When many hear the phrase “enterprise mobility,” thoughts take form of sitting in front of a laptop (or on a tablet) while sipping a fruity drink in a tropical locale. In other words, the promise of the ability to be anywhere in the world while still maintaining productivity for their job. The capacity to work remotely has increased exponentially; however, adding in artificial intelligence technology will allow it to expand such that there are no geographical constraints.
The expansion of AI technology into the realm of enterprise mobility will impact operational workflow for organizations in many ways and across departments. These departments include: user experience, applications, device management and security.
Improved security though AI
One thing that won’t change is that there will be more concerns over privacy, and there will likely need to be more advanced security practices to keep everyone’s data secure.
An organization’s cyber security measures is where machine learning (ML) comes into play. There are various ML devices that businesses can employ that will help analyze, identify and mitigate security risks. Additionally, employing ML can also help to cut down on or quickly identify cyber attacks. Then the devices have the capability of using the knowledge gained from a cyber attack to improve its capabilities for any future attacks.
Real-world applications
Meanwhile, IT departments are utilizing AI capabilities to make sense of the plethora of data that organizations have the capability of generating today. One company, Citrix—a multinational company specializing in software—has begun to utilize AI to manage everything from computers and laptops to smartphones and tablets in their offices.
They are also employing ML and user-behavior analytics to divide employee and/or client data into categories (specifically low, medium and high risks).
Continue reading to learn more about key trends in enterprise mobility.
