Process optimisation or troubleshooting? Based on our experience supporting real-time analytics across almost 2M devices around the globe, Mobile device analytics can be used to help enterprises in two different areas: Troubleshooting and Process Optimisation....
Artificial Intelligence (AI) in mobile device management and mobile process optimization. Part 3 (of 3): Success is built on trust and partnership
In the first part of this blog series I discussed how modern data processing systems and human experts can together help you to optimise your mobile processes. In the second part I then looked at recent developments in artificial intelligence that mean...
Artificial Intelligence (AI) in mobile device management and mobile process optimization. Part 2 (of 3): Deep Learning, a new age in AI
In the first part of this series I discussed how the ability of computers to process large amounts of data fast and efficiently can help us manage mobile processes better, but also the role that human expertise and experience still plays. However, in the last few...
Artificial Intelligence (AI) in mobile device management and mobile process optimization. Part 1 (of 3): The value of data and human experts
In 1997 IBM's Deep Blue computer beat chess world champion Garry Kasparov by evaluating 200 million chess positions per second. Since then, computers have achieved even more impressive results, with standard laptop computers beating even the best human chess players...
Enterprise workers, and the IT teams that support them, know that enterprise mobility’s success hangs on batteries in each device being healthy and able to last an entire shift of work – and Elemez Battery Essentials provides information exactly for that purpose. With...
Real-time mobile analytics can help organizations increase the visibility of their mobile devices and ensure availability.
B2M achieves conformance with OpenChain Project for effective management of open source software.
Mobile workers are suffering because of issues with mobile devices. Our blog explains how real-time analytics can help ensure availability.
Can the ‘Check Engine Light’ concept be applied to mobile performance management?
Organizations are using mobile tech to improve customer service, offer new services and make mobile workers more productive, flexible and efficient.
You may have read the recent story that Apple devices were being deliberately slowed down by Apple as they age. If you read this story, you will no doubt notice that the root cause of the problem is that the rechargeable batteries in modern mobile equipment chemically age at an unpredictable rate.
The traditional and accepted way for organizations to care for the mobile devices that their workers use is to monitor them through a mobile device management (MDM) system and provide troubleshooting as necessary, typically when the support desk gets a call with a problem.
Ever since businesses began using mobile computers to support their operations millions of devices have failed in the field at one time or another.
Analysis of device uptimes and the types of networks accessed allows enterprise IT organizations to modify device security policies or investigate why a given device or group of devices isn’t being used to its full potential.
One of the biggest variables to optimizing a mobile device population is deciding how many devices to keep in a spare pool to issue workers when their primary device needs maintenance.
Blog: As Enterprise Mobility Matures, Recognition for the Strategic Value of Mobile Device Analytics Grows
Now that mobile devices and applications are common, can enterprise mobility still provide value and differentiation? Absolutely!
Royal Mail completed one of the largest handheld device rollouts in recent history. When we first announced the programme a few years ago, we noted that handheld devices are not just tools, but in fact are a key component of our transformation.
It is important to understand that mobile device management and mobile device analytics are not the same thing. You need both of them to achieve the best possible uptime for your mobile devices, and the best productivity for the workers who rely on them.
A lot of people we talk to, including many that are very experienced with mobile computers and apps, don’t completely understand what enterprise mobile analytics technology is, or the value it can provide.
Reaching our full potential requires embracing innovation. It is a continuous journey and involves taking risks. But the rewards are worth the trip.