The IoT's basic concept of collecting data from as many sources possible to drive better decision making, create process innovation and realize additional revenue has been in use at large enterprises with deep pockets for decades. So what has changed?
In his session at @ThingsExpo, Prasanna Sivaramakrishnan, Solutions Architect at Red Hat, will discuss the impact commodity hardware, ubiquitous connectivity, and innovations in open source software are having on the connected universe of people, things and information in the IoT.Oct. 24, 2015 12:45 PM EDT Reads: 195
SYS-CON Events announced today that Super Micro Computer, Inc., a global leader in high-performance, high-efficiency server, storage technology and green computing, will exhibit at the 17th International Cloud Expo®, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA.
Supermicro (NASDAQ: SMCI), the leading innovator in high-performance, high-efficiency server technology is a premier provider of advanced server Building Block Solutions® for Data Center, Cloud Computing, Enterprise IT, Hadoop/Big Data, HPC and Embedded Systems worldwide. Supermi...
Internet of @ThingsExpo, taking place Nov 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA, and June 7-9, 2016 at Javits Center, New York City, is co-located with Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world and ThingsExpo New York Call for Papers is now open.
The broad selection of hardware, the rapid evolution of operating systems and the time-to-market for mobile apps has been so rapid that new challenges for developers and engineers arise every day. Security, testing, hosting, and other metrics have to be considered through the process.
In his session at Big Data Expo, Walter Maguire, Chief Field Technologist, HP Big Data Group, at Hewlett-Packard, will discuss the challenges faced by developers and a composite Big Data applications builder, focusing on how to help solve the problems that developers are continuously battling.
Discussions of cloud computing have evolved in recent years from a focus on specific types of cloud, to a world of hybrid cloud, and to a world dominated by the APIs that make today's multi-cloud environments and hybrid clouds possible.
In this Power Panel at 17th Cloud Expo, moderated by Conference Chair Roger Strukhoff, panelists will address the importance of customers being able to use the specific technologies they need, through environments and ecosystems that expose their APIs to make true change and transformation possible.
SYS-CON Events announced today that Colovore, the Bay Area’s leading provider of scalable, high-density colocation solutions, will exhibit at the 17th International Cloud Expo®, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA.
With power densities of 20 kW per rack and a pay-by-the-kW pricing model, Colovore is Silicon Valley’s premier provider of flexible, high-density colocation solutions. Our 9 MW facility has the power and cooling your servers need, and our team has decades of experience managing web infrastructure. We are optimized to ...
Most of the IoT Gateway scenarios involve collecting data from machines/processing and pushing data upstream to cloud for further analytics. The gateway hardware varies from Raspberry Pi to Industrial PCs. The document states the process of allowing deploying polyglot data pipelining software with the clear notion of supporting immutability.
In his session at @ThingsExpo, Shashank Jain, a development architect for SAP Labs, will discuss the objective, which is to automate the IoT deployment process from development to production scenarios using Docker containers.
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. 
The Internet of Things is clearly many things: data collection and analytics, wearables, Smart Grids and Smart Cities, the Industrial Internet, and more. Cool platforms like Arduino, Raspberry Pi, Intel's Galileo and Edison, and a diverse world of sensors are making the IoT a great toy box for developers in all these areas.
In this Power Panel at @ThingsExpo, moderated by Conference Chair Roger Strukhoff, panelists will discuss what things are the most important, which will have the most profound effect on the world, and what should we expect to see over the next couple of years.
Too often with compelling new technologies market participants become overly enamored with that attractiveness of the technology and neglect underlying business drivers. This tendency, what some call the “newest shiny object syndrome” is understandable given that virtually all of us are heavily engaged in technology. But it is also mistaken. Without concrete business cases driving its deployment, IoT, like many other technologies before it, will fade into obscurity.
For manufacturers, the Internet of Things (IoT) represents a jumping-off point for innovation, jobs, and revenue creation. But to adequately seize the opportunity, manufacturers must design devices that are interconnected, can continually sense their environment and process huge amounts of data.
