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The Silent Intelligence The Internet Of Things Pdf

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The Internet of Things is not a new concept, as devices have been communicating with and Daniel Obodovski, The Silent Intelligence: The Internet of Things. ppti.info Download PDF The Silent Intelligence: The Internet of Things, PDF Download The Silent. ambulance before you even know you're having one.” —Daniel Kellmereit & Daniel Obodovski,. The Silent Intelligence: The Internet of Things.

And on the way, you will enjoy an entertaining, informing, and informed read by two authors whom I greatly respect. We used to discuss things like cloud services, big data, mobile health care, and so on.

We had these discussions every couple of months, and it seemed like the view of the San Francisco Bay encouraged big thoughts and interesting ideas. We often talked about the Internet of Things, or Machine-to-Machine M2M connectivity, which is a more technical term for it. The topic appeared confusing on one hand and exciting on the other, because it was incorporating many other technology trends.

Its hard to know which one of us first came up with the idea to write a book about M2M, but we both loved the idea immediately and decided to embark on this project. Indeed, Benjamin Disraeli once said, The best way to become acquainted with a subject is to write a book about it. Little did we know what we were getting ourselves into Like a lot of people in the industry, we were intrigued by the emerging growth of Machine-toMachine communication.

Our respective skill sets and backgrounds are complementary Daniel Kellmereit is the CEO of a top consulting company; hes written several books and has a wellstructured, analytical mind.

Daniel Obodovski has led multiple M2M projects at Qualcomm and has practitioners experience. We decided to reach out to our respective networks and interview those with the most experience to hear and convey their stories. In the process, we also met and interviewed other amazing people in the space: pioneers, thinkers, and visionaries. One of the things we discovered was how much of the Internet of Things was actually already happening around us, without us really noticing, because the subject is very diverse and not covered by the popular media nearly as much as, for example, social networks or smartphones.

That gave us the idea to call our book The Silent Intelligence, because we feel like machines and things around us are becoming more intelligent and are doing so silently. Although the demands of our respective jobs, combined with the inherent complications of cowriting a book, were challenging, we both felt it was necessary to write The Silent Intelligence for ourselves and for you, our readers.

With determination and commitment, we overcame the challenges this collaborative project presented, to deliver, over a year later, the finished book you hold in your hands. The main subject of this book is how connecting the physical world around us to the virtual world of the Internet can result in huge gains.

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By the physical world we mean things like cars, buildings, industrial machinery, home appliances, medical devices, bicycles, plants, animals, and human bodies. By gains we mean, for example, recovering lost or stolen items using embedded GPS tracking devices, remotely monitoring a patients health using tiny body sensors and thus preventing a heart attack, or monitoring the temperature and security of your home from anywhere in the world.

The potential is enormous, but so are the challenges. As Kelly Venturini of M2M Certified put it, Everybody wants to get connected and they dont freaking know how to do it. We wanted to build upon these sources, but also go further and deeper in our examination, to answer these fundamental questions: What is the Internet of Things?

How is it coming about? What are the key trends?

What is the potential? What needs to be done to succeed in this space? Our goal was to first make sense of this vast topic for ourselves, by analyzing the mentioned sources, considering our own experience, and talking to the industry thought-leaders and subjectmatter experts.

Then we wanted to share what we were discovering with our readers. Our hope is that this book will help you better understand this space, realize the potential, and recognize the challenges and complexity. Finally, we want to share our views on how to overcome obstacles and identify the most promising areas for investment and job creation.

The first four chapters of the book take a thirty-thousand-foot-high view of the subject, while the last three chapters go into more practical detail and examine the specific challenges, opportunities, and examples. In chapter 1, we start by defining the subject and what impact it might have on our everyday lives. Here we also talk about the nature of the terms Machine-to-Machine and the Internet of Things and others, such as embedded computing and smart services.

Then we examine the history of the topic. We followed the advice of Peggy Smedley of Connected World , who suggested we look back before we look forward. It was important for us to understand where the Internet of Things came from, which trends preceded it, and, more importantly, which trends are aligning now to facilitate the exponential growth of new services, businesses, and opportunities in this space.

Chapter 2 talks about the technology ecosystem of M2M and its various players. In this chapter, we attempted to logically split the ecosystem into three main areas: data collection, data transport, and data analysis. Here we also talk about the main technical challenges of the space and the opportunities that present themselves in addressing these challenges.

Chapter 3 looks into the future of M2M and the Internet of Things and focuses on what this brave new world may look like. We ask some provocative questions: What role will humans play when a lot of decision-making is done by machines, and might humans ever become a bottleneck to realizing the Internet of Things vision? We also take a peek at what the ubiquitous connectivity between various devices may look like in real terms.

