Cloud Services are the Future of the IoT

[fa icon='calendar'] Nov 21, 2016 1:46:12 PM / by Brittney Borowicz posted in Big data, Cloud, cloud service, connected devices, data, General, Internet of Things, IoT, smart technology, tech, technology

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By Nathan Rockershousen, Technical Writer

The Internet of Things (IoT) is composed of an assortment of connected devices, but without cloud computing services, these devices wouldn’t have much more functionality than the standard household device. This is because the cloud allows devices to outsource the analysis and storage of any data that is collected through their connected sensors. The cloud’s internet-based computing methods act as the brain for IoT devices, removing the boundaries of inter-device, memory and space constrictions.

The IoT is growing at an exponential rate, making cloud services more important than they have ever been before. In order for the cloud infrastructure to accommodate for the mass amount of data being stored and transferred within the cloud, it will need to be developed at a rate similar to IoT technology. The cloud was designed on the very basis of being able to store information remotely, making it the optimum environment for the interconnectivity of internet-enabled devices. If the IoT industry plans to succeed, it is critical that the significance of cloud services is recognized.

There are many benefits offered by the cloud that would enhance the world of smart technology. The ingenious decision to move the serious data processing functionality of these devices to the cloud has opened the door for further technological advancements. Using the cloud for big data storage and analytics has done two main things that have helped enable the accelerated development of IoT technology. The first thing it does is enable devices to be smaller and use less power, making them much easier to integrate within any home environment. The second is that it makes it possible to continuously update the firmware as needed, which removes the burden from consumers and allows devices to be used for longer periods of time.

The overall accessibility and user-friendliness of IoT devices can be accredited to the power of the cloud. Having devices that every consumer can deploy within their smart homes is definitely a positive for the IoT. That being said, the cloud is able to do so much more for smart technology than simply make it easier for consumers to use devices. Creating a network of devices is entirely dependent upon having a reliable method of communication. The implementation of cloud infrastructure in IoT devices enables the ability to utilize multiple devices in a single network, while communicating simultaneously. Once multiple devices are communicating within the same cloud, the information and data that is collected can be accessed by all devices, thus establishing a more synchronized system.

This always available, web-based service is a perfect vehicle for helping the IoT thrive. Current cloud infrastructure isn’t quite large enough to support the expected rise in IoT devices over the next couple of years. That being said, more advanced cloud infrastructures are being developed to help compensate for the influx of connected technology. As the network of devices continue to grow, it will be crucial that the capabilities of the cloud are maintained as it is truly the only technology available that is equipped for storing and analyzing all the data created by the IoT.

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The Internet of Things: Changing Big Data Analytics

[fa icon='calendar'] Jun 13, 2016 2:14:53 PM / by Brittney Borowicz posted in analysis, analytics, Big data, big data analytics, Consumer, data, data-gathering, device, General, internet, Internet of Things, IoT, Nathan Rockershousen, outscale, technology, Will Hayles

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By Nathan Rockershousen, Technical Writer

The collection of data through large datasets is becoming increasingly popular among businesses. The prominence of the Internet of Things (IoT) has created a surplus of data that is now being utilized for statistical analysis. Big data analytics and IoT devices are interconnected in the sense that IoT devices enable companies to access large quantities of information. This information is then used to help gather details about the consumer and the product. IoT technology is transforming the collection of data and the information that the data provides allows for the development of more advanced IoT devices.

As more devices become connected to the internet, there will be more data that companies will be responsible for sorting through. Once IoT technology matures and becomes widely adapted, big data analytics will no longer be optional. The analytical value in having access to large datasets that are continuously updating can be substantial for any organization. Not investing in big data technology that can sort through the immense quantity of the data gathered will be a major hindrance in maintaining IoT devices. Will Hayles, a technical writer for Outscale, reinforces this concept by stating, “Without the proper data-gathering in place, it’ll be impossible for businesses to sort through all the information flowing in from embedded sensors.” This essentially means that the inability to utilize data efficiently will create obstacles in terms of competing with other IoT-based companies as analytics can provide insight into consumer wants and needs.

