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The Internet of Things (IoT), in all its myriad manifestations, has great potential. Much of that potential comes from the evolving data management and analytic (DMA) technologies and processes that allow us to gain insight from all of the IoT data that can be generated and gathered. This potential may never be met as those data sets are tied to specific industry verticals and single markets, with no clear way to use IoT data and sensor analytics to fulfill the hype being given the IoT today. Jan. 10, 2016 02:15 PM EST Reads: 586
The Internet of Things is in the early stages of mainstream deployment but it promises to unlock value and rapidly transform how organizations manage, operationalize, and monetize their assets. IoT is a complex structure of hardware, sensors, applications, analytics and devices that need to be able to communicate geographically and across all functions. Once the data is collected from numerous endpoints, the challenge then becomes converting it into actionable insight.
NHK, Japan Broadcasting, will feature the upcoming @ThingsExpo Silicon Valley in a special 'Internet of Things' and smart technology documentary that will be filmed on the expo floor between November 3 to 5, 2015, in Santa Clara. NHK is the sole public TV network in Japan equivalent to the BBC in the UK and the largest in Asia with many award-winning science and technology programs. Japanese TV is producing a documentary about IoT and Smart technology and will be covering @ThingsExpo Silicon Val...
With the exponential growth of network traffic slowing down data transmission, companies are looking for solutions. Recently, a solution has emerged that can help improve your data speed with data centers on the edge. These micro data center solutions can simplify the lives of many data center owners and operators because they are self-contained, secure computing environments, assembled in a factory and shipped in one enclosure which includes all the necessary power, cooling, security, and manag...
Contextual Analytics of various threat data provides a deeper understanding of a given threat and enables identification of unknown threat vectors.
In his session at @ThingsExpo, David Dufour, Head of Security Architecture, IoT, Webroot, Inc., discussed how through the use of Big Data analytics and deep data correlation across different threat types, it is possible to gain a better understanding of where, how and to what level of danger a malicious actor poses to an organization, and to determ...
WebRTC: together these advances have created a perfect storm of technologies that are disrupting and transforming classic communications models and ecosystems.
In his session at WebRTC Summit, Cary Bran, VP of Innovation and New Ventures at Plantronics and PLT Labs, provided an overview of this technological shift, including associated business and consumer communications impacts, and opportunities it may enable, complement or entirely transform.
Who are you? How do you introduce yourself? Do you use a name, or do you greet a friend by the last four digits of his social security number? Assuming you don’t, why are we content to associate our identity with 10 random digits assigned by our phone company? Identity is an issue that affects everyone, but as individuals we don’t spend a lot of time thinking about it.
In his session at @ThingsExpo, Ben Klang, Founder & President of Mojo Lingo, discussed the impact of technology on identity. Sh...
There are so many tools and techniques for data analytics that even for a data scientist the choices, possible systems, and even the types of data can be daunting.
In his session at @ThingsExpo, Chris Harrold, Global CTO for Big Data Solutions for EMC Corporation, showed how to perform a simple, but meaningful analysis of social sentiment data using freely available tools that take only minutes to download and install. Participants received the download information, scripts, and complete end-t...
Developing software for the Internet of Things (IoT) comes with its own set of challenges. Security, privacy, and unified standards are a few key issues. In addition, each IoT product is comprised of (at least) three separate application components: the software embedded in the device, the backend service, and the mobile application for the end user’s controls. Each component is developed by a different team, using different technologies and practices, and deployed to a different stack/target – ...
Organizations already struggle with the simple collection of data resulting from the proliferation of IoT, lacking the right infrastructure to manage it. They can't only rely on the cloud to collect and utilize this data because many applications still require dedicated infrastructure for security, redundancy, performance, etc.
In his session at 17th Cloud Expo, Emil Sayegh, CEO of Codero Hosting, discussed how in order to resolve the inherent issues, companies need to combine dedicated and cl...
Learn how IoT, cloud, social networks and last but not least, humans, can be integrated into a seamless integration of cooperative organisms both cybernetic and biological. This has been enabled by recent advances in IoT device capabilities, messaging frameworks, presence and collaboration services, where devices can share information and make independent and human assisted decisions based upon social status from other entities.
In his session at @ThingsExpo, Michael Heydt, founder of Seamless...
Manufacturing connected IoT versions of traditional products requires more than multiple deep technology skills. It also requires a shift in mindset, to realize that connected, sensor-enabled “things” act more like services than what we usually think of as products.
In his session at @ThingsExpo, David Friedman, CEO and co-founder of Ayla Networks, discussed how when sensors start generating detailed real-world data about products and how they’re being used, smart manufacturers can use the dat...
The Internet of Things has the potential to disrupt all industries, not just consumer, as businesses leverage the new insights and capabilities enabled by new devices / things, automation, integration and analytics, etc., to transform how they do business.
One industry ripe for disruption is higher education. Colleges and universities are being challenged with serving more students and at the same time ensuring successful student outcomes.
In his session at @ThingsExpo, Chris Witeck, Principa...
"Storage is growing. All of IDC's estimates say that unstructured data is now 80% of the world's data. We provide storage systems that can actually deal with that scale of data - software-defined storage systems," stated Paul Turner, Chief Product and Marketing Officer at Cloudian, in this SYS-CON.tv interview at 17th Cloud Expo, held November 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA.
"The problem with IoT today is that people aren't looking to buy IoT, what they're really trying to do is buy a business outcome or trying to figure out ways to improve the business outcome. It just so happens that IoT may be the technology that can help do that," stated Dave McCarthy, Director of Products at Bsquare Corporation, in this SYS-CON.tv interview at @ThingsExpo, held November 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA.