Chapter 4 is dedicated to the core industries of M2M.

HISTORY AND TRENDS

We picked connected cities, connected homes, connected health care, and connected cars. While these areas do not cover all the aspects of M2M not even close , they do offer great examples of the impact Machine-to-Machine technology will have. We also hope this overview will help readers discover new areas for M2M and the Internet of Things on their own. Chapter 5 starts by discussing the importance of well-defined use cases for the success of a technology or a business.

We examine specific use cases in the M2M space that have been implemented with varying degrees of success. Comparing these provides a better map for what has been working and not working in M2M. We spend some extra time discussing the use case for bodyworn fitness devices, using BodyMedia as an example. Chapter 6 explores the topic of getting an M2M product to market and the surrounding challenges. Most of this chapter is based on specific firsthand experiences in launching M2M products and the lessons learned.

The central part of this chapter is Mark Wells story about how he built his company, Procon, from zero to one of the largest and the most successful companies in M2M. Finally, in chapter 7 we analyze the investment attractiveness and opportunities of the M2M space, based on expert views and our own conclusions. This chapter answers the question: Where would and should you invest in M2M if you were an entrepreneur, individual, institutional investor, or a corporation willing to get involved in the M2M space?

They tell fascinating stories about their experiences in the M2M space, which we did our best to capture and present in our book. We hope the stories and conclusions in this book will help you better understand the space and its potential. And who knows? Perhaps youll decide to start a new business, invest in the M2M vertical or industry, launch a new project, or just be as excited about this new growing world as we are.

In any case, we wish you happy reading.

Below is a well-known story, popularized by Ray Kurzweil and retold as we know it, that illustrates the power of exponential growth. In ancient China a man came to the emperor and demonstrated to him his invention of the game of chess.

The emperor was so impressed by the brilliance of the mans invention that he told the man to name his reward. The man asked for his reward in an amount of rice that one grain be placed on the first square of the chessboard, two on the second, four on the third, and so on doubling the number of grains on each subsequent square.

Not being a very good mathematician, the emperor at first thought the reward to be too modest and directed his servants to fulfill the mans request.

By the time the rice grains filled the first half of the chessboard, the man had more than four billion rice grains or about the harvest of one rice field.

At that point the man was rich. By the time the servants got to the sixty-fourth square, the man had more than eighteen quintillion rice grains 18 x , or more than all the wealth in the land.

But his wealth and ability to outsmart the emperor came with a price he ended up being decapitated. In their recent book, Race Against the Machine,1 Erik Brynjolfsson and Andrew McAfee, referenced the fable of the chess and rice grains to make the point that exponential increases initially look a lot like linear, but they are not.

As time goes by as we move into the second half of the chessboard exponential growth confounds our intuition and expectations. As a result, in the early stages of a project or a new technology, its very hard to discern whether or not something will experience exponential growth. As you will find in these next chapters, we believe this is exactly what is going to happen with the rise of the Internet of Things. If thats the case, the next decade and beyond is not only going to be more amazing from the standpoint of new devices and services coming to our everyday lives, but we will also see a dramatic change in our lives and the way we do business.

Many terms have been coined for the discussion of this topic: the Internet of Things, Machine-toMachine communication or M2M, ubiquitous computing, embedded computing, pervasive computing, smart services, and, recently, General Electric added the term the Industrial Internet to the mix. One sign that were dealing with something significant is that we are having difficulty naming it. No single term fully describes the phenomenon. Everyone is seeing a part of the phenomenon that is closer to him or her and names it accordingly.

What is the phenomenon that we are struggling to name? Lets look at some examples. Remote monitoring of industrial machinery through sensors helps avoid downtime.

As Nokia mentions in their white paper, Machine-to-Machine: Let Your Machines Talk, An ice-cream vending machine wants to tell the supplier that its running out of chocolate cones, enabling the vending operator to better schedule his on-site visits. Wearable electronics help people manage their weight or help pregnant women and their doctors monitor, in real time, the well-being of an unborn child. Smart electric meters help consumers save on energy costs, while enabling the utility companies to optimize network load and avoid blackouts.

Radio Frequency Identification RFID tags help us talk to the things around us, such as garments on the shelf of a store, to determine whats in stock and what needs to be reordered. Connected cars help monitor performance, including tire wear. Cars communicate with one another to better navigate in traffic. Usage-based car insurance systems help insurance companies better manage risk, offer lower premiums to better drivers, and help drivers improve through instant feedback, thus making everyone safer.

