You may be aware how tech companies, particularly Amazon, are transforming store shelves worldwide by coming the digital aspects of their online store with easy pick up. How literally, shoppers can just purchase items with the click of the mouse and pick them up in stores without waiting in huge lines. You may also be aware of various delivery methods, such as drones making headway in this regard. However, it isn’t just shopping that is becoming digitized or innovative, but the whole process of manufacturing is as well. Manufacturing is a hot topic because it has been a scourge of debate among politicians around the world with local jobs being outsourced in favor of cheap labor overseas and technological innovations “taking over jobs” so to speak.
The internet of things (IoT) is not only changing how businesses operate, but also how people live. With the wide availability of sensors, cloud and edge infrastructures, platforms, analytics, and more, IoT technology has evolved in recent years. But in 2019, the presence of IoT in the enterprise will transform as a whole, according to Forrester’s Predictions 2019: The Internet of Things report released on Tuesday.
Source: Internet of Things in 2019: Five predictions | TechRepublic
Could new laws, blockchain and more stringent network security procedures be the solutions to industrial internet of things security issues?
On September 28, California’s SB 327 was signed by the governor, making it the first such law in the U.S. mandating internet of things (IoT) device manufacturing security provisions (a similar, though more extensive, federal bill known as the Internet of Things (IoT) Cybersecurity Improvement Act of 2017 still sits with the Committee on Homeland Security and Governmental Affairs, and I have not seen any recent activity on its development).
The new California law states that connected devices must be manufactured with “reasonable” security features. This means IoT device makers may need to start providing unique preprogrammed device passwords (instead of default passwords) or embedding functions that force users to authenticate before access is granted to the device for the first time.
Intel launched Intel System Studio 2019, updating the Linux-friendly embedded toolsuite with improved performance and enhanced I/O analysis. Meanwhile, due to soaring demand for Intel’s Core and Xeon sales, it’s scaling back its lower-end IoT business.
Intel has a habit of launching and the discontinuing special projects outside its core processor business, but one experiment that has stuck around is Intel System Studio. A lot has changed since we last checked on the Intel System Studio (ISS) development toolsuite when it launched in 2013. For example, while initially targeting both mobile and embedded software development for Linux and Android running on Intel processors, with the dissolution of Intel’s mobile business, it is now focused on optimizing embedded IoT applications running on its Atom, Core, and Xeon processors.
Whenever I’m away from home, in the morning I like to check in on my family by looking at the doorbell camera where I can see them leave for work and school. In the evening, I can generally tell if my daughter is upstairs in her room based on the lighting scenes there; I can also tell when my husband is working out. Sometimes, if I try to call them and they aren’t home, I check in on our car to see where it (and they) might be.
While my family is aware of all of the devices we have, sometimes my use of those devices does creep them out a bit. But they know me, love me, and understand that I do this in order to connect with them when I am on the road. And if they asked me to stop checking in, I would.
Discussion around digitalization of manufacturing evokes a variety of opinions, ranging from optimistic to not-so-optimistic. These conversations exist because digitalization cannot be overlooked or ignored. The evolution of manufacturing demonstrates growth. As per BLS data, there has been an adjusted growth of almost 80 percent in manufacturing output from 1987 to Q1 of 2017 in the US. Pew Research also reveals a remarkable growth of 166 percent in manufacturing output of durable goods in about the same period, with output growth of nondurable goods at 17 percent. While the data clearly indicates that manufacturing does not require a spark of resurgence, there are still challenges. Operational efficiencies struggle to keep up with growth. Costs are mounting. There’s unplanned downtime, and the pressure of customized output. The way to remain competitive is through a commitment to digital transformation. A half-hearted approach will not yield the right results.
It”s not surprising that emerging technologies like blockchain and the Internet of Things draw a great amount of interest among enterprises. These technologies separately come with significant potential to improve challenges that organizations face, such as risk management and operations tracking. Only a small subset of businesses have started implementing the Internet of Things, however, blockchain may be able to change that, and pairing these two solutions together can unlock possibilities for businesses. What should enterprises know about implementing blockchain, and how it might help the Internet of Things?
What is the missing protocol that will prove an essential companion to the internet of things and the data economy that comes with it? Blockchain, sort of. In this article, Henri Pihkala discusses the demand for a real-time data economy and what’s needed to support the secure transport, storage and monetisation that the new data economy demands.