Earlier this year, I was having a business dinner with an important client in London when I received an IM on my iPhone. The message was from a Cisco colleague, and it said, “I need you to approve a purchase order. Right now.”
So I stepped away from the table, launched an app on my iPhone, read the purchase order, and clicked “approve.” Then I returned to my seat and went back to our dinner without missing a beat. The whole process took maybe two minutes.
Just a few years ago, this transaction would have required a laptop tethered to the network in a hotel or office, and it would have completely disrupted the dinner. This pace of change, leveraging mobility solutions, across IT is unprecedented.
Why are so many businesses turning to mobile enterprise apps? According to Gartner, more than 25 percent of enterprises will have an app store by 2017. Mobile apps are making the promise of BYOD a reality. People love their apps and the highly personalized experience they deliver. By bringing their own devices to work, people can enjoy their work more, use the devices they choose, and do their jobs better and faster—from anywhere. According to Cisco’s latest study, the Financial Impact of BYOD, they can also be more innovative and productive. At Cisco we firmly believe that work is a thing you do, not a place you go. Read More »
Tags: byod, context-aware, data in motion, enterprise apps, location based services, mobility, security, video, wireless
When you think about the technology transitions that have happened in just the past 20 years and the number of connections that have been enabled, it’s truly mind boggling. The world wide web was just in its infancy in 1993. The first smartphone was introduced less than 10 years ago, and by 2012, that number had grown to one billion. Today, we have more than 10 billion connected devices. As the number of things connected to the network increases – from data, voice, video, and smart devices to new breeds of applications – the opportunities for new business value increase exponentially. The potential value at stake across private industries alone is estimated to exceed $14.4 trillion by 2022.
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Tags: cisco live, data in motion, Internet of Everything, internet of things, IoE, IoT
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