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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.
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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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