In order to compete with today's fast-moving world, customers demand everything at their fingertips. The rapid development of mobile applications has completely changed the way businesses work. Since these applications get seamlessly integrated into all forms of business be it small or large, they have provided a more mobile form of working. If your business does not provide a mobile based service, then there will surely be a decline in the number of customers.

Mobile, tablets and many such easy-to-carry devices have started a new revolution in the field of software engineering. Since every single person on earth has got a mobile or any such handheld device that they use it to their maximum and it is also convenient to use the easy to carry devices anywhere, anytime.

Mobile apps and related software development is one of the top niche businesses of this decade and will remain so for some time to come. Android, BlackBerry OS, Apple iOS, Symbian OS and Windows Phone are some of the major Mobile Operating systems. Mobile phone platforms dictate which application it supports. Let's examine some major Apps of 2012 which became famous and used worldwide.

1. ProfiMail

What if you found yourself stuck alone at a faraway airport - with no money, credit cards or ID? How easily could you fly back home again? You might survive if you had a smartphone. Emerging "empty pockets" technology is increasingly allowing travelers the ability to use their phones to make purchases, book flights, check in and board planes.

Wallets? They're so 2008.

Delta, American and United presently support electronic boarding passes on smartphones, and stragglers like JetBlue are planning e-boarding programs in the near future.

JavaScript frameworks are the best choice for mobile app development as they can be used across several platforms such as iOS, Android and Windows. The main advantage of JavaScript frameworks is that they can be used both for the backend and frontend processes of mobile application development. But there are several JavaScript frameworks. Selecting an apt framework for your business objectives and availability of resources can be confusing. We make it easier for you through this blog.

Technology is getting smarter and so are people or rather the customers. Traditional modes of promotion/advertising such as advertisements, flyers, brochures, and catalogs do not anymore have the same impact as they did a few years ago. For a more precise explanation; many customers no longer pay the required attention to paper and television. This perhaps could be broader classification of customers in tier 1 and tier 2 cities.

Android applications are getting more popular by the hour. Almost every customer across the United States owns an android phone and this medium is the easiest as well as fastest way for businesses to promote sales. Also interesting is the fact that mobile-app subscription revenue in the US reached $4.6B in 2019.

The world is getting smaller because of the internet and software is automating most activities in a business or enterprise. This augments the trend of mobile application development which has in turn revolutionized the way that various industries function. Companies and organizations across the region are now increasingly understanding the immense benefits which come with developing customized mobile apps for their unique requirements.

Smartphones have become an important element of professional and personal lives. On the professional front, mobile devices, or the applications can be used to manage schedules, organize business processes, and stay informed, among others. Yet a lot in the advantages of mobile apps for the healthcare industry has not yet been explored. This is despite the Healthcare industry embracing lot of transformation from technological advancements.

Machine learning is a concept. It implies the application of artificial intelligence (AI) for enabling systems to automatically learn and improve from experience. In other words, Machine Learning enables systems to learn and execute activities like humans. Systems are not programmed in advance for this. They instead use data such as examples, direct experience, or instruction to look for patterns in data and implement better decisions in the future.