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.
Ten large oil refineries produce about 10 terabytes of data each day, which equates to the entire printed collection of the U.S. Library of Congress.
One modernized city the size of Singapore can generate about 2.5 petabytes of data every day, which translates to all U.S. academic research libraries combined.
And with more than 14 billion, data-transmitting devices connected to the Internet today, growing to 50 billion by 2020, it is little wonder that most of us are overwhelmed by this mind-boggling explosion of data.
Turning this flood of raw data into useful information and even wisdom for better business decisions and quality of life experiences is what the Internet of Everything (IoE) is all about. This is a daunting task. According to IDC Research, just .5% of all data is used or analyzed, and online data volumes are doubling every two years from a combination of mobile devices, videos, sensors, M2M, social media, applications and much more.
Connected Analytics Portfolio
Last Thursday, however, Cisco unveiled our Connected Analytics portfolio for the Internet of Everything, a unique approach that includes software packages to bring analytics to the data, regardless of its location or whether it is in motion or at rest. This new generation of analytics tools for IoE can convert more and more data into valuable intelligence — from the inter cloud, to the data center to the network’s edge.
Cisco today announced a data and analytics strategy and a suite of analytics software that will enable customers to translate their data into actionable business insight regardless of where the data resides.
With the number of connected devices projected to grow from 10 billion today to 50 billion by 2020, the flood tide of new data — widely distributed and often unstructured — is disrupting traditional data management and analytics. Traditionally most organizations created data inside their own four walls and saved it in a centralized repository. This made it easy to analyze the data and extract valuable information to make better business decisions.
But the arrival of the Internet of Everything (IoE) — the hyper-connection of people, process, data, and things – is quickly changing all that. The amount of data is huge. It’s coming from widely disparate sources (like mobile devices, sensors, or remote routers), and much of that data is being created at the edge. Organizations can now get data from everywhere — from every device and at any time — to answer questions about their markets and customers that they never could before. But IT managers and key decision makers are struggling to find the useful business nuggets from this mountain of data.
As an example, take the typical offshore oil rig, which generates up to 2 terabytes of data per day. The majority of this data is time sensitive to both production and safety. Yet it can take up to 12 days to move a single day’s worth of data from its source at the network edge back to the data center or cloud. This means that analytics at the edge are critical to knowing what’s going on when it’s happening now, not almost 2 weeks later.
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).
In October at the Internet of Things World Forum we announced the Young Women’s Innovation Grand Challenge. This challenge was announced to help bring more women into the sciences as we connect more of the unconnected with the Internet of Things. I’m pleased to announce that the IoT World Forum Young Women’s Innovation Grand Challenge is now open for submissions!
This challenge came about as a way to help address one of the biggest challenges to the Internet of Things – the dearth of technologically trained workers. Over the next few years, technology jobs –those requiring a degree in science, technology, engineering or mathematics (STEM), are expected to grow twice as fast as non-STEM jobs. While the demand for this workforce is growing, women are a significantly under-utilized resource. In the United States, a little over 18% of computer science and engineering degrees are awarded to women – while in general more women are getting bachelor’s degrees, the number of women in STEM has declined over the last 20 years from highs of 20.9% for engineering in 2002 and 29% for computer science in 1991. Read More »