Update Impact of AI and ML on Developing Enterprise Mobility Solution in 2022

We live in a data-driven world in which evolving technology touches every facet of our life. Smart devices and advanced tools can meet our needs in-home and at the workplace. Entrepreneurs have embraced this trend and started integrating digital transformation solutions to leverage its benefits. 

In this article, we are going to discuss the role of AI and ML technologies in developing customized enterprise mobility solutions. 

Both AI and ML technologies are around us for quite some time. They have brought the maximum impact in the corporate world. 

These days, many entrepreneurs tend to jump on the mobility bandwagon and it is interesting to see how both these futuristic technologies influence the development of an enterprise mobility solution. 

It is fair to mention that mobility and intelligence are two core aspects that drive almost all human decisions. 

Before digging deep into the role of AI and ML in mobility, let’s understand the key terms. 

Enterprise Mobility- Scope and Capabilities

Enterprise mobility solution is aimed at driving employee productivity, overall performance, cost efficiency, and profitability. Enterprise mobility can enhance the customer experience to ensure the sustainability of your business. 

Simply put, enterprise mobility can enhance the company’s ability to utilize the latest mobile technologies to perform and manage various business activities anytime and from anywhere. 

Talking about Enterprise Mobility Management (EMM), the right combination of processes, technologies, and people to manage, secure, and monitor the usage of company devices, networks, and applications within a secure environment is known as EMM. 

Artificial Intelligence- Importance in Enterprises

AI technology empowers machines to learn from observations and experience and exhibit human-like performance. AI-based concepts like NLP (Natural Language Processing), predictive analysis, and deep learning, are useful in processing zillions of data and extracting actionable insights. These insights enable machines to act like humans. 

Any machine with the ability to implement cognitive activities like learning, answering, and reasoning can be said to have got artificial intelligence. AI technology works in a specific manner to bring automation in various processes. 

An AI app development company can come up with a customized app that has features based on AI and ML technologies. Modern enterprises can resolve queries and automate various processes effectively using AI. 

The combination of AI and enterprise mobility contributes to maximizing business outcomes. On one hand, enterprise mobility enables your company’s employees to work from anywhere and stay productive. On the other hand, AI can automate several processes thereby saving a lot of time and effort. In a way, employees remain efficient and productive. 

Here is how these technologies influence enterprise digital transformation. 

Top Ways AI and ML Influence Enterprise Mobility Solution

We live in a mobile-driven world. Several leading smartphone makers have started imbibing features based on AI and ML technologies. A mobile app development company can utilize these features to make customized enterprise apps. 

Smart devices for better analysis

Built-in language translation, improved security, and capability to analyze the user’s behaviors- these are some of the AI-driven features in smart devices or smartphones that remain useful for enterprises. 

Machine Learning can enable such devices to manage and optimize resources as per the analysis of the available data. An AI app development company can make apps capable of acting as per the user’s behavior and data pattern. 

Read More : Four Ways Blockchain-AI Integration Transforms Mobile App Development

Improved Business Logic

AI is designed to improve the business logic in line with the user’s expectations and behaviors. AI-driven apps are capable of leveraging user interfaces, gestures, visual recognition, and speech. 

Enterprises can get actionable insights from the app with ML-powered user activity streams. These streams are useful for getting insights on how end users utilize the apps. A mobile app development company and enterprises can improve app-focused processes and other operations based on these insights. 

Enhanced BYOD Strategy

The BYOD culture is here to stay. It has already started offering benefits in the form of higher employee productivity and operational efficiency. 

Here, AI technology can enhance the performance of the employee’s smartphones along with documents and other applications. 

It also ensures ease of using smart devices. When AI and ML combines in the BYOD strategy, it can enhance functionality and increase productivity while reducing system delays significantly. 

Chatbots in Applications

We cannot ignore AI-driven chatbots while talking about the benefits of AI app development. Companies tend to integrate chatbots within their dedicated apps to get enhanced operational workflows and better decision-making abilities. 

Companies also use chatbots to fulfill multiple tasks like collecting all necessary information and data, communicating with clients or customers, and conducting surveys. 

Chatbots can deliver results in real-time and a reputed AI app development company can integrate them into the existing business system and IT ecosystem to promote operational excellence. Chatbots can improve the customer experience significantly and ensure secure communications without any glitches. 

Automation in Reasoning

Automated reasoning is a feature of AI technology. Companies use this feature to address their current business requirements with the relevant solution. 

When the AI algorithms analyze the data that are used or accessed by customers or companies, you can leverage the benefit of automated reasoning. 

Uber is a good example of automated reasoning. Here the company’s AI algorithms collect the user’s data related to routes and directions and use the same as reference for future trips. 

Predictive analysis, data mining, and sentiment analysis are other niche areas where AI remains a facilitator to enterprise mobility solutions. 

Another major advantage of AI and ML technologies is they can be used to enhance the security of mobility solutions. Higher visibility, predictability, and better performance can be achieved using AI and ML while eliminating security threats. 

AI enables companies to keep a constant watch over all the ongoing activities to ensure seamless and secure operations. AI-driven identification and detection of anomalies can make a difference in the customized enterprise mobility solution over the period.  

Concluding Lines

No aspect of our daily lives remains untouched from advancing AI and ML technologies. A reputed AI app development company can enable companies to leverage the benefits of both these concepts while bringing transformation and automation. 

It is interesting to see how enterprise mobility will leverage the potential of AI and ML technologies to drive growth.