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  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