AI and The Future of Enterprise Mobility

Aman Chaurasia

In an increasingly competitive business world, companies across the industries are expanding the scope of technology in their operations to stay ahead of the curve. Traditional processes are gradually getting replaced by smart technologies and growing application of mobility is shrinking the physical office space now. As mobile technologies continue to bring innovative features and business-related functionalities, a smartphone is taking up bigger responsibilities in becoming an entire workspace in itself. Whether it is accessing a knowledge source or internal or external communication, it is all possible through a mobile device today.

Since engagement of people with mobile devices is only increasing and various studies have proven that people are spending more time on their smartphones, businesses are realizing the potential of mobility as to how it can bring a higher level of operational efficiency and employee productivity. Leveraging mobile apps, novel and innovative features and location-based services, enterprises are attempting to redefine the work environment and enhancing employee experience.

Mobility has acquired a rapid pace in recent years and there are several case studies from around the world where it has been instrumental in generating higher outputs and increasing overall organizational performance. Capabilities of enterprise mobility are well above any mere speculations today and its application is not restricted to big enterprises anymore. More and more middle and even small-sized businesses are investing in crafting a strategy around it.

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AI in Everyday Industry Life

Mentioning a few AI identities such as Apple’s Siri, Amazon’s Echo, and Microsoft’s Cortana is imperative here; as these are everyday names for busy workers in any enterprise. In recent years, AI developed rapidly and became an indispensable go-to tool for almost all. Today, it is hard to carry on with a busy working day without AI at the helm. Voice-activated helpers, facial recognition software, carefully written and time-tested algorithms, and smart applications are driven by AI are the everyday things.  Keeping in view AI’s escalated consumer engagement through personal devices, enterprise mobility is definitely in for ground-breaking experiences.

Also, as the data shows, 2017 was the year when IoT, AI, and BYOD were on top of technological advancements that organizations embraced for increased productivity. Industries across the trade-scape that harnessed the power of IoT and portable technology opened doors for additional growth and brought significant output to the table; all of it through accelerated employee contributions and teamwork. Mobile applications powered by BOT technologies and AI are making the tasks easier, faster and error-free for more and more enterprise workers. These technological advancements are empowering the enterprises to overcome the limitations and touch the success skies that seemed impossible a few years ago.

Read: How Does the BYOD Policy Affect Enterprise Mobility?

The Technology behind the Curtains

What makes these AI-powered devices so useful in everyday industry lives of enterprise workers? The answer is that these smart hand-held devices are built to understand users’ behavior, habits, and app usage to prioritize and rearrange the mobile applications as per individual preferences. Not only that, the sophisticated technology also manages the resources within the device and keeps them optimized by constantly monitoring the CPU, RAM and ROM usage. Apps that are used less are put to sleep automatically, while saving the power for applications used for other important tasks at hand, specifically for enterprise customers.

An appropriate example here is Huawei Mate 9 launched by Huawei, which is a smartphone with extraordinary AI capabilities particularly catering to enterprise workers. The phone is fitted with machine learning power and performs fine-grained scheduling to manage memory resources and to maximize computing efficiency. Hence, enhances the output of the employees remarkably.

Utilization in Data Mining and Predictive Analytics

Data mining is becoming a rapidly used phenomenon for the enterprises to analyze big data and reach insightful conclusions that can help boost the business. Companies are increasingly relying on data storage, its maintenance and analysis to understand the consumer behaviors and patterns. All these tasks are performed under data mining which is fuelled by AI. AI provides an effectual set of tools and learning algorithms for data mining processes to discover and gauge all the possibilities.

Also, with the recent turn of data mining towards predictive analysis, it is now more about predicting the outcomes rather than classifying, clustering and describing the data modules. AI assisted this approach too with a rapid change from descriptive to predictive analysis.

The most relatable example here is that mobile devices consuming high battery or the user patterns with a potential of device failure are alarmed and prevented through AI. This saves a lot of time, effort and energy for the enterprise workers and the tasks keep running smoothly.

Chatbots Replaced Human Resource and Other Applications

With the advent of chatbots, enterprises entered into an absolute technology-driven work arena where the basic, yet time-consuming functions such as communication and customer service are made free of human resource. The recent specimen was established by KLM Airlines when they started using chatbot for booking flights and catering to inquiries. Powered by AI, these chatbots are equivalent to applications, when talking about mobile ecosystems. These chatbots supported by voice and messaging technologies are extensively used by enterprises as they bring with them the ease of integration with existing enterprise systems, relieving the human resource for more relevant tasks, added security, error-free execution, and momentous management added with vigilant monitoring.

Read: How Will Chatbots Drive Value to Your Enterprise In 2018

AI – Enterprise Benefits at a Glance

  • ◙ Error-free tasks accomplished in lesser time
  • ◙ Effortless data accumulation, maintenance, and analysis
  • ◙ Staggering success due to the mindful use of resources freed by the implementation of AI
  • ◙ Rapid growth in systems like retail, manufacturing, healthcare, financial services, and transportation owing to AI empowerment

The Future of AI in Enterprise Mobility

Flexible working systems and BYOD (Bring Your Own Device) are the order of the day with more and more employees relying on their personal smart devices at work, simply because they are favorably attuned to them. AI and IoT are constantly improving employee engagement throughout the business and trade spectrum, facilitating significant cost reduction and process engagement.

An augmented number of enterprises are now ready to strap-up the absolute potential of mobility, hence, are moving their manual and mechanical processes to digital technology, through resourceful utilization of handheld devices. The future of AI is promising, as it is already improving communication standards, workflow efficiency, decision making, and thus accelerating business process cycles unbelievably with more to come from advancing technology.

We are in to witness a visible rise in EMM – Enterprise mobility management, throughout enterprises for the purpose of achieving credibility, growth, success and security resolutions.

Conclusion

All of this put together signals only in one direction–a bright future of enterprise mobility. The touch of artificial intelligence adds new dimensions to mobility and enables companies to make the most of it. This AI-mobility combination creates a myriad of opportunities for the workplace and business.

If you still have not considered how AI will impact enterprise mobility, it is high time to get started and craft your IT program around it, because your competitors are already doing it.

Stay tuned as 2018 brings forth many developments in the field of enterprise mobility.

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about the author

Aman Chaurasia

Aman is a Digital Marketing Executive at TechJini. He frequently writes blogs on IoT, Automation and Digital Transformation.