iot

Weekly Digest on Internet of Things

ManagementTeamMouli1

Kavitha Gopalan

Are IoT Investments Finally Paying Off?
According to the fourth annual “2016 Vodafone IoT Barometer report,” companies are seeing their IoT activities fuel revenue growth, and, as a result, they are increasing their IoT spend. “We’ve moved from simply adopting internet of things technologies to realizing the true business value that IoT can bring to organizations,” said Andrew Morawski, Vodafone’s head of IoT for the Americas. “Whether it’s connected supply chains for manufacturers, smart office capabilities for employees, or a connected home for consumers, businesses are seeing significant results from their IoT deployments, changing the way they do business and even facilitating new partnerships to serve customers in new ways.”
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Fog Computing the Path Ahead for IOT
If the reliance on cloud computing, as the foundation for IOT is continued, then this massive volume of data could throw new challenges like latency, bandwidth consumption, security and so on… The whole purpose of IOT could be defeated if there are latencies in delivering data. A connected smoke alarm sending a few seconds delayed message of smoke detection is of no use, the computing and decisions should be real time. This becomes more critical to Industrial scenario where several sensors attached to devices need to send data to cloud for processing and storage. Real time feedback and action is important if an impeding failure needs to be detected. Any latency or bandwidth issue could lead to huge impact.
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What is the Industrial Internet, and What Does it Mean for You?
The industrial Internet is so powerful that an estimated 50 billion devices will be connected by 2020 and have a huge impact on the global economy and international GDP. One example of the industrial Internet in action comes from GE’s connection to nearly $12 billion of large assets around the world. Using a central data center, GE representatives can monitor the machines, input their actions, and then use that information to make the process more efficient. Using collected data, the industrial Internet can run a series of analytics to predict future failures in the equipment and alert companies to issues before they arise.
Find out more on this postfrom Inc

Why On Earth Is Google Building A New Operating System From Scratch?
Last week, a group of Googlers did something strange: They quietly revealed a new operating system that theoretically competes with Google’s own Android OS.
Dubbed Fuchsia, the open-source OS-in-progress could run on everything from lightweight, single-purpose devices (think ATMs and GPS units) all the way up to desktop computers. But unlike Android, Fuchsia isn’t based on Linux, nor is it derived from any of the other software that underpins nearly all personal computing and communications today. Instead, it’s an attempt to start from scratch.
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10 Steps To Implementing A Successful Enterprise IoT Strategy
Designing a successful IoT strategy could be very challenging for an enterprise. Unlike other software initiatives, which IT owns and controls, IoT deployments span multiple business units and operational teams.Some of the factors that negatively impact IoT projects include lack of collaboration among IT teams and OT teams, confusing choice of technologies, lack of interoperability with existing business applications, and more importantly, lack of alignment with the overall business goals.
Find out more on this post from Forbes

How To Manage Risk In An Interconnected World
When everyone — and everything — becomes interconnected, how will that change risk? Will new risks emerge and old ones disappear? And what do both insurers and insurance customers need to do about it?Many companies are woefully unprepared for the digital future as we enter the cognitive computing era of business. Not only do they struggle with risk management, but their employees’ digital skills are inadequate. Within the next decade, only 44 percent of our respondents believe their workforce will have the adequate skills to cope with digital interconnectedness and associated risks, up from just 27 percent today.
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Intel Joule is a high performance Atom-powered IoT module targeted at hardware developers
Intel’s Developer Forum (IDF) is underway at San Francisco, and Intel has some good news for hardware developers working in the IoT space. It has unveiled Joule, which is a high performance Atom powered IoT kit. Intel Joule is the successor to the Intel’s Galileo, Edison and Curie line of IoT kits which were based on the Intel Quark SoC

Intel is hoping the Joule module to be used in applications as varied as drones, robotics and with support from Intel’s RealSense technology to be used in VR and AR applications as well.
Find out more on this post from Firstpost