The integration of IoT technology and big data has the potential to create higher expectations for technological innovations. Simply being able to collect data from IoT devices will not be sufficient. Companies need to implement some sort of analytical platform that can sort through the vast amount of data gathered. Big data analytics and the IoT are interdependent. When organizations are able to access information about their products, they are able to immediately update the technology to provide new and improved content to users in addition to being able to improve any issues. Essentially the influx of data is creating a higher standard for technological innovation. Any business that does not wield the power of big data analytics will quickly lose relevance due to an inability to recognize the potential for improvement that is provided by collected data.

The adoption of big data analytics within the corporate environment is inevitable as wirelessly enabled devices begin to play a larger role in the consumer lifestyle. This change will not happen overnight, but it is crucial that organizations start to develop the analytical tools necessary to manage vast amounts of data. This means that the infrastructures of many businesses will need to be modified in order to compensate for the changing nature of IoT technology.

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Data Analytics and the Internet of Things

[fa icon='calendar'] Aug 31, 2015 8:17:29 AM / by Brittney Borowicz posted in analytics, Big data, connected devices, data, data security, General, Internet of Things, IoT, manufacturers, pedometer, security, Sensors

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One of the major promises that discussions of the Internet of Things (IoT) have put forward, is the advances to be made in consumer insight. The idea is that sensors and connected devices can send data on an open loop back to the manufacturer for analysis. This process would presumably secure many advances in a wide variety of things; not only would companies be able to understand their clients, but sensors may even be able to tell us more about the product in general. For example, pedometers on livestock have given scientists more knowledge about when cows are in heat, allowing for a 66% increase in insemination rates.

Many have referenced discoveries such as these to be the real goldmine of the IoT. Using big data analytics, manufacturers could generate the type of insight that could propel future developments. However, the concept of big data analytics is still a bit fuzzy to most people. A lot of the general knowledge of analytics is overshadowed by the half-belief that information is fed to a group of ancient mystic palm readers who come up with practical applications for the infinite mass of soundbite data. In reality, the sorting mechanism used to interpret the data from connected sensors is rarely earth-shattering and could even be accomplished on a closed loop. This is critical to keep in mind, especially as companies make decisions regarding data security.

Read more at ReCode.

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ELECTRIC POWER Panel: Utilization of "BIG DATA" to Transform the Energy Industry

[fa icon='calendar'] Apr 8, 2015 8:19:40 AM / by Brittney Borowicz posted in Big data, Chicago, Electric Power Conference, Energy Industry, energy intelligence, Events, General, Internet of Things, IoT, John Marchiando, plant data, power plant, Rosemont, utility data

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When: April 22, 1:45PM - 3:45PM
Where: Donald E. Stephens Convention Center, 9291 Bryn Mawr Avenue, Rosemont, IL

Session Title: Utilization of "BIG DATA" to Transform the Energy Industry

This session will explore how plant data analytics is being used for plant efficiency, asset optimization and dispatch of generation assets.

Presentations and Panelists:
"How the Internet of Things Will Transform the Energy Industry" - John Marchiando, VP of Business Development at Grid Connect
"Big Data Analysis: Mining and Analyzing Utility Data" - Michael Steifman, CEO and Founder of UtiliSave
"What is Energy Intelligence?" - Gregg Dixon, Senior VP of Marketing and Sales at EnerNOC
"Advanced Technology Update" - Matt Evans, Director of Smarter Service at Siemens Energy, Inc. and Bernie Cook, Director of Maintenance and Diagnostics at Duke Energy Corporation

Chair:
Roosevelt Huggins, Associate Vice President at Black and Vetch Corporation

About the ELECTRIC POWER Conference + Exhibition:

As the official event of POWER magazine, the ELECTRIC POWER Conference + Exhibition is a platform for generating companies to come together in one place to address current industry trends and the challenges confronting power plant professionals today. It's a chance to go beyond the pages of POWER and interact with the stakeholders and newsmakers you read about in each issue.

Conference Website: http://www.electricpowerexpo.com

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