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IoT and Data- Quite Unstoppable

According to Cisco, currently there are 10 billion things – phones, PCs, things – connected to the Internet. That is merely 600ths of one percent of the actual devices and things that exist right now. There are over one trillion devices out there right this very minute that are not talking to the Internet – but soon enough they will be.

Kevin Ashton, cofounder and executive director of the Auto-ID Center at MIT, first men-tioned the Internet of Things in a presentation he made to Procter & Gamble in 1999. Here’s how Ashton explains the potential of the Internet of Things:

“Today computers -- and, therefore, the Internet -- are almost wholly dependent on hu-man beings for information. Nearly all of the roughly 50 petabytes (a petabyte is 1,024 terabytes) of data available on the Internet were first captured and created by hu-man beings by typing, pressing a record button, taking a digital picture or scanning a bar code.

The problem is, people have limited time, attention and accuracy -- all of which means they are not very good at capturing data about things in the real world. If we had com-puters that knew everything there was to know about things -- using data they gathered without any help from us -- we would be able to track and count everything and greatly reduce waste, loss and cost. We would know when things needed replacing, repairing or recalling and whether they were fresh or past their best.”

Covergence

The broadband divide could prove to be a real hampering force to the Internet of Things movement that is gaining speed today. Cloud, mobility, big data are all con-verging and making a seamless network, but the success of this convergence de-pends heavily on the ability to actually move and access the data. And considering that millions of additional devices (some of which are just sensors) will enter the equation means its time for further investment and quick. According to the CIO Sur-vey, organizations are in a prime position to innovate and make significant changes.

CONNECT ANY THING OVER ANY NETWORK

The Internet of Things (IoT) is a computing concept that describes a future where everyday physical objects will be connected to the Internet and be able to identify themselves to other devices. It is significant because an object that can represent itself digitally becomes something greater than the object by itself. No longer does the object relate just to you, but is now connected to surrounding objects and database data. When many objects act in unison, they are known as having "ambient intelligence."

Business Model focusing more on Data

In other words, as the physical and digital worlds integrate more closely with each other, and the number of connected devices is predicted to reach 25 billion by 2018, the IoT will enhance and evolve our ability to manage and process information . It’s a more context-oriented world, because there is better data. First thing in a new technology, people do all the obvious things that look like the old market, but more efficiently. In the Internet, GNN had web ads like old newspaper ads. Later there was Google search, which was a different way of doing advertising, by focusing more on data. Now we’ve got social search, social networks. The business model moves to something that is more native to the technology. Uber is an early IoT company. Other businesses will pop up that do more native things. Much of what is available are components that require highly specialized knowledge and skills to make use of. The Internet of Things and its partner in crime, big data, can also impact society at a much higher level. By effecting better decision making through a better understanding of data, we can tackle socioeconomic issues like poverty and disease, education, and quality of life around the world. You know that soccer ball that generates electricity (an awesome invention, btw)? The IoT is the next exponent up.

 IoT focus on what matters most to you

The Internet of Things is not a futuristic, aspirational technology trend. It’s here today in the devices, sensors, cloud infrastructure, and data and business intelligence tools you are already using. Rather than thinking about the Internet of Things in terms of everything–such as billions of devices and sensors–focus on what matters most to you. Instead of thinking about the massive amount of data being produced, think about how one piece of data can provide value to your business. The DIY Marker community has its Arduino and Rasberry Pi boards to create toy educational experiments but even those require a bit of study to make sense of. The only project that I know of that seems to be pointing in a direction of making IoT available as a platform for anyone to create with is the TOI, thingsoninternet.biz and their VIPER platform. It is a set of components that are open so available from many sources and they have made Python available as the programming language. Python was create to be an easy programming language to learn but until VIPER it was not suitable for embedded devices. Look for this interesting product on kickstarter and use it to point to a direction for the rest of the industry.

That said, the notion of “The Internet of things” is something unstoppable. More and more devices will become Internet enabled, not less. What needs to be addressed is rock-solid security (logical and physical) combined with privacy laws and policies. At the same time, a comprehensive set of government acts, laws, and regulatory frameworks and technical standards needs to be developed to harness the potential of new models of interactions among the machines and people.

Best Regards,

Raj Kosaraju

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IoT Evolution or IoT Revolution

During all these years evangelizing on the Internet of Things (IoT), I have been explaining to customers, partners and friends that IoT can positively change the way we do business and the way we live our lives.  I have been asked if IoT is a new revolution in our society, or it is just one more step in the technological evolution of the he digital revolution. Today, the debate continues but whether evolution or revolution, The Internet of Things is here to stay.

If you have read AIG´s whitepaper entitled “Internet of Things: Evolution or Revolution?” you learned IoT, from its origins, to its applications in business, the risks associated with its inevitable arrival and how with the IoT is coming bringing dramatic changes. In the whitepaper we discover that in spite IoT is often presented as a revolution that is changing the face of society or the industry in a profound manner. It is an evolution that has its origins in technologies and functionalities developed by visionary automation suppliers more than 15 years ago

I definitely think it’s an evolution

The development of the Internet of Things is a bold move. IoT is not just a leap from the Internet. The Internet of Things brings with it an evolutionary force that we rarely see in technology.

It is important not scare the most conservative enterprises. It is not about ripping out current automation systems to replace them with new technologies. End users will resist rapid and radical change because of the increased risk of downtime and associated costs.

I think that this debate should be framed in a more general question. What Age period are we living?

