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Stanford’s monthly research on working from home reported nearly 13% of full-time employees are working remotely, while about 28% of other full-time employees are in a hybrid workplace, totaling about 41% of the workforce that works remotely at least part of the time.
The Apple vs. Android conversation has been an ongoing debate for years, and it isn’t coming to a conclusion anytime soon. Some businesses choose to use only Android or Apple devices, while others prefer to mix the two. Whether your organization uses Android or Apple, one fact is clear: your IT team will need mobile device management (MDM) to secure and manage your remote devices.
At the moment, Microsoft Windows is the most popular operating system in the U.S., with a market share of 32.63%. Due to the rising bring your own device (BYOD) trends and an increase in remote work, many employees are now using remote Windows devices to access organizational data and carry out business tasks. To protect confidential data and secure these remote devices, organizations depend on Windows mobile device management (MDM).
With remote work and bring your own device (BYOD) practices on the rise, mobile device management (MDM) has become a necessity. Using mobile device management, IT teams are able to control, secure, and manage mobile devices, such as smartphones, laptops, and tablets. In this mobile device management (MDM) overview, we will discuss what MDM is, its importance in the IT world, and best practices to follow.
Earlier this month, we released the first version of our new natural language querying interface, Query Assistant. People are using it in all kinds of interesting ways! We’ll have a post that really dives into that soon. However, I want to talk about something else first. There’s a lot of hype around AI, and in particular, Large Language Models (LLMs).
Location-based marketing has been around for a while. Marketers have used ZIP codes to send personalized marketing messages to target audiences. However, these tactics are limited. For example, you can’t trigger ads in real-time or at the moment of highest intent. But what if you could target the right customers at the right place and time? Enter geofencing.
Generative AI projects like ChatGPT have motivated enterprises to rethink their AI strategy and make it a priority. In a report published by PwC, 72% of respondents said they were confident in the ROI of artificial intelligence. More than half of respondents also state that their AI projects are compliant with applicable regulations (57%) and protect systems from cyber attacks, threats or manipulations (55%). Production-grade AI initiatives are not an easy task.
If you’re anything like me, you’re burnt out by all the hullabaloo surrounding AI lately. It just happens to be one of those trending tech topics everyone and their mother wants to talk about these days (case in point: ChatGPT). Truth be told, a lot of this fuss is justified, especially when you consider the incredible developments we’ve seen in the field of AI, to the extent where a lot of things that were once considered impossible have become a reality.
