Big data generated by sensors account for a large portion of the benefits that smart, connected products (SCP in the scheme) may provide. Sensors (either physically attached to smart things or located nearby to monitor the environment of smart, connected products, processed materials, and so on) play specific roles in data collection.
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Stronger demand for customization, rising customer expectations, and the complexity of the global supply chain all encourage manufacturers to find new, more innovative ways to compete.
Businesses use digital transformation to improve productivity and discover new ways to improve manufacturing and supply chain operations.
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Over the last decade, the oil and gas industry has embraced IoT technologies to optimize workflows across the pipeline, improve workplace safety and control, and boost productivity. The capabilities of IoT for oil and gas are vast, ranging from reducing manual maintenance to automating error-prone complex tasks to reducing environmental impact and preventing hazards.
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In the oil and gas industry, the Internet of Things (IoT) is used to collect, transfer, and analyze raw data in real-time to get a clear picture of facility processes, improve operational efficiency, reduce energy consumption, and drive profitability.
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More and more businesses are considering enhancing their operations with smart, connected products. The introduction of such products can provide numerous advantages. Customers will benefit from a wide range of enhancements, ranging from improved monitoring of product performance and the external environment to delegating certain stages of production to smart, connected equipment. Simultaneously, vendors of smart, connected products gain new revenue streams and competitive advantage.
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It is far from sufficient to install IoT devices and then leave them to their own devices to ensure proper operation. Some procedures are required to manage the performance of connected devices (to facilitate device interaction, ensure secure data transmission, and so on)
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Machine learning and the models it produces – Machine learning allows the development of more precise and efficient models for control applications. Models are updated on a regular basis based on historical data accumulated in a large data warehouse.
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Can you imagine a vast array of intelligent devices controlled by a single “brain”? To some extent, it is possible as the Internet of Things evolves – the network of physical objects equipped with sensors and actuators, software, and network connectivity that enable these objects to gather and transmit data and perform user tasks.
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The Internet of Things is used in manufacturing to ensure proper asset usage, extend equipment service life, improve reliability, and provide the best return on assets, in addition to improving the effectiveness of manufacturing operations. Among the IoT applications that aid in industrial asset management are:
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Despite being the fastest-growing segment of the global corporate software market, RPA adoption in healthcare is still limited. The robotic process automation (RPA) market is predicted to reach $5 billion by 2024, according to market estimates. In this blog, we discuss the importance of RPA in the healthcare sector.
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