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The Impact of Artificial Intelligence on Enterprise Mobility

The mobile technologies that the world has to offer today are a result of intriguing advancement. With this progression, they have empowered the globe, especially businesses, with a plethora of unprecedented functionalities and features. Consider this; mobile phones are now more referred to as smartphones. They continue to claim essential duties in the context of general existence as well as work. When it comes to working with capable mobile technologies, we have today that there’s nothing you can’t do with them, be it accessing a source of knowledge or even a channel of communication with plenty of them for facilitation.

So, it isn’t surprising to realize that the concept of enterprise mobility has taken center stage, with companies going all out to make sure that they keep up. Yet, as is the case with any technology, this one too is evolving with various factors influencing its progression and future. One such tool is artificial intelligence; and while many people are inclined to demonize it as a technology that will steal jobs. But, the truth is that it offers before incredible potential, especially in the context of enterprise mobility.

With this article, we offer a tour of how artificial intelligence is shaking things up in the enterprise mobility market.

1. Research has shown that artificial intelligence, along with other technologies, such as BYOD and IoT, contributes to enhancing productivity in the enterprise. AI-driven mobile applications have made mundane tasks simple and quicker for enterprise employees. AI has also enabled companies to conquer workplace limitations and achieve unparalleled success.

2. C-suite executives in IT believe that by 2022, there’s a good chance that employees in their organization will receive support from their virtual assistants. Corporate leaders also think that in roughly five years, the majority of employees will work, enabled by AI-powered tools.

3. AI-powered devices are lending crucial help to enterprise workers by understanding their behavior and app usage habits to prioritize apps in accordance to their preferences. Furthermore, the technology enables efficient management of device resources as well as their optimization by tracking RAM, ROM, and CPU usage.

One of the most excellent real-life examples is realized in Huawei Mate 9 — an AI-enabled smartphone. Loaded with machine learning abilities, it helps enhance employees’ output by leveraging scheduling to manage memory resources as well as to optimize computing efficiency.

4. Data mining. Enterprises are turning to data mining as they try to leverage big data for valuable insights that are conducive to their business. In this context, artificial intelligence is assisting enterprises via the provision of productive algorithms and tools for data mining processes, which, in turn, allows them to identify and tap all available opportunities in the market.

As you can see, it is clear that one must help their employees adapt to the concept of enterprise mobility as well as the advancements. Moreover, one of the best ways to do that is to avail the services of a trusted enterprise software development company, so you can chart out a robust enterprise mobility plan that factors in AI as well as other new technologies that are crucial to this industry. It is vital because preparation is the key to success.

Written By

A professional and security-oriented programmer having more than 6 years of experience in designing, implementing, testing and supporting mobile apps developed. Being techno geek, I love to read & share about the latest updates in technology including but not limited to IoTs, AI, application development, etc. In my free time, I like to play football, watch movies and explore new places. I have been learning mobile app development since 2012. With having a good understanding of programming languages, I develop native as well as web apps for both iOS & Android using latest tools & technologies. I am also having experience in both front-end & back-end development.

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