Mobile technologies are taking off in a big way with modern businesses embracing the latest digital practices and advanced engineering methods. To survive in today's business world, adopting new mobile technologies and digital solutions is very crucial. With the evolution of the information age, the robotic process, machine Learning, AI and VR have come in the buzz for a long time. Many companies have already adopted along with smart enterprise mobile applications and are also benefiting from blockchain technology and 5G network.
Talking about significant factors affecting the enterprise mobile applications, it involves latest wireless technology, innovative User Experience Design and Artificial Intelligence (AI). In addition to that, Virtual Reality (VR) is also getting popular in today’s era in various platforms such as Google Cardboard, Google Daydream, and Gear VR. However, the idea of digital transformation with mobile application development for enterprises touches every industry and every company in various aspects.
As per the report of the Annual Mobile App Development Report 2017, there are about 70 percent of employees who spend two hours or more a week to access their company information with their mobile devices. Moreover, the number of smartphone users is rapidly increasing and is expected to reach 2.6 billion in 2020, creating more need of mobile applications and digital marketing strategies to integrate with various platforms into existing system.
New Trends in Enterprise Mobile Applications
As Internet of Things (IoT), and machine learning are rising day by day, it creates many opportunities for businesses. Most importantly, the latest trends in enterprise mobile application development are setting up new possibilities to enact user experience and interaction. A latest research on mobile apps has stated that the recent market trends largely stress enterprises to come up with increased mobile workforce citing 54%, improved communication mentioning 55%, and growing need to user experience as 44% among the top trends. Apart from this, mobile applications play a great role towards the overall organizational productivity and workflow efficiency.
According to a report of renowned platform, the enterprise mobility solutions empower the business for future by transforming the way it used to interact and communicate with the customers. Much more, it boosts operational output, decreases inventory waste and controls expense overrun.
Internet of Things (IoT) and Artificial Intelligence (AI)
Among various trends in enterprise mobility solutions, IoT and AI are very prominent because of their growing demand. Both have a strong connection and they are all about connecting machines and using of the data collected from the machines. Amazingly, AI is capable of allowing fast and efficient decision making in comparison to human intelligence. For this, the organizations are considering mobile applications with edge networking and edge computing as machine learning is such a powerful technology that enables you to detect patterns in data presented.
Moreover, AI detects these patterns to adjust the ways and analyze that data to perform a specific action. To say it precisely, you can achieve more ‘connected intelligence’ by integrating machine learning embedded into an IoT environment. Even more surprisingly, AI being implemented in the edge you can do Predictive analytics that tells ‘What will happen?’; Prescriptive analytics revealing ‘What should we do?’ and Adaptive/continuous analytics –for knowing ‘What are the appropriate actions or decisions? Or to get information on how the system should adapt to the latest updates?.
So far we have known various game-changing trends in enterprise mobile applications that any company can consider to become digitized. However, different challenges should be known as well. For instance, if some enterprise wants to create its own application with the aim to increase organizational productivity, it will be dealing with the whole process from idea generation to develop, and deploy too. Besides, the employee learning should be considered to adopt the application as soon as possible once integrated into the system. Lastly, the company should be able to fix bugs and send regular updates of the application so it may not influence the workflow.