore this phenomenon of interest by conducting group discussion with software vendors. The results will helpful to utilize the power of AI and ML with analytics to leverage a large amount of data which would contribute to the success of digital transformation of organizations with real-time decision-making.
Ahmed et al. (Sun,) studied this question.