It’s the end of an action-packed week at Cisco Partner Summit 2013, and if you haven’t had a chance, check out our detailed recaps of Day 1, Day 2 and Day 3.
Join us over the next few days as we highlight the work of our Partner Ambassadors, drill down on the key conversations from throughout Partner Summit, and hear from Cisco executives. But to close out the week, let’s get the view from the top: John Chambers, Cisco Chairman and CEO, offered his takeaways for Cisco partners during an interview with the Cisco Channels social media team.
Much has been written about the vast number and variety of things that will soon be connected to the Internet—from milk cartons and alarm clocks to sensors and trains. Already in 2008, that number exceeded the number of people on earth. By 2020, when the next incarnation of the Internet—aka the Internet of Things—is in full swing, the number is expected to reach 50 billion. And it’s not just things that will add value and relevance to networked connections, but also people, data and processes.
Think about it. Through their interactions with the Web, social networks and devices—especially mobile devices—people have a massive multiplier effect on the amount of IP traffic traversing the network. In 2012 alone, new, more powerful smartphone technologies combined with growth in both mobile bandwidth and apps produced annual mobile data traffic nearly 12 times greater than the total Internet traffic in 2000 (Cisco Mobile VNI 2013).
Add to that a coming tsunami of constantly streaming data as sensors in just about everything become the norm—not just wearable sensors attached to our bodies, clothes and shoes, but also sensors, meters and actuators in our cars, machinery and infrastructure. And let’s not forget the critical role that processes will play in managing and automating this explosive growth in connections as well as in the collection, analysis and communication of data. People, data, processes and things. Together, they will make up the next phase of the Internet of Things—the Internet of Everything.
Data in Motion vs. Data at Rest
Zooming in on data in the age of the Internet of Everything, there’s another critical distinction that needs to be made. You see, not all data is created equal. Most of the new data being generated today is real-time data that fits into a broad category called Data in Motion. This refers to the constant stream of sensor-generated data that defies traditional processes for capture, storage and analysis, and requires a fundamentally different approach.
Let’s back up a minute. Historically, in order to find gems of actionable insight, enterprises have tended to focus their analytics or business intelligence applications on data captured and stored using traditional relational data warehouses or “enterprise historian” technologies.
However, the limits of this approach have been tested by the increase in volume of this so-called Data at Rest. The challenges inherent in collecting, searching, sharing, analyzing and visualizing insights from these ever-expanding data sets have led to the development of massively parallel computing software running on tens, hundreds, or even thousands of servers. As innovative and adaptive as these Big Data technologies are, they still rely on historical data to find the proverbial needle in the haystack.
This rising tide of Data in Motion is not going to slow down. In fact, as the Internet of Everything gathers momentum, the vast number of connections will trigger a zettaflood of data, at an even more accelerated pace. While this new Data in Motion has huge potential, it also has a very limited shelf life. As such, its primary value lies in its being captured soon after it is created—in many cases, immediately after it is created.
For instance, real-time traffic information from cameras, sensors and connected cars allows drivers to avoid traffic jams and use suggested alternate routes, potentially reducing hours of unproductive time spent behind the wheel. Similarly, manufacturers can connect their stock inventory with their suppliers’ production systems so that potential delays can be identified as early as possible and corrective actions taken on their respective shop floors to better prioritize people’s activities. In each of these cases, it’s easy to see the added value of connecting not just things, but also people, data and processes.
The real challenge for data-driven organizations is how to manage and extract value from this constant stream of information, and turn it to competitive advantage. Data in Motion represents a new type of data whose value can not always be extracted through traditional analytics. In a next post, we will look at examples of Data in Motion and how to extract value from it.
The increasing diversity and complexity of traffic traversing the Internet of Everything today can be imagined as a three-dimensional collection of intersecting highways of different kinds (e.g., corporate WAN, Internet, mobile, Wi-Fi, cellular, cable, cloud), with a wide array of vehicles (e.g., PCs, tablets, smartphones) carrying various types of passengers (e.g., data, voice, video, email, SMS, Web). Emerging traffic from the new category of machine-to-machine communications is scaling exponentially and introducing new policy triggers.
