If you think we already live in a connected world (and we do!), get ready to fasten your seatbelts.
Today, there are “only” about 10 billion connected “things” on the planet. This includes hundreds of millions of people communicating with one another in myriad ways, and a rapid increase in two-way conversations between people and machines. That is, when the machines aren’t busy “chatting” with other machines.
It may sound complicated (and it is!). But the Internet of Things is just the proverbial tip of the iceberg. The next phase of the Internet — the Internet of Everything (IoE) — will encompass 50 billion connections involving people, process, data, and things by 2020. This will drive the next wave of dramatic Internet growth and opportunity.
Cisco estimates that the IoE economy promises a staggering $14.4 trillion in Value at Stake for private-sector companies globally over the next 10 years. This value is embedded in five drivers: asset utilization; employee productivity; supply chain and logistics; customer experience; and innovation.
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Tags: asset utilization, Cisco, customer experience, employee productivity, innovation, Internet of Everything, internet of things, IoE, IoE Value Index, IoT, supply chain, value at stake
“Do you have a vision for tomorrow? Cisco does.”
Next week I’ll join Chairman and CEO John Chambers and Chief Technology and Strategy Officer Padmasree Warrior to officially kick off Cisco Live 2013 in Orlando, Florida. We’ll be sharing our vision for the new opportunities and amazing things that can happen when you connect the previously unconnected.
The Internet of the future – the Internet of Everything (IoE) – is changing how we work, live, play and learn. During our opening address, my colleagues and I will share our predictions about how the intersection of the four elements of the IoE – people, process, data and things – creates new capabilities and experiences that are more relevant and valuable than ever before.
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Tags: #cl13, #CLUS, 2013, Cisco, cisco live, cisco live #CL13, Cisco Live 2013 Orlando, cloud, education, forecast, innovation, Internet of Everything, internet of things, IoE, IoT, mobility, network, Tomorrow Starts Here
Over a decade ago, I started thinking about what life would be like with connected cars. Erratic drivers, speeding tickets and unfavorable weather could be avoided while driving. I read an article recently that takes a more in-depth look at the future of connected driving titled, Big Data: When Cars Can Talk by Jeff Bertolucci of InformationWeek. It begs the question: how can connected roads, cars and drivers make for a safer traveling experience?
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Tags: Big Data, car, cars, Cisco, connected car, data in motion, Information and Communications Technology, Internet of Everything, internet of things, IoE, IoT, network infrastructure, Smart + Connected Communities, smart connected vehicles
I’ve been spending a lot of time talking and thinking about a world in which everything is connected. The Internet of Everything isn’t some futuristic Idea that we are dreaming about, it’s charging forward at incredible speed and everything is being connected. I’d like to look at five characteristics or truths about IOE that are becoming evident:
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Tags: connections, data in motion, innovation, Internet of Everything, internet of things, IoE, IoT
In a previous post, we looked at examples of new business opportunities enabled by the Internet of Everything and the importance of evaluating Data in Motion in new ways.
Naturally, the Internet of Everything brings its share of IT challenges. Data collection starts at the network edge, including a multitude of endpoint devices and sensors in everyday objects that automatically collect, analyze and transmit data—including video—on a massive scale.
For the most part, it is data that has previously gone untapped—a giant superset of the persistent data that is the subject of Big Data today. The velocity and volume of this data make it difficult to bring it together into one place and extract value from it in a timely fashion. A key IT challenge is deciding what data to store (which can be costly) and what data to ignore (which can be a lost opportunity).
For example, high-definition video surveillance cameras combined with data analysis offer retailers insight into everything from facial recognition to age, gender and socioeconomic indicators. Retailers can also use video intelligence to create augmented reality mirrors or spot customers in need and send associates to assist them. However, not all the data from these devices needs to be stored or even analyzed, but rather used in the moment to create interactive engagements with the customers.
To address these challenges, intelligence and automated data processing must be embedded in the network. This intelligence takes the guesswork out of selecting the correct data from the torrent, because the network can filter based on relevance. At the same time, it can prioritize what data to retain and what data to discard based on value policies. This requires a flexible infrastructure where compute, storage, network and security resources can be assigned on the fly where and when needed. In most cases with Data in Motion, the application moves to where the data is, not the other way round.
Another key challenge is security, which remains paramount all the way from the edge to the cloud and back. The rapid deployment of Internet of Things and M2M technologies is leading to a proliferation of devices whose variety, data, complexity and vulnerability go beyond the traditional IT landscape. Along with the tremendous value that can be extracted from Data in Motion come new risks that require network-centric security approaches.
The Internet of Everything brings together people, process, data and things to make networked connections more relevant and valuable than ever before, thus providing unprecedented economic opportunity for businesses, individuals and countries. We are still in the early stages of evolution for Data in Motion and the impact it will have on all of us. But it is clear that the more knowledge we have, based on meaningful information pulled from a variety of data sources, the more wisdom we can gain and apply. It will profoundly change the world.
Tags: cloud, data in motion, Internet of Everything, internet of things, Machine to Machine