Beyond the Jargon: The Future of IoT and Retail
In a 2015 survey conducted by Boston-based Retail Systems Research, retailers were asked which challenges would persuade them to consider IoT solutions for their stores.Given cost-, margin- and growth-based challenges, retailers chose growth. They gave top value to IoT data analytics to help them manage growth-related challenges. Differentiating their brands and monitoring consumer price sensitivity were their top-rated uses for IoT.Modern technology gives us several ways to slice, dice and analyse retail data. The differences lie in data volume, speed of analysis and where the data comes from.
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Fog_os

Fog Computing the Path Ahead for IOT

ManagementTeamMouli1

Kavitha Gopalan

The growth of IOT is explosive and formidable. Connected devices are becoming part of everyday life, from connected devices at home like the refrigerator, coffee maker, thermostat, bulbs, to connected vehicles, street lights, parking system, garbage can on roads to connected tools & machines in the factory to Connected equipment in a hospital.

In typical IOT architecture, the sensor data from connected “things” are streamed to the cloud, this data is stored in the cloud and then analytics and machine learning applied. According to industry research firms like Gartner and IDC, the IOT adoption is expected to grow significantly from around 5 billion devices in 2016 to 50 billion devices by 2020. Imagine all these devices streaming data to the cloud. How much volume of data would that be? According to Cisco, the data generated from connected device is expected to scale to 507.5 zettabytes (1 zettabyte = 1 trillion gigabytes) data by 2019.

If the reliance on cloud computing, as the foundation for IOT is continued, then this massive volume of data could throw new challenges like latency, bandwidth consumption, security and so on… The whole purpose of IOT could be defeated if there are latencies in delivering data. A connected smoke alarm sending a few seconds delayed message of smoke detection is of no use, the computing and decisions should be real time. This becomes more critical to the Industrial scenario where several sensors attached to devices need to send data to cloud for processing and storage. Real-time feedback and action are important if an impending failure is detected. Any latency or bandwidth issue could lead to huge impact

The solution is to bring the data and analytics closer to the edge, this can significantly increase the response time of the IOT systems. The edge part of IOT is where the sensors and devices are. Fog computing is bringing the computing power closer to the edge.
The key goals of fog computing are

  1. push computing to the edge so that not every data is sent to the cloud
  2. Intelligence build in fog to take action based on data analysis
  3. Send selective data to cloud

Sensors are typically legacy devices and they collect data, there are no storage or intelligence build in. And every sensor will have their own communication protocol. The way to enable fog computing is to have fog nodes or gateways that are capable of receiving the data from several sensors. They should also be capable of storing this data locally and run analytics for any real time action. The fog node software should be capable of sending the selective data to the cloud.

PAASMER IOT platform architecture implements this kind of hybrid approach where the computing and intelligence are pushed to the edge at the same time sending selective data to cloud for recovery storage and enhanced analytics. PAASMER software stack – operating system and middleware sits on the fog node or gateway allowing connectivity to sensor following any protocol, Ingesting data, and process. There is light weight analytics engine in the software that provides the intelligence to the fog node to dictate action in real time to the sensor. The middleware software also allows data filtering and backend integration to the cloud for subsequent data storage and deep insight analytics.

To know more visit us at www.paasmer.co

IoT_image1

Weekly Digest on Internet of Things

ManagementTeamMouli1

Kavitha Gopalan

Why Fog Computing is the Killer App for the IoT
The speed at which technology evolves these days is amazing. Although we are still in the middle of the cloud revolution, suddenly a new networking paradigm has appeared: fog computing. And it seems to be a key component of another popular trend, The Internet of Things (IoT), or as we prefer to call it, the Internet of Everything.