In this new environment network operators must become master traffic controllers to deal with all of the volume, diversity, and complexity. The most innovative and forward-looking experts are aggressively looking into providing more open programmatic access to their network functions and services. The goal is easier and faster control, in order to make them more agile, flexible and application interactive while at the same time optimally aligning costs with potential new revenues.
Cisco ONE Building Blocks: Controllers and Agents
Software Defined Networking (SDN) plays a key role within Read More »
If you’re like me, you probably remember the days when computers meant oversized monitors, loud, humming power supplies, and more cables than you knew what to do with. Thanks to Moore’s Law, those days are long gone. With devices getting less costly, smaller, and capable of more efficient computing power, people and businesses of today and tomorrow have more opportunity to connect to the Internet of Everything (IoE).
Take the Raspberry Pi, for example. This low-cost computer was developed to provide computer science learning experiences for children around the world. For $35, the device features USB ports for a keyboard and mouse and an HDMI port to hook up to a monitor. The Raspberry Pi Foundation officially launched the device in February 2012. By September, more than half a million had been sold, and thousands were being manufactured each day, making computing accessible to everyone.
But even more interesting, when the Raspberry Pi went on sale, hackers and experimenters ordered them by the handful to create special purpose applications. They dedicated a whole low-cost computer to the task and moved the computing function to the edge of the network, shifting how we solve the computing problem. So again, we now have another Moore’s Law phenomena. As computers get smaller, more energy efficient, and less expensive, it causes us to rethink where we put the computing in the network and whether it is centralized or at the edge. Moore’s Law enables this natural progression, allowing us to recentralize through the web and distribute through the cloud.
The Nest Thermostat demonstrates a great example of this. Through a combination of sensors, algorithms, machine learning, and cloud computing, Nest learns behaviors and preferences and begins to adjust the temperature up or down. It can be controlled from your laptop, smartphone, or tablet, and it starts to recognize your preferences, automatically adjusting faster and faster and becoming more and more efficient. You have an entire computer (thermostat) on the wall, a classic convergence of more and more things being connected.
This, in turn, changes what’s happening in the data center and the cloud, because having more entry points enables us to connect more things. Sensor technology is also being affected, becoming smaller and less expensive. Texas Instruments now makes a chip that runs an IPv6 stack for connectivity, has built-in wireless, and only costs ninety-nine cents. Moore’s Law has led to a low-powered, low-cost chip, giving us yet another opportunity to rethink and innovate the use of computing.
With these growing ubiquitous opportunities, we can connect more and learn more. As more devices are added to the network, the power and potential for what they will make possible will continue to grow exponentially. Anything you can measure will be measured. Anything you can sense will be sensed. It’s an economical model making the case to be measured for nearly no cost. This shift will help connect the 99 percent of things that are still unconnected in the world, creating real value for the IoE.
How will the amazing possibilities enabled by the IoE affect you? I’d love to know your thoughts. Send me a tweet @JimGrubb.
While Day 1 of Partner Summit was all about Cisco’s vision for the future, the partner ecosystem, and partner evolution, today the focus shifted toward technology and services. Day 2’s General Session brought to the stage Padmasree Warrior, Chief Strategy and Technology Officer, Rob Lloyd, President, Development and Sales, and Edzard Overbeek, Senior Vice President, Cisco Services, to talk through Cisco’s innovation and technology, our unique value proposition for customers, and why building a robust services practice around Cisco sales is key to partner profitability.
Partner impressions are some of the most valuable feedback we have here at Cisco. Like yesterday, we took to the halls of the Boston Convention & Exhibition Center to get your perspectives. Here’s what you told us:
Read on for a full recap of Partner Summit Day 2. Read More »