Small tracking devices help recover lost children or pets. Covert tracking devices help law enforcement quickly recover stolen cargo. Smart cargo packages can ensure that valuable cargo arrives on time and undamaged. And, if thats not enough, we can talk about tracking endangered animals, Tweeting plants, body sensors as small as temporary tattoos, connected contact lenses, driverless cars, and more.

All these things are possible because of M2M technology, and all these examples represent the Internet of Things. Any device that is not connected is dumb. In the future, everythings going to be smart. Technology is making things around us smarter, yet were often not even aware of it. We called this book The Silent Intelligence because most of the activity and growth in the space has been happening outside of mainstream visibility. Who cares if, for example, their electric meter just became smart and connected?

But the value and implications of this development on our lives is enormous. Its not about technology, but what it can do. As Astro Teller, director of new projects at Google, puts it, What I care about is value being delivered to people. Usually it takes technology to do that, and I love technology in as much as it can help you deliver fantastic new value to people to solve problems or give them benefits they had never anticipated they could ever receive.

In a nutshell, the biggest benefit of the Internet of Things is that it gives us a unique opportunity to talk to the analog world around us machines, people, animals, plants, things in a digital way, with all the benefits of digital communication speed of light, easy multiplication of data, and easy integration with other digital systems.

All this, combined with wireless communication, produces an effect of machine telepathy, a condition where things can communicate over large distances unconstrained by wires. Specifically, this gives us an opportunity to eliminate a lot of guesswork from everyday decisions.

For example, by monitoring driving behavior, an insurance company collects a more accurate assessment of the risk profile than they would using just demographics, thus enabling them to finetune their rates. Another example is intelligent digital signs, which can recognize the area on a sign that people have been looking at most by tracking their eye movement.

As Peggy Smedley says, Its machines talking to machines giving us data, which is turned into information that we can act upon. Its not Machine-toMachine; its thing-to-thing. The machine is irrelevant. That creates an ecosystem of things that talk to each other, and people are in the middle of it. If your environment is equipped with inputoutput nodes everywhere, it dramatically changes your relationship to your environment.

If we look back at the flow of technology development up until now, what might follow would start making a lot more sense. And its true: The rapid growth of the Internet of Things and M2M flows logically from the overall computing and telecommunications technology development of the past several decades.

Astro Teller describes it like this: If you look at what happened with computers, they went through this relatively long period when they were big and clunky. People didnt see the need to have them in their homes until there were initial killer apps like spreadsheets and word processing. That helped to get the adoption started, but thats not why people have PCs anymore.

Phones went through the same cycle. The killer app that caused the adoption was voice communication.

Now that is not even the primary reason why people have smartphones otherwise iPod Touches and iPads wouldnt be so popular. In both of those cases, weve seen an explosion of apps. Other things that you can do [with the installed base of these devices] turn out to be the reason, in the end, to dominate their value.

Yet, we couldnt have made that argument at the beginning for either the PC or the phone. I believe that wearable connected devices are going to go through the exact same process. The killer app today is weight management and fitness applications. But thats not why people are going to have body electronics there will literally be tens of thousands of applications, some of which will be very conscious or explicit.

We will review examples of wearable connected devices in the following chapters. Assaf Biderman makes a similar observation regarding the proliferation of networks: Thinking more completely about the early days of the Web: At the very beginning, once the concept was sort of worked out and tested, there was what wed call an installation era.

Data warehouses were built and switches were put in place. These were mostly investments provided by either governments or by corporations with long-term visions. At the end, there was a critical mass of infrastructure. There was a skeleton that was strong enough to allow for bottom-up growth, and that bottom-up is really what created big value.

We help you connect the dots.

Who knew, when the Web started, that the biggest rising thing a decade and something later would be Google? It came out of nowhere. I think that bottom-up movement so far provided the biggest value for the Web. In the s, the Internet became the standard for connecting personal computers and enterprise machines, which enabled a dramatic increase in productivity for individuals and corporations specifically for order processing and spurred electronic commerce.

In the meantime, cellular networks were being built. Consumers need for personal communications drove the rapid adoption of mobile phones, and with that, the innovation that was happening on mobiles miniaturization, power efficiency, integration of sensors, antenna performance, and more. Finally, in the twenty-first century, personal computers and mobile phones merged, creating smartphones one of the most successful platforms of all time.

Now we are witnessing the next evolutionary step as mobility and computing are finding their way into smaller and more diverse devices personal fitness, cars, home entertainment, health care, and so on. The key trends that have been driving this technology development are: Miniaturization: Electronic devices have become smaller and more powerful, driven by Moores Law,3 but also by improvements in electric power management.