The Internet of Things (IoT) will add a myriad of devices that will be connected to each other and to the Internet. Think of the Amazon Echo or the Apple Home application connecting to your smart lights, switches, thermostats, water valves, irrigation systems, moisture sensors, door locks—and even your vehicle. This network of physical objects—capable of communicating with each other, sharing data or executing actions based on information and commands—would be limited by a purely cloud model. Having all those devices stream data to and from a cloud service means significant latency, excessive bandwidth usage, security concerns for consumers and businesses, uncertain expectations for quality of service and a total dependency on the Internet connection.
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Artificial Intelligence + Algorithms = Assumptions!
Artificial intelligence (AI) has emerged in the public debate with Deep Mind’s recent win over a champion of the Chinese game GO. AI is all about computers getting better at solving problems formerly thought too difficult which should be left to humans. Since the 1970s, a small group of computer specialists and mathematicians based their hopes on teaching machines to follow the rule-based learning of human reasoning. They designed algorithms (coding these rules into software programs) which they hoped would enable computers to emulate human thought processes.

Today, these algorithms run more and more of our everyday lives.The much vaunted Internet of Things (IoT) uses algorithms to monitor our babies, open our locks, control our use of energy, steer our cars and oversee our fitness programs and diets. Algorithms control which ads we see online, monitor our buying habits and track our whereabouts by GPS and our smartphones. Increasingly, algorithms program drones and weapons systems.
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Step One for Operational Excellence: Automating Data Collection
The overall goal for any operational excellence program is to drive incremental improvement in the business. However, this action becomes such a challenge if you don’t have visibility into your plant floor performance. Effective decisions should always be based on data analysis and information, not speculation or conjecture. This is essentially what the Industrial Internet of Things (IIoT), Industry 4.0, or any other marketing term you want to use is aiming for — better decision making through increased plant floor connectivity.In fact, in a recent report by the Genpact Research Institute, 81% of industrial companies stated that they believe the adoption of the Industrial Internet of Things is the key to future success. That is why the first step every company should take (no matter the industry) if they truly want to achieve operational excellence is to get control over their manufacturing data.
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AWS IoT Button: Introduction
The Internet of Things is the next big thing. There is just one problem – too much of the IoT is being developed behind closed doors right now. There are companies spending billions of dollars on creating new devices and technologies. Technology has always properly grown when it has been in the hands of enthusiasts. Some of the best inventions we have these days were thought up in backyards with geeks fiddling around with technology. The IoT solutions available for enthusiasts were either too complex or not refined enough. That is why we are excited about the AWS IoT button.
The AWS IoT button provides a very simple way to control different devices around the home or outside. The best part is that it is very easy to both install and use. It is fully supported by AWS which is increasingly the home to many different technologies and solutions. The integration makes it very easy to achieve complex tasks in a simple way.
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Fog Computing: Intelligence at the Edge
As we connect more devices and systems in our plants to the Internet and build out the IoT, a tremendous amount of data will be generated and transmitted—terabytes of data per second. These are volumes of data the digital world has never seen before. This is the Big Data problem.

Moving that much data onto existing network and Internet infrastructures for cloud-based analytics and centralized management will dramatically increase Internet latency. For many industrial IoT applications, latency is not acceptable because real-time control and monitoring are mandatory.

For IoT to reach critical mass, intelligence must be pushed to the edge of the network. The network edge is where physical assets (things) such as sensors, actuators and circuits are connected to the network.
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Google waves goodbye to Linux for new IoT OS Fuchsia – coming soon to Raspberry Pi
Google is building a new operating system and kernel to run low-power and fully-featured devices for the internet.
While Android and Chrome OS have Linux at their heart, Google’s new OS, dubbed Fuchsia, opts for a different kernel to create a lightweight but capable OS, suitable for running all Internet of Things devices, from embedded systems to higher-powered phones and PCs.

Instead of the Linux kernel, Google’s new OS uses Magenta, which itself is based on LittleKernel, a rival to commercial OSes for embedded systems such as FreeRTOS and ThreadX.
Find out more on this post from ZDNet

2017 The Year Of Internet Of Things: Morgan Stanley
The IoT market has moved on significantly over the past 12 months. This time last year there was much hype surrounding the technology, although many speculated it would be years before the public widely adapted IoT devices. However, according to Morgan Stanley’s research, almost the entire semiconductor industry is preparing for the manufacture and introduction of IoT devices and related hardware to the market.