"What is the next step in the evolution of IoT systems? The answer is data, information, which is a radical shift from assets, from things to input for decision making," stated Michael Minkevich, VP of Technology Services at Luxoft, in this SYS-CON.tv interview at @ThingsExpo, held November 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA.
Electric power utilities face relentless pressure on their financial performance, and reducing distribution grid losses is one of the last untapped opportunities to meet their business goals. Combining IoT-enabled sensors and cloud-based data analytics, utilities now are able to find, quantify and reduce losses faster – and with a smaller IT footprint. Solutions exist using Internet-enabled sensors deployed temporarily at strategic locations within the distribution grid to measure actual line lo...
Consumer IoT applications provide data about the user that just doesn’t exist in traditional PC or mobile web applications. This rich data, or “context,” enables the highly personalized consumer experiences that characterize many consumer IoT apps. This same data is also providing brands with unprecedented insight into how their connected products are being used, while, at the same time, powering highly targeted engagement and marketing opportunities.
In his session at @ThingsExpo, Nathan Trel...
Contrary to mainstream media attention, the multiple possibilities of how consumer IoT will transform our everyday lives aren’t the only angle of this headline-gaining trend. There’s a huge opportunity for “industrial IoT” and “Smart Cities” to impact the world in the same capacity – especially during critical situations. For example, a community water dam that needs to release water can leverage embedded critical communications logic to alert the appropriate individuals, on the right device, as...
"As a technology provider we believe that business comes first and customers should start thinking that technology is something that helps them to enable new business models," stated Ermanno Bonifazi, Founder and CEO of Solgenia, in this SYS-CON.tv interview at 17th Cloud Expo, held November 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA.
"Internet-of-Things" (IoT) is touted as the next big thing slated to revolutionize how we communicate online or how we work. The majority of the chatter rising from industries nowadays is focused on how to deploy machine-to-machine (M2M) communication and optimally capitalize on the technology. Simply put, IoT is built on the paradigm of cloud computing and data gathering sensors networks. Hence, it provides instantaneous and mobile virtual connection. Proponents of the technology believe that within a few years IoT will make even the smallest speckle of technology in our lives, "smart'. Be it...
Every physical object or “thing” that can be embedded with sensors will be embedded with sensors. Whether you call it the Internet of Things, the Internet of Everything, M2M, a smarter planet, the Industrial Internet or something else, the trend is clear. With so much activity and interest, it is unfortunate that a de facto communications standard has not emerged. However, there is progress (or managed conflict) in the right direction.
“If data analysis is Big Data’s "tip of the spear" when it comes to delivering data-dependent value to customers or clients, we also must address how that spear is shaped, sharpened, aimed, and thrown – and, of course, whether or not it hits its intended target.”
In Meeting the Mission of Transportation Safety, Richard McKinney, U.S. Department of Transportation's CIO, describes four components for what I call an “enterprise data strategy.”
In 2015, technology reached the tipping point for me, it moved from the efficient column, to the inefficient column, from a pro to a con, from a help to a hindrance. You can hear it in every complaint about how email messages are overwhelming our day, interfering with priorities, impacting our schedules, hurting our productivity and forcing more of us to take our work home at night and over the weekend.
We know you, dear readers, have been tracking the megatrend of artificial intelligence. There are many issues in this trend that should inform your day-to-day decision-making (we examine AI issues as part of our CAMBRIC construct to help put the trend in the context of other major thrusts in the tech world).
Most AI solutions today are fielded by the big players in IT. For example, Apple's Siri or the capabilities they embedded directly in IOS9, or Google's many savvy search solutions or Amazon's very smart recommendations. Amazon's Echo is also, like Siri, connecting to a very smart cloud ...
Were you surprised with that new car in your driveway sporting a huge bow this holiday season? Yea, me neither. But we did get a new gaming console that doesn't require you to hold a controller in your hand. You know The One. It has a camera that picks up your body movements and turns that into action on your screen. It'll even scan your face and create a digitized, animated You right in front of your eyes. You can then choose your You to play games. Now I realize some of you have had these for several years but we've been stuck in 2010 at our house...at least with gaming consoles.
Beacon technology offers a new way for companies to deliver value to their customers by enabling micro-location based interaction at every physical touch point. This knowledge opens up a new playground for creating personalized services and inventing new experiences between a company and its customers, but how exactly can organizations monetize this? For the past two years we have heard about mobile notifications and messaging, but this has not taken off and could be considered spamming. 
Our shopping experiences continue to change. Today, we use smartphones, tablets and laptops to shop, purchase and track shipments online, from anywhere at any time. We bring mobile devices into retail stores to compare prices and learn more about products on the shelf. We search for available inventories, the nearest store locations, and for new, used, shared and auctioned products and services. These digital transformations are profoundly altering the nature of retailing, and their velocity will only accelerate.
The application performance monitoring industry underwent a lot of big changes in 2015.
And 2016 won't be any different. From changing consumer behavior to new tools and developments in the application performance space - there's a lot to keep an eye on in the New Year.
Here are five ways application performance monitoring will change in 2016:
Changing consumers and the device mesh
The Internet of Things or IoT is more than the newest fitness monitor or cool device. It is the process of transparently deploying countless sensors and devices, which produce data that is transformed into valued information.
This happens each time a consumer buys a smart device such as a fitness monitor. The consumer knowingly enables the device to monitor an event, such as a run. In turn, the device creates data, e.g., step count, which is transported across the internet to a cloud application. Analytics are then performed on aggregated data, e.g. friends’ data, to create information, e.g. ...
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