In Part 1 of this blog series, I talked about how data integration provides a critical foundation for capturing actionable insights that generate improved outcomes. Now, in Part 2, I’ll focus on the two other challenges that must be met to extract value from data: 1) automating the collection of data, and 2) analyzing the data to effectively identify business-relevant, actionable insights. This is where things, data, processes, and people come together.
Let’s start with automation.
After IoT data is captured and integrated, organizations must get the data to the right place at the right time (and to the right people) so it can be analyzed. This includes automatically assessing the data to determine whether it needs to be moved to the “center” (a data center or the cloud) or analyzed where it is, at the “edge” of the network (“moving the analytics to the data”).
The edge of the network is essentially the place where data is captured. On the other hand, the “center” of the network refers to offsite locations such as the cloud and remote data centers — places where data is transmitted for offsite storage and processing, usually for traditional reporting purposes. The edge effectively could be anywhere, such as on a manufacturing plant floor, in a retail store, or on a moving vehicle.
In “edge computing,” therefore, applications, data, and services are pushed to the logical extremes of a network — away from the center — to enable analytics knowledge generation and immediate decision-making at the source of the data.
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Tags: analytics, connected analytics, data, data analytics, edge, edge analytics, edge computing, future workforce, Internet of Everything, internet of things, IoE, IoT
There’s a lot at stake—$19 trillion in fact—as companies transform into digital businesses to capture value from the Internet of Everything (IoE). More than 42 percent of this value, or $8 trillion, will come from one of IoE’s chief enablers, the Internet of Things (IoT). While IoE is the networked connection of people, process, data, and things, IoT is the intelligent connectivity of physical devices that is driving massive gains in efficiency, business growth, and quality of life. So why worry about IoT when we have IoE? Simple, IoT often represents the quickest path to IoE and the $19 trillion that’s there for the taking.
Cisco Consulting Services recently conducted a blind global survey to Read More »
Tags: connected analytics, data analytics, edge computing, future workforce, Internet of Everything, internet of things, IoE, IoT
The sheer size, variety, and speed of data traversing today’s networks are increasing exponentially. This highly distributed data is generated by a wide range of cloud and enterprise applications, websites, social media, computers, smartphones, sensors, cameras, and much more — all coming in different formats and protocols.
Whether it is in the cloud or at the edge, data generated by the Internet of Everything (IoE) must be analyzed to identify actionable insights that can be used to create better outcomes (such as from process optimization or improved customer engagement). Without this critical step, data remains just “data.”
There is often an immense gap, however, between the amount of data with hidden value and the amount of value that is actually being extracted. According to IDC, less than 1 percent of the world’s data is currently being analyzed. What good is data if isn’t analyzed to gain insights?
It’s no surprise, then, that in a recent survey conducted by Cisco Consulting Services, IT and Operational Technology leaders indicated that they perceive the Internet of Things (IoT) — a critical enabler of IoE — as being about much more than just “things.” When we asked them which area (people, process, data, or things) they needed to improve most to make effective use of IoT solutions, the largest number (40 percent) indicated “Data,” while “Process” (27 percent) ranked second. “People” placed third (20 percent) and “Things” finished last (13 percent).
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Tags: analytics, connected analytics, data, future workforce, Internet of Everything, internet of things, IoE, IoT
In Monterrey, Mexico, deep economic and social gaps separate rich from poor, educated from uneducated, legal from illegal. In 2008, the city started experiencing violence related to turf battles between warring drug cartels. Drug use and high murder rates continue to steal the lives of youth, tempting those who lack the skills for traditional jobs into much higher-paying, high-risk careers of narcotics and crime.
To help young people withstand the pressure of crime and violence in cities near the United States-Mexico border, Cisco has partnered with World Learning and the United States Agency for International Development to provide information and communications technology (ICT) and entrepreneurship training at high schools. Cisco Networking Academy courses are offered as part of the program. In the first year, almost 500 students participated.
Students in Monterrey, Mexico celebrate completion of the Cisco Networking Academy IT Essentials course.
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Tags: at-risk youth, border city, Cisco CSR, corporate social responsibility, future workforce, ICT skills