Indeed, Morgan Stanley’s AlphaWise research division survey 117 key decision-makers responsible for the engines of IoT growth earlier this year and found that 90% of designers are incorporating connectivity products into new designs. Considering the average lead time for a new product is 12 to 18 months, based on this data the inflection point for IoT devices is predicted to be the second half of 2017 with growth accelerating in 2018.
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internet-of-things

Weekly Digest on Internet of Things

ManagementTeamMouli1

Kavitha Gopalan

IoT Mid-Year Update From IDC And Other Research Firms
IDC presented on August 4 its annual mid-year IoT review webcast, hosted by Vernon Turner, senior vice president and research fellow for IoT and Carrie MacGillivray, vice president of IoT & Mobile. Here are the highlights:

  • An updated Digital Universe estimate of the amount of data created in the world annually (see above) forecast 180 Zettabytes (or 180 trillion gigabytes) in 2025, up from less than 10 Zettabytes in 2015 and 44 Zettabytes in 2020.
  • Reaching the analytics phase of IoT: The actionable IoT Data–the IoT data that is analyzed and used to change business processes–in 2025 will be as big as all the data created in 2020. To make real time decisions, says IDC, “machine learning becomes important for the machine.”
  • Connected devices: From less than 20 billion today to 30 billion in 2020 to 80 billion in 2025; by 2025, there will be 152,200 new connected devices every minute. “Everything we have of value will be connected to the internet,” says IDC.

Find out more on this post from Forbes

Advantech and Sigfox team up to blanket Taiwan in IoT
French IoT network providerSigfox announced a partnership with Taiwanese manufacturer Advantech on Tuesday.

Advantech plans to build 450 base stations for the IoT network, enough to cover the entire island. The network uses unlicensed radio spectrum, so it should be allowed to operate without government approval.Sigfox has quickly become a favorite among IoT providers, due to the network being inexpensive and scalable. After 50,000 devices, each device costs an average of $1to add to the network; a rate much lower than traditional IoT network providers.

Find out more on this post from readwrite

A future of mobile-centric healthcare could save lives
Picture the scene: an elderly woman with bronchitis is overcome by breathlessness while out for an afternoon shop. Instead of ignoring the problem, she immediately turns to her mobile phone, which is measuring her breathing rate and integrating that reading with other personal health data. The program decides that she needs a GP consultation within two hours, books it at a local walk-in centre and even tells her which bus to catch.

Welcome to the future of mobile centric healthcare. With spiralling costs, demand increases and staffing issues squeezing existing resources, a future of mobile-centric healthcare would increase efficiency – and maybe save lives.

Find out more on this post from Thegaurdian.

The Industrial Internet of Things and Manufacturing In 2016
The Industrial Internet of Things (IIoT) continues to be a hot topic of discussion throughout the manufacturing community. With the promises it offers and the potential to streamline processes, many manufacturers are excited about this concept. However, in a new report released by Genpact Research Institute, 81% of business executives strongly believe that the adoption of the IIoT will be vital for their company’s future success. Unfortunately, it has been found thatonly 25% have a concise IIoT strategy while other businesses don’t have a clear plan in place.

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IoT security suffers from a lack of awareness
Gaining awareness of devices residing on corporate networks is the first step to building a viable security architecture for the internet of things. The problem? Most CIOs don’t know what’s on those networks.

Factor in the hiding-in-plain-sight machines and BYOD devices, as well as emerging technologies that control office light fixtures, temperature and even window tint, and it’s easy to see how vetting what’s on the network will only get harder for CIOs. Securing internet of things is a primary focus of this week’s Black Hat USA conference, whose organizers told the Wall Street Journal that they received 50 proposals for seminars related to infiltrating devices, including how a computer worm could spread smart lightbulbs, how to hack medical systems, and a new kind of ATM skimming device.

