7 Ways How AI is Reshaping Enterprise Mobility Management

Artificial Intelligence (AI) is gaining a lot of attention in the enterprise mobility management space for the past few years. According to Gartner, AI is among the top five investment priorities of 30% of global CIOs. Tech giants like Apple, Microsoft, Google, and Amazon are all leveraging AI in their routine operations and consumer products like Siri, Alexa, and Cortana for accelerated growth and profitability. 

Gartner also predicts that 40% of the new enterprise software or apps will be built using AI by 2021. AI solves most of the complex business problems that are difficult for the human workforce. For example, AI-powered chatbots simplify customer interaction for companies effortlessly. In areas of enterprise mobility, AI facilitates better communication, coordination, and productivity for remote teams. By leveraging enterprise mobility management services, you can improve your remote business processes and employee performance.

This article will shed light on the applications of Artificial Intelligence in the enterprise mobility arena. Before we move ahead, let’s first get the basics right: 

Demystifying Artificial Intelligence 

Artificial Intelligence, in simplest terms, is a branch of computer science that empowers machines or computer systems to possess the human-like intelligence capabilities by learning and self-improving using observations, experiences, and human data inputs. By using a combination of natural language processing (NLP), deep learning, and machine learning, these systems are trained to process huge volumes of data, analyze meaning patterns and extract results that are meaningful for them, as well as, for end-users.

Any machine that has cognitive processing capabilities like learning, processing, solving problems and answering can be considered as a device with AI capabilities. AI though works in a specific manner. It first gathers data or information (both structured and unstructured) from multiple sources devices and activities. After that, specific AI models or algorithms are applied to process that data. These AI models are trained and tested using multiple data sets for analyzing output accuracy in each case. 

Demystifying Enterprise Mobility

Enterprises in today’s day and age integrate enterprise mobility solutions at each level of their business for better workflow management, smooth operations, and boosting employee productivity. In fact, the success of most modern enterprises today depends upon the fact that how well they are leveraging enterprise mobility services to drive their business operations.

In other words, enterprise mobility means increasing the remote working options for employees at enterprises. The objective is to utilize the latest technologies like Artificial Intelligence, Cloud Computing, etc. to offer greater agility and flexibility to employees by allowing them to work remotely. 

Enterprise mobility management specifically deals with managing the people and processes involved behind enterprise mobility solutions. Ensuring the security of remote devices or EMM devices using access control based on various filters like employee department, role, location, etc. is also a part of EMM. Improving access to enterprise digital assets while maintaining the same level of proprietary control is the goal of enterprise mobility management. 

Bringing Both Together for Improving Enterprise Mobility Management

One of the key strengths of enterprise mobility solutions is that it allows the employees of work from anywhere, anytime without taking a hit on their productivity and daily goals. With the right enterprise mobility management solutions, companies can attain results faster and make their operations more efficient. 

While enterprise mobility management (EMM) lets companies achieve this much, the addition of AI makes it even better. Integrating AI in EMM solutions makes them smarter, accurate, and user-friendly. It offers deep insights into employee performance, productivity, and efficiency level while suggesting better, improved ways of working. Employees can use smart EMM devices to track their individual/team performance and also apply best practices for attaining their daily/weekly/monthly goals. For instance, usage of an AI-powered training system by new hires at the production facility to get familiar with its machinery and operating procedures. 

Also Read: Enterprise App Development: What it is and Why it Matters for Your Business Growth?

Here are some of the powerful applications of AI in improving enterprise mobility solutions: 

EMM solutions

AI-powered Smart Devices and Applications 

Smart devices examples include smart cameras, in-built language translators, voice-based mobile apps, and more. These AI-powered apps and smart devices are capable of analyzing user behavior and device usage patterns to provide recommendations that aid in achieving their tasks or goals. Besides this, machine learning enables these devices to optimize CPU, RAM, and ROM usage for better performance. Smart devices can easily recognize and stop the memory-exhaustive tasks and apps running in the background which results in better user experience while performing critical tasks on these devices. 

Sentiment Analysis 

Using AI and past historical data, companies can analyze the behavior, opinions, attitudes, and emotions expressed by customers about their products or services. For example, retail & ecommerce solution provider companies apply this technique to assess customer sentiments for their existing or upcoming e-commerce products. Customers’ reviews, feedback, or ratings are used for data mining mostly here. 

Predictive Analytics and Data mining 

Predictive analytics is a new approach for applying AI algorithms to forecast probability of future events. Rather than being descriptive and classifying data into clusters, companies analyze the historical data to forecast future events. For instance, supply chain companies use predictive analytics to predict product demand in upcoming months to maintain satisfactory inventory levels. A simple example would be predicting any smartphone charging pattern of a user that has the potential of future battery failure through AI. 

AI-powered Chatbots 

Usage of AI-powered chatbot solutions is most common these days. Companies use these automated bots on their websites or mobile applications for customer support functions. These bots are used to improve customer experience and service response times. Apart from these chatbots are used in enterprise mobility frameworks by companies to improve operational workflows, decision making, team communication, employee productivity, and performance.

Gathering vital data from customers/employees via surveys, real-time assistance, and offering personalized recommendations are some of the key tasks performed by chatbots at enterprises. They can also be seamlessly integrated with existing IT infrastructure and technology in business to foster better communication and operational excellence. 

Betterment of BYOD Strategy 

Companies supporting BYOD strategies can boost their employee productivity and operational efficiency by encouraging employees to use smart devices with AI capabilities inside. Such devices offer better performance and user experience while utilizing them for performing critical business tasks. Companies also realized reduced operational costs, fewer system delays, and improving decision making. 

Anomaly Detection and Prevention 

Artificial Intelligence also plays a crucial role in safeguarding critical business systems like ERP, CRM, and more from external threats or cyber-attacks. It can be used for continuous monitoring of enterprise software or apps to detect anomalies or unusual behavior, as well as alarm IT security teams about the same. With the deepest knowledge of enterprise topology, infrastructure, and baseline performance indicators, AI solutions can be pretty useful for securing enterprise technology environments. 

Bolstering IT Security

Enterprise software development companies can harness AI for building highly secure and robust systems or apps. These smart-systems are capable of protecting confidential business data and keeping everything operational by alarming security teams about possible threats, vulnerabilities, or security issues before any breach happens.  


Preparing for A Better Future Custom Enterprise Mobility Management Solutions

Many EMM vendors are now implementing Artificial Intelligence in their offerings for better results. But, remember you should trust an enterprise software development company that holds in-depth technology knowledge and experience in the EMM domain. If you are looking for a reliable and trustworthy EMM solution vendor, connect with us here at A3logics. 

Our product engineering specialists have 10+ years of experience working with next-gen technologies like AI/ML, cloud computing and more to devise future-ready, customized EMM solutions for businesses of all kinds. 

Drop us a line to know more about our enterprise mobility management services

 

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