As a first step, manufacturers must embrace a new product development ecosystem in order to support these products. 
Today air travel is a minefield of delays, hassles and customer disappointment. Airlines struggle to revitalize the experience. GE and M2Mi will demonstrate practical examples of how IoT solutions are helping airlines bring back personalization, reduce trip time and improve reliability.
In their session at @ThingsExpo, Shyam Varan Nath, Principal Architect with GE, and Dr. Sarah Cooper, M2Mi’s VP Business Development and Engineering, will explore the IoT cloud-based platform technologies driving this change including privacy controls, data transparency and integration of real time context wi...
Container technology is shaping the future of DevOps and it’s also changing the way organizations think about application development. With the rise of mobile applications in the enterprise, businesses are abandoning year-long development cycles and embracing technologies that enable rapid development and continuous deployment of apps.
In his session at DevOps Summit, Kurt Collins, Developer Evangelist at Built.io, examines how Docker has evolved into a highly effective tool for application delivery by allowing increasingly popular Mobile Backend-as-a-Service (mBaaS) platforms to quickly crea...
In his session at @ThingsExpo, Ben Bromhead, CTO of Instaclustr, will walk you through the basics of building an IoT-based platform leveraging Cassandra, Spark and Kafka. This session is aimed at developers, admins and DevOps engineers who have to build, run and maintain high performance IoT platforms as well as data scientists/engineers who are sick of ETL and want to work with the most up to date information.
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, will discuss how in order to resolve the inherent issues, companies need to combine dedicated and cloud solutions through hybrid hosting – a sustainable solution for the data required to manage I...
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. 
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.
WebRTC has had a real tough three or four years, and so have those working with it. Only a few short years ago, the development world were excited about WebRTC and proclaiming how awesome it was.
You might have played with the technology a couple of years ago, only to find the extra infrastructure requirements were painful to implement and poorly documented. This probably left a bitter taste in your mouth, especially when things went wrong.
In their session at @ThingsExpo, Shyam Varan Nath, Principal Architect at GE, and Ibrahim Gokcen, who leads GE's advanced IoT analytics, focused on the Internet of Things / Industrial Internet and how to make it operational for business end-users. Learn about the challenges posed by machine and sensor data and how to marry it with enterprise data. They also discussed the tips and tricks to provide the Industrial Internet as an end-user consumable service using Big Data Analytics and Industrial Cloud.
From Fitbits, to connected cars, to sensors that water crops, making decisions is no longer enough, now you need to make decisions in context. To bring your next great IoT decision to life you need to be able to extend and connect beyond your traditional enterprise. But with thousands if not millions of different devices all with their own technologies, standards and security how do you connect with the right ones effectively. And technology is only one aspect of the challenge; how do you create the right business model to drive value from your solution? An IoT solution that doesn’t connect to...
Apache Spark continues to gain a lot of traction as companies launch or expand their big data initiatives. There is no doubt that it’s finding a place in corporate IT strategies.
The open-source cluster computing framework was developed in the AMPLab at the University of California at Berkeley in 2009 and became an incubated project of the Apache Software Foundation in 2013. By early 2014, Spark had become one of the foundation’s top-level projects, and today it is one of the most active projects managed by Apache.
The goal for many organizations now is to make analytics a natural part of most—if not every—employee’s daily workflow. Achieving that objective typically requires a shift in the corporate culture, and ready access to user-friendly data analytics tools.
We live in a microwave culture. I use this phrase often when discussing business needs with clients, especially in the context of leveraging technology to address those needs. Sometimes I will get a puzzled look, other times I will get some head nods in agreement and understanding. When I use this phrase, I’m talking about how the microwave has affected our culture from an end-user expectation perspective. There is an expectation of getting what I want when I want it, and an immediacy built into that expectation. The microwave turned hours into minutes, and minutes into seconds. There tends to...