Affordability: The costs of electronic components and networks have been consistently going down, also driven by Moores Law to a large extent. De-wireization: More and more things are becoming wireless, which means they can be located anywhere. The growing ubiquity of cellular and Wi-Fi networks has driven this trend. The last wire to disappear will be the power cable, driven by advances in wireless power and power management.

Usually, once the necessary prerequisites are in place, the technology adoption that follows happens extremely fast. One good example is the rapid proliferation of smartphones. It took a long time to build 3G networks, ensure their stability, and create an ecosystem of applications, but once Apple introduced the first iPhone in and Android followed shortly after, smartphones took over the market within three years.

We believe something very similar is about to happen in the M2M space. A big part of technology adoption is awareness. As Peggy Smedley says: Its all of these great minds that helped us understand what the technology can do for us, people like Robert Metcalfe or Steve Jobs and other great visionaries. They helped us really understand what the technologies can do, what the data behind the technologies can do.

We have to look back before we can look forward. We will talk more about the M2M technology ecosystem and its challenges in chapter 2; for now, lets look at the history of M2M or the Internet of Things.

Something is happening. Things are starting to talk to other things. You will see it all around you. Go-To-Market Strategy What problem is your solution helping to solve? Which vertical industries should you pursue?

Who is your customer within the customer? What is the whole technology stack and who are the key players? If your position is threatened, what are your options?

Which channels to market should you use? What market development, business development, sales, implementation and support resources will you require to succeed? Implementation Strategy What is blocking your path to IoT implementation? What are the key trade-offs or opportunity costs — economic, operational, technology, business, regulatory?

What resources will you need? What are the various technology options? A lot of this stuff is already quite visible to the general public anyway, just watch the ads on TV for home security systems as an example. People are more aware of rapid tech changes coming at them than they were in the 90's when the PC and the internet first appeared.

The book is well written, researched and easy to read and for this I do recommend it for anyone wanting to begin understanding some of the changes headed our way, however they will need to connect to many additional resources in addition to this book in order to have a more comprehensive and current understanding kurzweilai. I think the authors did a great job in connecting all the pieces of this complex ecosystem, how it is applied to various vertical markets such as automotive, manufacturing and healthcare, in a compelling, yet easy to comprehend way that anyone can understand.

I was especially pleased to see them tackle the topic of the enormous amounts of constantly increasing amounts of data that the IoT world generates and how to make sense of it all. I also appreciate their frank appraisal of some of the issues we still face in the M2M world, such as fragmentation and data sharing.

The writing itself is engaging and easy to understand, while very informative. I also enjoyed the way they weaved quotes from industry experts to validate their points.

I for one am looking forward to the day when my car drives me autonomously to my office, while my house knows to reduce energy consumption while I'm away and start the dishwasher later in the day, and my watch reminds me it's time to have a solid, carb-full lunch because I'm scheduled for that 30 mile bike ride later in the afternoon! Thank you to both authors for painting that picture of the possibilities with this book.

Makes you think of the possibilities By Amazon Customer The "two Daniels" have painted a good snapshot of the state of an industry that is finally starting to get some traction in mainstream applications. The idea of millions or billions of "things" reporting their status automatically via wireless means in ways that allow centralized or distributed analysis and, eventually, response and control actions is just becoming a reality.

This book paints a good broad picture of how this r evolution may come about and the markets and technology forces that will come together to make this happen. The book reads like a kind of market research report, but without the multitudinous data tables and graphs that are typically found in those kinds of report.

Based on a large variety of interviews conducted by the authors, they present an assortment of perspectives on this nascent market provided by a number of industry leaders who have watched the conception and birth of this next phase of interneting.

The Silent Intelligence: the Internet of Things

The challenge to any book like this is that technology, markets and economies are moving so fast that the industry status changes very quickly and, thus, any snapshot is rapidly obsolete. Thus, the book does not go into depth about the specific technology challenges or economic drivers as these issues are very fluid and dynamic.

The bottom line presented by the authors is that the new "internet of things" is happening now and that major markets are primed for embracing the benefits and values that this new capability provides. Posting Komentar. Sabtu, 28 Maret [I Sales Rank: English Number of items:In , when the World Wide Web was on the rise and many companies wondered how it would affect their businesses, Nicholas Negroponte wrote in the foreword to Unleashing the Killer App: Says Steve Pazol: As the networks get more pervasive, as processing power has gotten cheaper and as wireless standards are now in place, all of a sudden there is a mass capability to wirelessly enable things.

In , U. If it is at risk to break down. Peggy says the term M2M has been a funny one, because people in the industry started calling all kinds of use cases and related technologies M2M. After I get the dictionary.

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