Digital Transformation with IoT and AI: Examples & Guidelines

Industry 4.0 is upon us. The Fourth Industrial Revolution, as it is often called, is the digital transformation of manufacturing processes to improve value creation in the face of increasing consumer demands. The tilt towards digital transformation began in the 70s when the seeds of IoT were sown. At the time, edge devices were controlled by sensor data. Fast forward 50 years and digitalization has found its way into business processes with innovations such as cloud systems, AI, and smart automation leading the charge. Successful digital transformation of manufacturing can be attributed to: Borderless penetration of technology. We live in a world where innovative creation is for all comers. Amazon’s AWS allows businesses to access its cloud suite. Microsoft’s Power Platform supports coding from civilians. Also, developers with basic machine learning expertise in machine learning can use Google’s Cloud AutoML to train reliable models for their business concerns. Cheaper data storage. Data collection and processing is a near-effortless exercise. The ease of data handling creates an avalanche of data required to enhance the preciseness of ML protocols. Even better is how easily businesses can purchase data to train algorithms more efficiently.










