As enterprise mobility evolves, successfully predicting user requests and quickly deploying new technologies will become top IT priorities in 2018 and beyond. Over the next five years, what other mobile technology changes will businesses likely see?
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Recently, MOBI, a global Mobility Management Platform (MMP), conducted a global industry research survey to find out. By analyzing the responses of 300 IT decision makers, all of whom work for multinational organizations that employ at least 1,000 workers, a few surprising future enterprise mobility trends were revealed.
Artificial Intelligence’s Very Real Potential
A quick scan of recent media headlines makes Artificial Intelligence (AI) sound like a worst-case scenario for human workers, but IT leaders certainly don’t feel that way. In fact, a reduced human workforce was the least likely outcome of AI implementation according to these experts—only 45% believe it’s a possibility where they work.
Instead, technology decision makers believe AI will have a positive enterprise impact (well, 99% of them anyway). Among a long list of possible benefits, expect intelligent mobile devices to help workers be more productive, eliminate errors, and reduce the need for employees to perform mundane or repetitive tasks moving forward.
When looking at how male and female IT workers feel about AI’s potential impact, very few differences can be distinguished. The most noticeable discrepancy between these male and female decision makers is how likely each group believes this technology is to eliminate human errors. While 63% of male decision makers anticipate this happening, only 51% of their female counterparts believe this is a realistic outcome.
Older IT leaders seem much more likely to dismiss AI and its enterprise effects entirely. Compared to the average respondent, those who are at least 50 years old are more than four times as likely to believe AI will not have much, if any, enterprise impact at all.
Breaking Down Barriers
For many organizations, implementing AI is an ongoing process that is still years away from completion. When it comes to automated technology solutions, which current barrier seems to frustrate enterprise mobility managers most?
Global IT leaders often fail to point to one universally experienced complexity. Instead, a combination of several factors seems to slow down or deter most corporate automation efforts. After all, the four most frequently encountered AI barriers—cost, security unknowns, employee morale concerns, and needing to re-train employees—were mentioned by somewhere between 20% and 28% of all decision makers surveyed. […]
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read more – copyright by www.itproportal.com
As enterprise mobility evolves, successfully predicting user requests and quickly deploying new technologies will become top IT priorities in 2018 and beyond. Over the next five years, what other mobile technology changes will businesses likely see?
copyright by www.itproportal.com
Artificial Intelligence’s Very Real Potential
A quick scan of recent media headlines makes Artificial Intelligence (AI) sound like a worst-case scenario for human workers, but IT leaders certainly don’t feel that way. In fact, a reduced human workforce was the least likely outcome of AI implementation according to these experts—only 45% believe it’s a possibility where they work.
Instead, technology decision makers believe AI will have a positive enterprise impact (well, 99% of them anyway). Among a long list of possible benefits, expect intelligent mobile devices to help workers be more productive, eliminate errors, and reduce the need for employees to perform mundane or repetitive tasks moving forward.
When looking at how male and female IT workers feel about AI’s potential impact, very few differences can be distinguished. The most noticeable discrepancy between these male and female decision makers is how likely each group believes this technology is to eliminate human errors. While 63% of male decision makers anticipate this happening, only 51% of their female counterparts believe this is a realistic outcome.
Older IT leaders seem much more likely to dismiss AI and its enterprise effects entirely. Compared to the average respondent, those who are at least 50 years old are more than four times as likely to believe AI will not have much, if any, enterprise impact at all.
Breaking Down Barriers
For many organizations, implementing AI is an ongoing process that is still years away from completion. When it comes to automated technology solutions, which current barrier seems to frustrate enterprise mobility managers most?
Global IT leaders often fail to point to one universally experienced complexity. Instead, a combination of several factors seems to slow down or deter most corporate automation efforts. After all, the four most frequently encountered AI barriers—cost, security unknowns, employee morale concerns, and needing to re-train employees—were mentioned by somewhere between 20% and 28% of all decision makers surveyed. […]
Thank you for reading this post, don't forget to subscribe to our AI NAVIGATOR!
read more – copyright by www.itproportal.com
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