RevSaks has been providing IoT solutions before the term “IoT” was coined. The idea is to help bridge the gap between machine-to-machine (M2M) integration to leverage the invaluable data that they generate. Rev Saks expertise includes:
· Connectivity across Embedded Systems
· System Integration
· Device Management
· Real-time data analytics.
The Internet of things (IoT) does describe physical objects (or groups of such objects) that are rather embedded with sensors, processing ability, software, and other technologies as well that do connect and also exchange data with other devices as well as systems over the Internet or other communications networks.
The Internet of Things (IoT) describes the network of physical objects—“things”—that are embedded with sensors, software, and other technologies to connect as well as exchange data with other devices along with systems over the internet. These devices do range from ordinary household objects to sophisticated industrial tools. With more than 7 billion connected IoT devices as of now, experts are expecting the number to grow to 10 billion by 2020 and 22 billion by 2025.
Over the past few years, IoT has indeed become one of the most important technologies of the 21st century. Now that we can connect everyday objects—kitchen appliances, cars, thermostats, baby monitors—to the internet via embedded devices, seamless communication is rather possible between people, processes, as well as things.
Using low-cost computing, the cloud, big data, analytics, as well as mobile technologies, physical things can rather be shared and collected data with minimal human intervention. In this hyper-connected world, digital systems can rather record, monitor, as well as adjust each interaction between connected things. The physical world tends to meet the digital world, and in the process, they cooperate.
What technologies have enabled IoT possible?
The concept of IoT has been in vogue for a long time, no doubt. A collection of recent advances in several different technologies has made it practical of course.
Machine learning and analytics
With advances in machine learning and analytics, along with access to varied as well as vast amounts of data stored in the cloud, businesses can gather many insights faster as well as more easily. The emergence of these allied technologies do continue to push the boundaries of IoT and the data produced by IoT also does feed these technologies.
Conversational artificial intelligence (AI).
Advances in neural networks have rather brought natural-language processing (NLP) to IoT devices (such as digital personal assistants Alexa, Cortana, and Siri) and have made them appealing, affordable, as well as viable for home use.
Connectivity
A host of network protocols for the internet has indeed made it easy to connect sensors to the cloud and also to other “things” for efficient data transfer.
Accessibility to low-cost, low-power sensor technology.
Affordability and reliable sensors are making IoT technology possible for several manufacturers.
Cloud computing platforms
The increase in the availability of cloud platforms does enable both businesses and consumers to access the infrastructure they require to scale up without actually having to manage it all.