Humble Beginnings of the IoT

[fa icon='calendar'] Sep 26, 2016 2:44:23 PM / by Brittney Borowicz posted in cloud computing, data analytics, General, Internet of Things, Internet Society, IoT, Kevin Ashton, M2M, machine to machine, networking, RFID, tech, technology

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The Internet of Things (IoT), that has been portrayed as an impending revolution, is not a new concept, but is the culmination from many years of connecting objects through computer networks. Kevin Ashton didn’t coin the phrase we use today until 1999 (while referring to RFID tags in supply chains), but the idea that he was employing came about earlier in the 90s when machine-to-machine (M2M) industrial solutions offered closed networks for device communication. Although these types of connections are not new to the tech world, they have only recently gained more ground in potential applicability.

This past October, the Internet Society put out an IoT overview and marked a number of key trends that have sparked the recent interest and excitement regarding connected devices. The pervasiveness of cheap connectivity has dramatically increased over the past few years, which is visible in one way because of the ubiquity of home Wi-Fi networks. In addition, the widespread adoption of IP-based networking creates an avenue for interoperability between devices.

Advances in circuit development and its miniaturization have also drastically changed the way we think about connectivity. The smart phones that many of us have in our pockets possess the processing power which surpasses some of the supercomputers of the 90s. Implementing internet connectivity into a device is drastically more advanced compared to when Kevin Aston first praised the possibilities of RFID and can be accomplished in much more diverse applications.

Finally, the most recent developments in data analytics and cloud computing have boosted the excitement to the point it’s at today: with hundreds of articles postulating the potential use-cases and applicability of the IoT. These movements really allow for the data sharing capabilities that enables a product to be “smart” and establish the support system for powerful third-party developers.

While it is exciting to visualize what the IoT will look like when it finally arrives, it’s helpful to look back a little and see how far we’ve come already. The integration of the internet into our daily lives has been an ongoing process for many years, and a lot of the benefits of these trends are soon to become a reality.

For more information, check out the Internet Societies’ overview: http://bit.ly/1XO2YGf

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How Big Data Affects Networks in the Internet of Things

[fa icon='calendar'] Aug 8, 2016 3:21:09 PM / by Brittney Borowicz posted in business, connected devices, data, data analytics, echI, Edge, Edge IoT, General, industry, information, Internet of Things, IoT, Joe Duncan, network, oT data, predict, resolve, tehcnologyt

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By Joe Duncan, Marketing

The Internet of Things (IoT) has been talked about as an industry dealing in data, because of the massive amount of information produced by sensor technology. In fact, harvesting data from connected devices has become one of the key excitements concerning IoT technology, as it allows for the drastic advance in the analytics of failure, evaluation, implementation and efficiency. With the newfound information, businesses and industries can know sooner and with more accuracy how their products/production are being affected by external factors. This information could be used in an industrial environment to regulate the humidity of a manufacturing facility when dealing with a sensitive material, or it could be used in the context of a grocery store advertising different coupons to a regular customer who is known to never purchase coffee. In these cases, advanced data analytics is crucial to the development of quick fixes when opportunities arise. Efficacy and speed is the name of the game.

However, the difficulty that has already begun to arise with this technology is the volume at which this data is gathered. Cisco throws out the fact that the past 2000 years have garnered about 2 exabytes of data altogether, while in the current era we are generating that amount every day. Questions arise about the value of all this data, and how to sort through it effectively so that a timely response can be implemented. One suggested resolution has been in the development of more advanced network technology at the local level. With the cloud being a big source for the analytics of IoT data, there is progress to be had by moving that process back to the device itself. This has process has been called moving toward the Edge, or more simply, Edge IoT analytics.

Companies able to invest in the stability and speed of their networks will have the ability, with the development of advanced data analytics through the IoT, to predict and resolve problems earlier. In addition, the cost in bandwidth to transport this massive amount of data to the cloud is far greater than analyzing it locally. Businesses and institutions interested in being competitive as the IoT progresses will have to capitalize on network technology which leverages computer capacity closer to the local network and to the device itself. Reliance on servers for the analytic and decision-making process will become obsolete as the increased volume of data makes that process expensive and inefficient.

The creation and sustainment of networks will go through massive changes as the IoT progresses. A high demand for local analytics will notably adjust the way we do networks especially when it comes to their efficiency and security.

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