According to Wikipedia, a Web App“is an application that is accessed via a web browser over a network such as the Internet.” A web application is not a website, in that it provides functionality and interactivity while a website is informational.

Progressive Web App (PWA) is a web app that can take advantage of many of the features native applications have enjoyed but having consistently the same experience across browsers and operating systems.

Some of the characteristics are: Progressive - Work for every user, regardless of browser choice because they’re built with progressive enhancement as a core tenet. Responsive - Fit any form factor: desktop, mobile, tablet, or forms yet to emerge; Connectivity independent - Service workers allow work offline, or on low quality networks; App-like - Feel like an app to the user with app-style interactions and navigation; Fresh - Always up-to-date thanks to the service worker update process; Re-engageable - Make re-engagement easy through features like push notifications, etc.

There are two kinds of Mobile Apps: Native and Hybrid.

Native Apps are the majority of the apps on your hand-held devices and they are build for specific device platform, either iOS or Android (or Windows). It offers the fastest, most reliable and most responsive experience to users and can easily tap into wider device functionality.

Hybrid Apps is like a fusion of the Web App's and Native App's capabilities, to help build Cross-Platform Apps that can be compiled to run on any chosen platform, either iOS or Android (or Windows). While performance is probably the biggest disadvantage of hybrid apps, you could save time and money, and yet being able to scale across platforms faster.

Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer algorithm that can access data and use it learn for themselves.The use-cases of modern data science are almost endless. It can be used to predict financial behaviour, profile individuals, detect objects and emotions and so much more.

Deep learning on the other hand, is a subset of machine learning. Deep learning (artificial neural networks) are a set of algorithms that have set new records in accuracy for many important problems, such as image recognition, sound recognition, recommender systems, etc.

An IoT system has four components (or three based on how you look at it) - sensors or devices, connectivity to the cloud, data processing algorithm, and a user interface to view the processed data.

So, the sensors or devices sends the sensor data to the cloud through some kind of connectivity. Once the data is stored in the cloud, a software then processes it based on the business requirement. This is then used to perform an action automatically, or it could be based on the input from a user. Sometime, it could also be controlling or communicating with other sensors based on the precessed data to perform some action.

In fact, the high pace at which these are evolving has given raise to more acronyms like MR and XR. MR (Mixed Reality) is a mixed of virtual reality and the reality, it creates virtual objects that can interact with the actual environment. XR (eXtended Reality) brings all three Reality (AR, VR, MR) together under one term.

There are already a lot of practical applications built to utilise these reality. Some of them are in the areas of education and training, military, navigation, medical to name a few; also purposes like measurements, shopping, etc.

You'll get the answer, if you're told that marketing needs in the digital world are same as in the real-world.

But unlike the real-world, for a great Digital Marketing you would be needing a right mix of strategies which could be broadly classified into: Search Engine Optimisation, Search Engine Advertising, Re-marketing and Social Media Marketing.

There is no one-size-fits-all approach here. The marketing strategy has to be uniquely strategised (the right mix of strategies) based on your business goals, unique offerings, target audience, etc. So, if you have a lot of competitors, you'll need a strategy which will span over many months to stay relevant to your goal.