The true value of the Internet of Things (IoT) lies not just in the data, but through the services that protect the data, perform the analysis and present findings in a usable way. With many IoT elements rooted in traditional IT components, Big Data and IoT isn’t just a play for enterprise. In fact, the IoT presents SMBs with the prospect of launching entirely new activities and exploring innovative areas. CompTIA research identifies several areas where IoT is expected to have the greatest impact. Jan. 4, 2015 03:00 AM EST Reads: 1,002
We’re no longer looking to the future for the IoT wave. It’s no longer a distant dream but a reality that has arrived. It’s now time to make sure the industry is in alignment to meet the IoT growing pains – cooperate and collaborate as well as innovate.
In his session at @ThingsExpo, Jim Hunter, Chief Scientist & Technology Evangelist at Greenwave Systems, will examine the key ingredients to IoT success and identify solutions to challenges the industry is facing. The deep industry expertise behind this presentation will provide attendees with a leading edge view of rapidly emerging IoT oppor...
Cloud Expo 2014 TV commercials will feature @ThingsExpo, which was launched in June, 2014 at New York City's Javits Center as the largest 'Internet of Things' event in the world.
The explosion of connected devices / sensors is creating an ever-expanding set of new and valuable data. In parallel the emerging capability of Big Data technologies to store, access, analyze, and react to this data is producing changes in business models under the umbrella of the Internet of Things (IoT). In particular within the Insurance industry, IoT appears positioned to enable deep changes by altering relationships between insurers, distributors, and the insured.
In his session at @ThingsExpo, Michael Sick, a Senior Manager and Big Data Architect within Ernst and Young's Financial Servi...
The industrial software market has treated data with the mentality of “collect everything now, worry about how to use it later.” We now find ourselves buried in data, with the pervasive connectivity of the (Industrial) Internet of Things only piling on more numbers. There’s too much data and not enough information.
In his session at @ThingsExpo, Bob Gates, Global Marketing Director, GE’s Intelligent Platforms business, to discuss how realizing the power of IoT, software developers are now focused on understanding how industrial data can create intelligence for industrial operations. Imagine ...
Enthusiasm for the Internet of Things has reached an all-time high. In 2013 alone, venture capitalists spent more than $1 billion dollars investing in the IoT space. With "smart" appliances and devices, IoT covers wearable smart devices, cloud services to hardware companies. Nest, a Google company, detects temperatures inside homes and automatically adjusts it by tracking its user's habit. These technologies are quickly developing and with it come challenges such as bridging infrastructure gaps, abiding by privacy concerns and making the concept a reality. These challenges can't be addressed w...
In the consumer IoT, everything is new, and the IT world of bits and bytes holds sway. But industrial and commercial realms encompass operational technology (OT) that has been around for 25 or 50 years. This grittier, pre-IP, more hands-on world has much to gain from Industrial IoT (IIoT) applications and principles. But adding sensors and wireless connectivity won’t work in environments that demand unwavering reliability and performance.
In his session at @ThingsExpo, Ron Sege, CEO of Echelon, will discuss how as enterprise IT embraces other IoT-related technology trends, enterprises with i...
For years, we’ve relied too heavily on individual network functions or simplistic cloud controllers. However, they are no longer enough for today’s modern cloud data center. Businesses need a comprehensive platform architecture in order to deliver a complete networking suite for IoT environment based on OpenStack.
In his session at @ThingsExpo, Dhiraj Sehgal from PLUMgrid will discuss what a holistic networking solution should really entail, and how to build a complete platform that is scalable, secure, agile and automated.
Cultural, regulatory, environmental, political and economic (CREPE) conditions over the past decade are creating cross-industry solution spaces that require processes and technologies from both the Internet of Things (IoT), and Data Management and Analytics (DMA). These solution spaces are evolving into Sensor Analytics Ecosystems (SAE) that represent significant new opportunities for organizations of all types. Public Utilities throughout the world, providing electricity, natural gas and water, are pursuing SmartGrid initiatives that represent one of the more mature examples of SAE. We have s...
Sensor-enabled things are becoming more commonplace, precursors to a larger and more complex framework that most consider the ultimate promise of the IoT: things connecting, interacting, sharing, storing, and over time perhaps learning and predicting based on habits, behaviors, location, preferences, purchases and more.
In his session at @ThingsExpo, Tom Wesselman, Director of Communications Ecosystem Architecture at Plantronics, will examine the still nascent IoT as it is coalescing, including what it is today, what it might ultimately be, the role of wearable tech, and technology gaps stil...
There is no doubt that Big Data is here and getting bigger every day. Building a Big Data infrastructure today is no easy task. There are an enormous number of choices for database engines and technologies. To make things even more challenging, requirements are getting more sophisticated, and the standard paradigm of supporting historical analytics queries is often just one facet of what is needed. As Big Data growth continues, organizations are demanding real-time access to data, allowing immediate and actionable interpretation of events as they happen. Another aspect concerns how to deliver ...