Over the past few years, there has been an explosion in the volume of data. To tackle this big data explosion, there has been a rise in the number of successful Hadoop projects in enterprises. Due to the large volumes of data, the emergence of Hadoop technology, and the need to store all soloed data in one place, has prompted a phenomenon among enterprises called: Data Lake.
Riak TS is focused to handle time series application needs. It can do fast read/write to IOT devices, there in is its strength. It also targets financial and economics data as well as in scientific research applications.
This is straight from Riak TS:
"Riak TS automatically co-locates, replicates, and distributes data across the cluster to achieve fast performance and high availability. The unique master-less architecture enables near-linear scale using commodity hardware so you can easily add capacity as your time series data grows."
The potential of big data is only limited by the creative thinking of your business stakeholders, and that may be the most important concept in the “thinking like a data scientist” process. The “thinking like a data scientist” process guides the business stakeholders into envisioning how big data can optimize their key business processes, create a more compelling customer engagement and uncover new monetization opportunities. But neither the business stakeholders, nor the data scientists, can likely do that envisioning entirely by themselves.
Many of the early examples tend to highlight smart cities or home automation. For most enterprises, however, the ability to connect and integrate everything together can solve current problems and open up new opportunities.
Most enterprises have complex combinations of legacy systems, SaaS services, thousands of devices, multiple locations and unending new requirements from business leaders looking to expand revenues or cut costs. Having the ability to integrate and connect all these systems, services, people and things into automated workflows can make a lot of sense.
This week, the team assembled in NYC for @Cloud Expo 2015 and @ThingsExpo 2015. For the past four years, this has been a must-attend event for MetraTech. We were happy to once again join industry visionaries, colleagues, customers and even competitors to share and explore the ways in which the Internet of Things (IoT) will impact our industry. Over the course of the show, we discussed the types of challenges we will collectively need to solve to capitalize on the opportunity IoT presents.
The concept behind the Internet of Things has been around for a while now, ATMs being some of the first enterprise, hardened, network-connected, managed devices for mainstream consumer use. So too with our mobile phones, these are not new concepts to network technicians or hardware geeks. But for the rest of us, we simply never imagined the extents that the "ubiquity of connectedness" would take all other industries, from biotech to automotive, personal care to agriculture, entertainment to custom manufacturing. The list is as long as our imaginations.
Had Mark Twain lived today, we might hear him utter the oath lies, damn lies, and analytics. Statistics to be sure may still be used to distort the truth – but now with the sudden explosion of big data, analytics threaten the same fate.
I’m not talking about intentional distortion here – that’s another story entirely. Rather, the risk of unintentional distortion via data analytics is becoming increasingly prevalent, as the sheer quantity of data increases, as well as the availability and usability of the analytics tools on the market.
The data scientists themselves aren’t the problem. In fac...
The United States spends around 17-18% of its GDP on healthcare every year. Translated into dollars, it is a mind-boggling $2.9 trillion. Unfortunately, that spending will grow at a faster rate now due to baby boomers becoming an aging population, and they are the largest demographic in the U.S. Unless the U.S. gets this spiraling healthcare spending under control, in a few short years we will be spending almost 25% of our entire GDP in healthcare trying to fix people’s failing health, instead of spending it somewhere else where it is desperately needed. Obviously, we can’t stop the aging popu...
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., will discuss 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 determine the measures to implement to prevent future occurrences. 
Dasher Technologies is helping to usher in the democratization of big data value to more players in less time with analytics in a cloud services model
Today’s modern day industrial revolution is being shaped by ubiquitous connectivity, machine to machine (M2M) communications, the Internet of Things (IoT), open APIs leading to a surge in new applications and services, partnerships and eventual marketplaces. IoT has the potential to transform industry and society much like advances in steam technology, transportation, mass production and communications ushered in the industrial revolution in the 18th and 19th centuries.
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