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How AI and machine learning affect end-user computing
End-user computing administrators need to start paying attention to AI and machine learning, not because these technologies will take over their jobs, but because they can bring productivity benefits to both business software and IT management tools. As AI and machine learning capabilities grow in employees' applications, IT must know how to handle them, what data they can help glean, and how to get users involved in the customization process. This month's cover story explores how AI affects end-user computing and why users themselves are at the forefront of this issue.
In addition, this month's Deep Dive article looks at chatbots and how they can benefit the enterprise. Our columnists explain more about how AI can transform workflow processes and why IT should consider Macs for business use. Plus, the Device Spotlight shines on Samsung's latest Android flagship, the Galaxy S9, which brings a few fun new features for consumer and business users.
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Features in this issue
The Samsung Galaxy S9 features are pretty similar to that of the S8. But a dual rear camera and other interesting specs continue to make the Galaxy an option for any user.
The bot that chattered with you over AOL Instant Messenger isn't too far off from the way chatbot technology can work in corporate mobile apps.
News in this issue
Machine learning capabilities have made applications smarter, but IT pros are still in the early days of learning AI skills. Luckily, some tools only require the knowledge of an end user.
Columns in this issue
For the most part, vendors and manufacturers are in control of operating system updates today. IT admins won't be getting their powers back anytime soon.
There's no way around it: Many users just love Apple products. IT pros that want to support Macs in the workplace must take into account several considerations.
AI technology is growing fast, and end-user computing administrators need to be prepared for the multitude of benefits it can bring IT and employees.