Find out more on this post from CIO

Internet of Things strategies are going from general to specialized and vertical
Qualcomm, Intel and Dell are among the companies moving toward enabling vertical-specific IoT solutions.

Many companies, for example, initially tried to approach IoT with a more horizontal perspective, hoping to find solutions that worked across multiple industries and applications. Fairly quickly, however, most have found that they need to refine and focus their efforts across many separate vertical applications in order to find success.

For example, while connectivity and compute are clearly common characteristics across most all IoT applications, smartphone-component leader Qualcomm is starting to find traction in IoT by creating an extended range of reference platforms using its components across nearly 25 different applications. From drones, to wearables, from smart meters to connected cars, the company has built and shared an impressive range of specialized designs, leveraging various members of its Snapdragon CPU and modem family of SOCs.

Find out more onthis post from recode

IoT grows crops best, but still too pricy for farmers
The Internet of Things (IoT) is coming to the agriculture industry, but a new report suggests that service costs and niche products are slowing adoption of the new technologies.

Benefits of IoT in agriculture include better yield rates and reductions in the amount of water, soil, and seed needed. The worry, for farmers, is the implementation of IoT systems and cost of service surpasses the costs saved from using the technology.

In agriculture, there are a few suppliers that offer services at an annual cost. One of those is OnFarm Systems, which provides its Grower Dashboard, a platform to manage farm sensors, monitor temperature, cloud, and water irrigation, schedule tasks, and view analytics.

Find out more on this post from readwrite

16 Stunning Statistics that Forecast the Future of the Internet of Things
Everyone’s talking about the Internet of Things, even the “things,” which can now request and deliver customer support, tell if you’re being as productive as you could be at work, let your doctor know if you’re following orders (or not), reduce inefficiencies in energy consumption, improve business processes, predict issues and proactively improve or resolve them based on data received.

The Internet of Things (IoT) is just getting started. These forecasts below show why organizations need to get started too (if they haven’t already) on leveraging and responding to the Internet of Things.

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internet of things345

Weekly Digest on Internet of Things

ManagementTeamMouli1

Kavitha Gopalan

The IoT Is About to Shift into Ludicrous Mode
One of the biggest mistakes you could make now is to underestimate the Internet of Things, says Cisco’s Rowan Trollope. For many companies, embracing the IoT is crucial for their survival. “This is a life or death issue for most of our customers. They have seen what has happened with Uber and taxi companies and with Netflix and Blockbuster,”

Meanwhile, the IoT is quietly transforming the world and notable companies like UPS, GM, Boeing, Starbucks, and the industrial manufacturers like ABB are already embracing the technology. Practically every big tech company has made the IoT a big part of their business strategy. “Vertical by vertical, we are seeing tremendous transformation,” Trollope says.

Yet there is likely significant more potential for the IoT in domains such as smart cities, transportation, and manufacturing. The fact that the smart home realm gets the lion’s share of attention and hype could partly explain skepticism towards the IoT at large.

Find out more on this post from IOTI
Pwnie Express makes IoT, Android security arsenal open source
Pwnie Express has given the keys to software used to secure the Internet of Things (IoT) and Android software to the open-source community.

The Internet of Things (IoT), the emergence of devices ranging from lighting to fridges and embedded systems which are connected to the web, has paved an avenue for cyberattackers to exploit.

Vendors are struggling to keep up with emerging threats and firmware is often left outdated, placing consumer and business data at risk — but to assist researchers in finding IoT security flaws before they are exploited in the wild, Pwnie Express is opening up two software projects as open-source.

Find out more on this post from ZDNet

What are the challenges of ideation in IoT?
Manufacturers of products across the consumer spectrum have by and large read the writing on the wall by now: go IoT, or go home.

In the near future, pretty much everything more complicated than a paper clip will assume the prefix of ‘smart’, and join the ranks of connected, communicative, hitherto inanimate objects.

