Student enrolment rates have gone up considerably, from 216 million to 380 million in 14 years. With increase in earnings of the working population and easier access to study material, the education industry is thriving. Growing internet penetration and possession of smart devices have facilitated e-content and made it accessible across the value chain. The growing popularity of digital textbooks, coupled with modes of smart learning (enabled through Augmented Reality (AR)/Virtual Reality (VR) techniques), will drive the growth of the education market. However, there are a few challenges and therefore, for effective AR/VR implementation in the education industry, it will be essential to strike a balance between enhancing student experience and investing in other core infrastructure activities.

The digital disruption will be the new age digital revolution similar to the 1700s or early 1800s industrial revolution and its impact on modern society. Mobile data traffic is rising rapidly due to new paradigms such as virtual reality, augmentation reality, mixed reality, autonomous vehicle, V2X, real time multi-player gaming, massive IoT like billions of connected intelligent IoT devices, and sensors. With billions of connected devices, the end user has a multifold growing number of connections. So, existing network technologies are fast becoming inept at handling these kinds of new communication wave which need improved energy efficiency model, ultra-low latency and high bandwidth requirements.

In this blog, the author discusses the 5th generation network system, EDGE computing, neural network-based machine learning models and its application on edge systems and 5th generation communication network.

comes to breaking such a triangle by disrupting the status quo.

Industries such as commercial aviation and computing went through disruptions which made services affordable, accessible, and better over time. The same is possible for the healthcare industry. This is especially true in a time when technological breakthroughs, better medical understanding, and deeper research interests are intersecting to create a ripe environment for the inevitable disruptions that will herald the next era in healthcare. This is where Artificial Intelligence (AI) in healthcare comes in. Read the blog to know more.