Edge computing is a distributed computing paradigm which brings computation and data storage closer to the location where it is needed, to improve response times and save bandwidth.
Industries had undergone three revolutions till. First being, mechanization and using indirect combustion for powering up mechanization through water and steam power (Industry 1.0). Second revolution brought complicated machinery for mass production and used electrical power (Industry 2.0).
With around 30 billion connected devices out there, the Internet of Things (IoT) is no longer just a buzzword. It’s very much a part of our reality. It has already started proving itself useful in the supply chain, manufacturing, automobiles, and predictive maintenance areas
Involvement of leading open infrastructure projects such as OpenStack and OSM as MANO suggest that such solutions are possible using open-source projects with the added benefit of controlling developing infrastructure costs.
Modern IoT solutions communicate constantly with the digital world, producing data and insights previously thought impossible. With 31 billion connected devices to be available by 2020, it’s safe to say that IoT is here to stay.
Simple explanations of Machine Learning and Artificial Intelligence, and how they’re related... but not at all the same thing.
Edge computing is the critical architecture for enabling most 5G use cases. However, requirements and expectations from edge node in terms of computing resources is in question, and with the growing number of devices and data it could become cumbersome.
IoT offers some pretty interesting applications in making our lives easier in healthcare, transportation and agriculture. IoT represents a new revolution of the internet and has potential to change the world.
Infographic on Gartner's tech trends 2019