The Domain Name Service (DNS) is one of the most important components in networking infrastructure, enabling users and services to access applications by translating URLs (names) into IP addresses (numbers). Because every icon and URL and all embedded content on a website requires a DNS lookup loading complex sites necessitates hundreds of DNS queries. In addition, as more internet-enabled ‘Things' get connected, people will rely on DNS to name and find their fridges, toasters and toilets.
According to a recent IDG Research Services Survey this rate of traffic will only grow. What's driving t...
One of the biggest impacts of the Internet of Things is and will continue to be on data; specifically data volume, management and usage. Companies are scrambling to adapt to this new and unpredictable data reality with legacy infrastructure that cannot handle the speed and volume of data.
In his session at @ThingsExpo, Don DeLoach, CEO and president of Infobright, will discuss how companies need to rethink their data infrastructure to participate in the IoT, including:
Data storage: Understanding the kinds of data: structured, unstructured, big/small?
Analytics: What kinds and how responsiv...
Wearable devices have come of age. The primary applications of wearables so far have been "the Quantified Self" or the tracking of one's fitness and health status. We propose the evolution of wearables into social and emotional communication devices. Our BE(tm) sensor uses light to visualize the skin conductance response. Our sensors are very inexpensive and can be massively distributed to audiences or groups of any size, in order to gauge reactions to performances, video, or any kind of presentation.
In her session at @ThingsExpo, Jocelyn Scheirer, CEO & Founder of Bionolux, will discuss ho...
Since 2008 and for the first time in history, more than half of humans live in urban areas, urging cities to become “smart.” Today, cities can leverage the wide availability of smartphones combined with new technologies such as Beacons or NFC to connect their urban furniture and environment to create citizen-first services that improve transportation, way-finding and information delivery.
In her session at @ThingsExpo, Laetitia Gazel-Anthoine, CEO of Connecthings, will focus on successful use cases.
An entirely new security model is needed for the Internet of Things, or is it? Can we save some old and tested controls for this new and different environment? In his session at @ThingsExpo, New York's at the Javits Center, Davi Ottenheimer, EMC Senior Director of Trust, reviewed hands-on lessons with IoT devices and reveal a new risk balance you might not expect. Davi Ottenheimer, EMC Senior Director of Trust, has more than nineteen years' experience managing global security operations and assessments, including a decade of leading incident response and digital forensics. He is co-author of t...
How do APIs and IoT relate? The answer is not as simple as merely adding an API on top of a dumb device, but rather about understanding the architectural patterns for implementing an IoT fabric. There are typically two or three trends:
Exposing the device to a management framework
Exposing that management framework to a business centric logic
Exposing that business layer and data to end users.
This last trend is the IoT stack, which involves a new shift in the separation of what stuff happens, where data lives and where the interface lies. For instance, it's a mix of architectural styles ...
The Internet of Things promises to transform businesses (and lives), but navigating the business and technical path to success can be difficult to understand.
In his session at @ThingsExpo, Sean Lorenz, Technical Product Manager for Xively at LogMeIn, demonstrated how to approach creating broadly successful connected customer solutions using real world business transformation studies including New England BioLabs and more.
The definition of IoT is not new, in fact it’s been around for over a decade. What has changed is the public's awareness that the technology we use on a daily basis has caught up on the vision of an always on, always connected world. If you look into the details of what comprises the IoT, you’ll see that it includes everything from cloud computing, Big Data analytics, “Things,” Web communication, applications, network, storage, etc. It is essentially including everything connected online from hardware to software, or as we like to say, it’s an Internet of many different things. The difference ...
"There is a natural synchronization between the business models, the IoT is there to support ,” explained Brendan O'Brien, Co-founder and Chief Architect of Aria Systems, in this SYS-CON.tv interview at the 15th International Cloud Expo®, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
The potential adoption of Internet of Things in industries like manufacturing, healthcare will definitely bring much needed automation and agility into the operations, but if they are not properly planned out these initiatives may lead into an explosion of data whose magnitude will simply derail the whole initiative or result in a huge cost of operations that will out smart the benefits they bring in.
As I mentioned in my last article, the concept of Fog Computing (which is term coined by CISCO) is more of an EDGE computing where by much of data analytics and decision making are happeni...
Big Data is a loose term for the collection, storage, processing, and sophisticated analysis of massive amounts of data, far larger and from many more kinds of sources than ever before. The definition of Big Data can be traced back to the 3Vs model defined by Doug Laney in 2001: Volume, Velocity, and Variety. The fourth V was later added in different fashions, such as “Value” or “Veracity”.
Interestingly the conceptualization of Big Data in the beginning of this century seems to gain wider use now after nearly 14 years. This sounds a little strange as the present dynamic world has evolved s...
As the holiday rush is winding down, I sit here reflecting on all the companies that lost business/revenue during the busiest time of the year. Loss of business not because of technology failure, although this is always a manifestation of a problem, but because of process failure in order to remedy the failures of technology. I’ve offered some tips on preparing for the holiday traffic from the system architecture perspective, but perhaps I should have concentrated on preparing for the rush from the organizational perspective.