As this process continues to unfold and products are overhauled to stay relevant in an IoT world, it will behoove companies to remember that a product ceases to be smart if manufacturers don’t plan, or ideate, with certain elements of usability in mind. Sure, you can call anything “smart” by slapping it with sensors and a Bluetooth module. But is it actually smart for your company and your consumers?

There is a difference between being connected – and being smart. Smart product design and development involve several key factors on the user-facing side of things which must be taken into consideration.

Find out more on this post from readwrite.

State and Local Governments Embrace IoT, Including in Smart Cities
With help from the Urban Center for Computation and Data, University of Chicago and Argonne National Laboratory, Chicago is attacking these challenges with its “Array of Things” initiative and data analytics.
The city will deploy hundreds of sensors on streetlight poles across the downtown area and in residential neighbourhoods to monitor temperature, humidity, wind, noise, air quality and traffic from cars, pedestrians and bicycles. This mass of sensor data will then be transmitted over the cellular network to Argonne’s large central database.
The capacity to improve public services by collecting such data and applying related analytics is within reach for more cities and states as the Internet of Things (IoT) expands. From smart parking to automated detection of water leaks, governments now have access to real-time data that supports effective and efficient decision-making, which translates to concrete benefits for citizens.

Find out more on this post from Statetech

Cognitive manufacturing & Industry 4.0
Talk to any manufacturing executive and odds are they have heard of Industry 4.0. Originally coined in Germany through a technology project to computerize manufacturing, Industry 4.0 has now launched into a worldwide initiative to transform this sector.The two major technologies driving Industry 4.0 – Internet of Things and Analytics
To truly pave the way forward to Industry 4.0 and beyond, manufacturing has to evolve into cognitive manufacturing.
Cognitive manufacturing fully utilizes the data across systems, equipment and processes to derive actionable insight across the entire value chain from design through manufacture to support. Built on the foundations of IoT and employing analytics combined with cognitive technology, cognitive manufacturing drives at key productivity improvements in quality, efficiency, and reliability of the manufacturing environment.

Find out more onthis post from IBM

Two major IoT groups strike an alliance
Two IoT standardization groups — The Thread Group, founded by Alphabet’s Nest, and the newly formed Open Connectivity Foundation (OCF) — announced they will collaborate to ensure compatibility between their communication protocols, according to Forbes.
Interoperability and standardization have been major issues holding back IoT adoption. OCF, which was assembled earlier this year, is notable for bringing together competitors Intel and Qualcomm to ensure that their products operate smoothly together.
According to a June 2015 report from McKinsey, 40% of the IoT’s total potential economic value can be unlocked only by solving interoperability challenges to ensure devices from different companies can work together.

Find out more on this post from BI

GE’s IoT Plan For China
General Electric announced a partnership with China’s Huawei recently as it continues to build out its Internet of Things ecosystem.
The Internet of Things is a natural fit for GE. As the world’s largest maker of jet engines, diesel trains and other large industrial goods, finding ways to make things cheaper is in its DNA. Sensors and big data analytics software is just the logical next step. So in 2013 GE unveiled a productivity software platform called Predix in conjunction with Amazon Web Services, Accenture and EMC. The goal was to bring penny pinching predictive data analytics to the industrial sector at scale.
Luckily, it had a willing guinea pig: itself. Since 2013 Predix has had a profound impact on its own production lines. In 2015 GE was able to save $500 million. And the company’s Chief Digital Officer, Bill Ruh, is expecting savings of better than $1 billion by 2020.
Now it wants to get bigger in China.Partnering with Huawei adds network hardware might and a powerful political ally.

Find out more on this post from Forbes

10 ways big data, analytics, and sensors are helping behind the scenes
New solutions based on IoT, analytics, and business intelligence are reaching into every corner of industry and commerce. Some of these examples might surprise you.
We are surrounded by more “hidden” applications of big data, analytics, sensors, and business intelligence than we probably know—and in places where wemight not imagine it. Here are 10 ways this behind-the-scenes tech is redefining how the world works.

Find out more on this post from TechRepublic