What is IoT?
The Internet of Things (IoT) is a network of physical objects—”things”—embedded with sensors, software, and other technologies for the purpose of connecting and exchanging data with other devices and systems via the internet. These devices range from common household items to sophisticated industrial tools. Experts predict that there will be more than 7 billion connected IoT devices by 2020, and 22 billion by 2025. Oracle has a network of device partners.
IoT Intelligent Applications are ready-to-use software-as-a-service (SaaS) applications that analyze and present captured IoT sensor data to business users via dashboards. We have a comprehensive set of IoT Intelligent Applications.
Machine learning algorithms are used in IoT applications to analyze massive amounts of connected sensor data in the cloud. You can gain visibility into key performance indicators, statistics for mean time between failures, and other information by using real-time IoT dashboards and alerts. Machine learning-based algorithms can detect anomalies in equipment and send alerts to users, as well as trigger automated fixes or proactive countermeasures.
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What technologies have enabled IoT?
While the concept of IoT has been around for a long time, recent advances in a variety of different technologies have made it a reality.
• Access to sensor technology that is low-cost and low-power. More manufacturers are able to implement IoT technology thanks to the availability of low-cost, dependable sensors.
• Connectivity. A plethora of internet network protocols have made it simple to connect sensors to the cloud and other “things” for efficient data transfer.
• Platforms for cloud computing. The increased availability of cloud platforms allows businesses and consumers to gain access to the infrastructure they require to scale up without having to manage it all.
• Artificial intelligence (AI) for conversation. Natural-language processing (NLP) has been brought to IoT devices (such as digital personal assistants Alexa, Cortana, and Siri) by advances in neural networks, making them appealing, affordable, and viable for home use.
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