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To address these issues, Proctor & Gamble worked closely with Microsoft to deploy Microsoft’s IoT and Edge analytics platform, its Azure cloud for manufacturing, and its IoT sensors, edge analytics, and machinelearning models. CIO 100, Internet of Things, Manufacturing Industry, Predictive Analytics
Currently, other transformational technologies like artificial intelligence (AI), the Internet of Things (IoT ) and machinelearning (ML) require much faster speeds to function than 3G and 4G networks offer.
Proactive issue resolution: In the Internet of Things (IoT) era, everything from a single valve to a thousand-mile pipeline can be connected to sensors that deliver real-time data on their condition and measure depreciation over time.
By coupling asset information (thanks to the Internet of Things (IoT)) with powerful analytics capabilities, businesses can now perform cost-effective preventive maintenance, intervening before a critical asset fails and preventing costly downtime. Put simply, it’s about fixing things before they break.
That data is then fed into AI-enabled CMMS, where advanced data analysis tools and processes like machinelearning (ML) spot issues and help resolve them. RFID tags broadcast a variety of information about an asset in addition to its location, including the temperature and humidity of its environment.
The rise of interconnected technologies like the Internet of Things (IoT), electric vehicles, geolocation and mobile technology have made it possible to orchestrate how people and goods flow from one place to another, especially in densely-packed urban areas. The solution is smart transportation.
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