IoT, AI & Data

The Internet of Things (IoT) is a network of physical devices through which information and data can be exchanged in real-time, and monitored and controlled remotely by users. IoT devices share the sensor data that they collect by connecting to an IoT gateway where data is either sent to the cloud to be analyzed or analyzed locally. These devices communicate with other related devices and act on the information they get from one another, often without human intervention. Whether it is issues with transportation, resource management, or energy consumption, IoT solutions are poised to become the answer to the world’s most complex problems, with the capability to transform our day-to-day lives.

Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs, and perform human-like tasks in an intelligent, rational and ethical way. AI works by combining large amounts of data with fast, iterative processing and intelligent algorithms, allowing the software to learn automatically from patterns or features in the data. The Internet of Things generates massive amounts of data from connected devices and automating models with AI will allow us to use and optimize the data acquired.

While new sensor, mobile and wireless technologies are driving the IoT evolution, the true business value of the IoT lies in analytics. Data Analytics (DA) is defined as a process which is used to examine big and small data sets with varying data properties to extract meaningful conclusions. These conclusions are usually in the form of trends, patterns, and statistics that can be used for a multitude of activities, depending on the particular application. IoT analytics offers the capability to combine operative information with data from IT systems and deliver intelligent analytics to those stakeholders who need them most.