The term Internet of Things is increasingly being used to define devices that specifically communicate with the local network, the internet, and each other, independent of human action. IoT is wearable and portable, creating a connected world by transforming surrounding physical objects into an ecosystem of information that rapidly changes the way humans live.
Although the majority of companies know about IoT, not many understand the value they can extract from machine data right now; it’s all about the communication ability between the shop floor and the business environment.
Connected cars are extremely complex in terms of testing and QA, yet these points cannot be overlooked. The article focuses on the mechanisms of data exchange in connected vehicle technology and lines up types of testing applicable to connected cars, such as on-road, virtual environment and in-laboratory testing. Moreover, various systems of connected vehicles are also separate subjects of testing, so QA engineers use performance, interoperability, and other types of testing.
In both supply chain management and healthcare--as well as business operations in general--the Internet of Things is speeding up many processes and analyzing data to help make better business intelligence decisions at all levels of business--both in the early supply chain stages and in the delivery of information to clients/patients/healthcare professionals.
5G will have a profound positive impact on technologies in the manufacturing sector, such as with AI and machine learning, by making intelligent algorithms more successful at fulfilling their purpose.
AI-enabled technologies are simultaneously extending, complementing and jeopardizing global healthcare efforts. The road ahead for "Dr. AI" looks precarious yet promising.
AI and ML can improve decision making, personalize experiences and enhance decision making in smart cities, but at the risk of bias and abuse.
The implementation of 5G will facilitate smoother, more robust and multi-tiered networks.
Manufacturers often view AI as highly complex and expensive, requiring end-to-end systems throughout their whole company to work properly. The reality is, AI is much more focused and achievable. It can work on factory floors with minimal construction and get connected to machines via the Industrial Internet of Things (IIoT). With this article, the author presents key advice and three scenarios for how manufacturing intelligence has been used in real settings.
Many have heard the term "smart home" by now, but fewer are aware of how IoT can improve urban life.