Header Content

Mobile app development and the intelligent app

68693934_MThere is a revolution underway in the mobile app development space. Powered by artificial intelligence and machine learning, “intelligent apps” are already showing promise in positively affecting workflows and increasing organizational productivity. The fact is, this is a development we have seen coming for some time. As the mobile app development and artificial intelligence fields have evolved, they have increasingly appeared to be on a collision course.

Of course, all of this can be traced back to the early era of enterprise mobility. Virtualization technology gave rise to critical business apps, but these early iterations were clunky, offered a poor user experience, limited platform support and sub-par navigation. It wasn’t until 2008 that the growth of the consumer mobile app development market ushered in a new era for business and intelligent apps as well.

The era of the intelligent app

Enterprises, app developers, and industry stakeholders have been hard at work preparing their legacy apps for use in the modern app era. The rapid development in the consumer app market has provided an unprecedented level inspiration for app developers operating in the business app market.

With transformation in the hardware space also continuing unabated, from Google Home and Amazon Alexa, apps and software services have had to undergo their own transformation. ‘Smart’ devices are now an everyday part of our lives and the software that powers them will need to do more than they ever have before. Fortunately, they are meeting the challenge.

Intelligent apps are defined as artificial intelligence (AI) and machine learning-powered apps. They are now more of a necessity than a futuristic possibility. If organizations want to compete within their marketplace while attracting and retaining top talent, they will need to stay at the forefront of technological change.

Contextually, intelligent apps provide a more personalized and immersive experience. One of the best features is their ability to intelligently manage notifications so that only the most pertinent information is displayed based on a number of ‘smart’ factors (location, latest search parameters, etc.).

Take, for instance, Waze, which can deliver shopping or restaurant-based ads depending on where the driver is located. Another example is that of the Weather Channel, which updates a street-by-street forecast through their app. Contextually aware apps like these utilize other aspects of the device to provide a more streamlined experience.

Real-world examples of intelligent mobile app development

There are also great examples of how these principles are applied in the workplace. A salesperson’s workflow could be completely transformed by a contextually aware app. When a salesperson goes to meet with a customer, they generally need to pull up records, address, contact information, and more. Legacy systems would force the salesperson to find information manually.

An intelligent app would already know where the salesperson is and eliminate the need to thumb through several steps just to get the required data. Based on the initial calendar reminder, the traffic route, and the location, an intelligent app can immediately bring information to the surface, ready to be accessed as soon as the salesperson needs it.

Contextual awareness also allows for better app security by restricting access depending on user, location, or network preferences. Allowing for pre-designated screens or components, the user is provided with the experience they require without compromising security.

With the ability to continuously get better, intelligent apps will offer unprecedented improvements in productivity, user experience, and cost savings, from both the individual and business perspective. Here at Clever Coding, we are actively engaged in developing, experimenting with and deploying the latest in app technologies. If your requirement calls for it, we’ll develop the smartest app money can buy.

Comments are closed.

Footer Content