Internet of Things
From IoT Vision to Reality
Internet of Things Solutions That Get Results
By Geetha Dabir, Vice President, and Bridget Karlin, Managing Director, Internet of Things Group, Intel Corporation
In this article, we look at how reference designs and technology building blocks from Intel and members of the Intel®
A Internet of
Things Solutions Alliance enable companies to develop end-to-end IoT solutions. We consider the way these building blocks are evolving to help create more powerful and effi cient solutions for collecting data, providing security, performing data analysis, and delivering business insight. We also discuss how implementations using these building blocks deliver real ROI.
The Internet of Things While references to the “Internet of Things” can be found as early as 1999, mainstream interest began around 2008 when things connected to the Internet began to outnumber people. Today, the IoT is growing
major factor in the adoption of any technology is return on investment (ROI). Businesses want to see gains in productivity, effi ciency, revenue streams, and other value-producing facets of business. When a technology has no track record, busi- nesses base their decision to adopt it on careful analysis of its potential for delivering positive results. Such has been the case for the Internet of Things (IoT) – until now.
rapidly and its technologies are more mature. But businesses on the sidelines still have concerns. They want to know that all the necessary technologies are in place. They want to see how these technologies scale to form operation-wide, end-to-end solutions. Most importantly, they want to see how these solutions generate value.
An IDTechEx report, “Internet of Things (IoT): Business Opportunities 2015-2020,” notes that many organizations are stymied by tech- nical hurdles. Equally concerning is the inability to effectively use IoT data. The McKinsey Global Institute reports in “The Internet of Things: Mapping the Value Beyond the Hype,” that only one percent of IoT data fi nds an actionable purpose. This low rate is attributable to the use of sensor data to capture system anomalies rather than opportunities for
intel.com/embedded-innovator | Embedded Innovator | 13th Edition | 2016 | 5
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