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In today's IT world, two different approaches to connected devices are making headlines. The internet of things (IoT), a much broader term for a new reality in which nearly everything we use has a chip inside it connecting it to the global internet, and machine-to-machine (M2M) processes, which focuses on connecting manufacturing devices and equipment in a physical production space.   Because of its vast, nearly infinite set of applications, the internet of things is obviously much more attention-grabbing and popular. Machine-to-machine technology is still primarily discussed in trade journals and in meeting rooms where executives discuss ways to improve industry processes. (Read 10 Steps to Strengthen Your IoT Security for more information on IoT security.)   With that in mind, there are some key similarities and differences between M2M and IoT. Both will play important roles in the future development of device connectivity services. They will all ha

  Together with the latest internet of things (IoT) devices, artificial intelligence (AI) has already begun to change the universe of insurance not only by making it more affordable, but by making accessibility and underwriting much better. There are some that even believe that someday, insurance itself might become a thing of the past. (Read also: How Explainable AI Changes the Game in Commercial Insurance.)   Machine learning paired with complex AI algorithms hold the ability to completely transform practically any industry. To say the least, the insurance industry is not an exception. Since its inception, the insurance industry has been powered by mathematics; originally only an underwriter could calculate reliable risk rates and offer acceptable payouts that would not shut down the insurance company.   With the advancement of AI, it is possible to employ it to repeatable operations that are based on logic and mathematics at a higher reliability rate than that done by huma

  Two different types of approaches to connected devices are making headlines in today’s IT world. One is machine-to-machine (M2M) processes, which focuses on connecting manufacturing devices and equipment in a physical production space, and the internet of things (IoT), a much broader term for a new reality where nearly everything we use has a chip inside it connecting it to the global internet.   Obviously, the internet of things is much more attention-grabbing and popular because of its broad, nearly infinite set of applications. Machine-to-machine technology is still mostly talked about in trade journals and in rooms where executives figure out how to improve industry processes. (To learn about IoT security, check out 10 Steps to Strengthen Your IoT Security.)   With that in mind, M2M and IoT have some key similarities, as well as some important differences. Both will play major roles in the development of device connectivity services moving forward. Specifically, they will

Two different types of approaches to connected devices are making headlines in today's IT world. One is machine-to-machine (M2M) processes, which focuses on connecting manufacturing devices and equipment in a physical production space, and the internet of things (IoT), a much broader term for a new reality where nearly everything we use has a chip inside it connecting it to the global internet.   Obviously, the internet of things is much more attention-grabbing and popular because of its broad, nearly infinite set of applications. Machine -to-machine technology is still mostly talked about in trade journals and in rooms where executives figure out how to improve industry processes. (To learn about IoT security, check out 10 Steps to Strengthen Your IoT Security.)   With that in mind, M2M and IoT have some key similarities, as well as some important differences. Both will play major roles in the development of device connectivity services moving forward.

Next-generation 5G networks are expected to deliver far much more data much more quickly than 4G, which expands the possibilities of real-time communication.   The ramifications of that capability extend not just to remote data transmission, but to new levels of automation that can dramatically advance industry, specifically: manufacturing, healthcare, retail, transportation and agriculture. (Read All Your Questions About 5G — Answered.)   How Will 5G Affect Manufacturing? 5G makes it possible to build "smart factories" that can draw on the power of connectivity for to achieve greater safety, efficiency, and automation   As a ZDnet article put it in "Will the smart factory benefit from 5G? Industry experts weigh in", the benefits of 5G for manufacturing include better data streams in real time, though it goes beyond that through enabling greater flexibility:   "Through Internet of Things (IoT) networks of sensors

                    . Start freelancing with skills outside your job description When you're thinking about your previous jobs, don't limit yourself to the job description or main responsibilities. In most full time jobs, employees find themselves doing things that weren't originally in their job description. For example, if you were responsible for running a company's social media accounts, you probably picked up some writing skills too. So instead of only thinking about your social media skills, you may also be suited for copywriting or marketing work. Add every specific skill to the list – the more skills you can name, the better. Start freelancing using your hobbies and self-taught skills Your skills aren't limited to just what you've been paid to do. Go beyond the things you've already gotten paid for to things you've taught yourself, or even your hobbies. What do y