Another year comes to a close. What did we see as significant technology events? In the disruption category, we saw Uber getting valued at $41B even with all its issues in the news. When you disrupt an entrenched business such as taxi service, it is only natural that resistance will happen. But consumers like me love the value-added service from Uber. This is unstoppable as evident from the investor’s confidence in providing $1.2B funding. In the disruption category, companies like Snapchat, Instagram, Airbnb, Instacart, and others made good progress. Re-imagination is the catchword here. See...
DevOps Summit at Cloud Expo 2014 Silicon Valley was a terrific event for us. The Qubell booth was crowded on all three days. We ran demos every 30 minutes with folks lining up to get a seat and usually standing around. It was great to meet and talk to over 500 people! My keynote was well received and so was Stan's joint presentation with RingCentral on Devops for BigData. I also participated in two Power Panels – ‘Women in Technology’ and ‘Why DevOps Is Even More Important than You Think,’ both featuring brilliant colleagues and moderators and it was a blast to be a part of.
Fraud is definitely top of mind for all banks. Steve Rosenbush at the Wall Street Journal recently wrote about Visa’s new Big Data analytic engine which has changed the way the company combats fraud. Visa estimates that its new Big Data fraud platform has identified $2 billion in potential annual incremental fraud savings. With Big Data, their new analytic engine can study as many as 500 aspects of a transaction at once. That’s a sharp improvement from the company’s previous analytic engine, which could study only 40 aspects at once. And instead of using just one analytic model, Visa now opera...
Cloud has become an extension of today’s enterprise and the traditional perimeter has long disappeared. Increasing business requirements for agility and flexibility make the cloud-extended enterprise ideal for a workforce that works anywhere, anytime and any place. This is especially true as organizations are increasingly made up of third-party resources, partners and suppliers compared to just employees.
However, traditional security models are not equipped to deal with the fluid nature of data and network flows that extend from the enterprise into a mix of multiple clouds. This not only cr...
In the last year, conversations about In-Memory Computing (IMC) have become more and more prevalent in enterprise IT circles, especially with organizations feeling the pressure to process massive quantities of data at the speed that is now being demanded by the Internet. The hype around IMC is justified: tasks that once took hours to execute are streamlined down to seconds by moving the computation and data from disk, directly to RAM. Through this simple adjustment, analytics are happening in real-time, and applications (as well as the development of applications) are working at-pace with this...
Gordon E. Moore's famously predicted tech explosion was prophetic, but it may have hit a snag. While the number of transistors on integrated circuits has doubled approximately every two years since his 1965 paper, the ability to process and transact on data hasn't. We're now ingesting data faster than we can make sense of it, leaving computing at an impasse. Without a new approach, the innovation promised by the combination of big data and internet scale may be like the flying cars we thought we'd see by 2014. Fortunately, this is is not the case, as in-memory computing offers a way to bridge...
"The year ahead brings accelerated disruption, as those technologies which we spoke about last year as being emergent -- have now begun to evolve to practical application," stated Puneet Gupta, Brillio's Chief Technology Officer. "We are seeing the industry's rapid adoption of next-generation platforms and services centered on cloud, mobility, big data and the Internet of Things. As our customers continue to leverage technology for digital transformation, Brillio looks towards 2015 as the year we push the limits of where technology can go -- as a way to bridge the gap between existing and new ...
I try to keep on top of the news, particularly as it relates to the nature and severity of cyber attacks taking place. Sadly, there’s been no shortage of reading material lately.
Last month, there were reports on breaches at Kmart and Dairy Queen (my family loves Blizzards). Updates then came out about a massive breach at Home Depot. Then more recently, there’s been the spate of nation-state attacks on the USPS, National Oceanic and Atmospheric Administration (NOAA), Sony Entertainment and the White House. Between the time I finish writing this post and the time you read this, who knows what ...
The Internet of Things or IoT is the next big trend promising to connect literally every device on the planet to the internet. IoT will fuel a data explosion that will provide the data needed to improve services, offerings and life in general by analysis and use of the information generated. Much of this data will be sensitive, personal and protected information – driving a critical requirement to safeguard this information wherever it resides – on devices, in transit, in storage and when analyzed.
What do you get when you combine Big Data technologies….like Pig and Hive? A flying pig?
No, you get a “Logical Data Warehouse”.
My general prediction is that Cloudera and Hortonworks are both aggressively moving to fulfilling a vision which looks a lot like Gartner’s “Logical Data Warehouse”….namely, “the next-generation data warehouse that improves agility, enables innovation and responds more efficiently to changing business requirements.”
Now is the age of information analytics. We have (very arguably) reached a point where the insight arising from data analytics can be applied to almost every aspect of a company, in every business vertical.
But what shape should that analytics be? Increasingly we talk about embedded analytics, but what do we mean? Should we be embedding analytics inside a) applications themselves, or should we b) look to embed analytics as business rules inside complete corporate processes – or should it be both?
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