 

The Connected Age or the Age of Sensorization

I consider the start of the Connected Age when the Internet of Things term was coined by Kevin Ashton executive director of the Auto-ID Center as the title of a presentation he made at Procter & Gamble (P&G) in 1999. Probably Kevin envisioned that the move to sensorization will transform every industry in the world.  In the Age of Sensorization, it’s possible to make more accurate and quantifiable assessments using real time sensor based information.

The main driving force behind the Connected Age is data – data that can be collected, data that can be analysed, data can be shared and data can be used to improve many service offerings.

Data is the new oil in this AgeThe global sensorization is driving new ideas and thoughts that will ultimately drive innovation in our personal, business and working lives. Sensor´s data is opening up new opportunities, driving new business models and taking innovation to new levelsNo doubt that sensors’ data is a valuable commodity. The European Commission has proposed to impose a tax on the revenue of digital companies based on their users’ location, on the grounds that “a significant part of the value of a business is created where the users are based and data is collected and processed.”

We are still living in the Connected Age. I expect this Age ends in 2025, no because there will not be more things to connect but because is when most of things will become intelligent and start controlled by robotsThe Robotic Age or the Age of Artificial Intelligence

Reading Genesis of AI: The First Hype Cycle, I  rediscovered how Artificial Intelligence (AI) was born and evotution till now. But it was after I read Your Data Is Crucial to a Robotic Age. Shouldn’t You Be Paid for It? I realised maybe I was wrong and we already living the final years of the Connected Age and we are entering before 2025 , not without a certain fear, the Robotic Age.

According to IDC: ”By 2019, 40% of digital transformation initiatives – and 100% of IoT initiatives – will be supported by AI capabilities.

Qualcomm envision a world where edge AI makes devices, machines, automobiles, and things much more intelligent, simplifying and enriching our daily lives.

AI has emerged as the most exciting capability in today’s technology landscape. It’s potential is rich in large, complex organizations that generate massive amounts of data that can be fed into AI systems.

Data is the crucial ingredient of the AI revolution. We can envision that  AI -driven companies will represent the future of broader parts of the economy and  we may be headed for a world where labor’s share falls dramatically from its current roughly 70 percent to something closer to 20 to 30. At the same time the number of robots will increase and be part of the society.

Robotics and Artificial Intelligence have reached a crucial point in their evolution. A robot is no longer just a mechanical device capable of interacting with its environment and carrying out an assigned task. At present, the main research laboratories all over the world are developing and implementing in sophisticated robots technical, practical and even philosophical tools. Nevertheless, we can not forget that there are still problems in the land of AI.

Could we avoid psychopath and sociopath robots?

Companies need to move quickly to embrace AI so that they can support the burgeoning Internet of Things (IoT) and deliver the kinds of services customers are demanding.

Finally, if your company is thinking about Build or Buy Artificial Intelligence, take a look at this article.

The Cognitive Age

The cognitive revolution was a period during the 1950s-1960s when cognitive psychology replaced Behaviourism and Psychoanalysis as the main approach in psychological fields. Increasing focus was placed on observable behaviours in conjunction with brain activity and structureFor those of you who believe the mind the centre of all things, David Brooks, the New York Times columnist, wrote two editorials  that point to wider transformations that are shaping the world in which we liveWe could consider the start of Cognitive Age when Facebook abandoned an experiment after two artificially intelligent programs appeared to be chatting to each other in a strange language only they understood. The two chatbots came to create their own changes to English that made it easier for them to work – but which remained mysterious to the human.

Are we sure Facebook shut down Its Artificial Intelligence Program?  Facebook not the only company or government running secrete AI programs. Are you scaredThere are many myths about Cognitive. This article pusblished by Deloitte the Consulting company help dispel five of the most persistent myths.

  • Myth 1: Cognitive is all about automation
  • Myth 2: Cognitive kills jobs
  • Myth 3: The financial benefits are still remote
  • Myth 4: AI is overhyped and bound to disappoint
  • Myth 5: Cognitive technology is just for ‘moonshots’

We need to start thinking how to  prepare ourselves and our business for the Cognitive Age.” As I explain in “Bring Your Own Cyber Human (BYOCH) – Part 1: Augmented humans” we are in the path to being cyber humans. To live in the Cognitive Age, I encourage companies to invest in how to enhance our senses and to increase our intelligence to compete and win over robots.

Key Takeaways

The Connected Age is a fact. ARM is predicting 1 trillion IoT devices will be built until 2035.  For those who think that the IoT is a revolution, not be worried because we are just simply in an evolutionary process.

With the introduction of AI and machine learning, enterprises will be able to embark on projects never thought possible before. The Robotics Age is going to be a great challenge for humanity. The fear of being inferior to our creation, not being able to control them, to compete with machines for a job, to have to obey them will really mean the beginning of a revolution.

What does AI mean for the future?. What will be the implications and the risks? Will AI really understand humans?. With the current skills humanity will be in inferiority to face the cognitive systems that will populate Cognitive Age.  That is why I encourage governments, private laboratories and researchers to work on  Augmented Humans projects if we do not want to be slaves to our uncontrolled inventions.

Thanks for your Likes and Comments.

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What is a smart city? The answer depends on who you ask. Solutions providers will tell you it’s smart parking, smart lighting or anything to do with technology. City officials may tell you it’s about conducting city business online, such as searching records or applying for permits. City residents may tell you it’s the ease of getting around, or about crime reduction. Everyone is right. A smart city, built properly, will have different value for different stakeholders. They may not think of their city as a “smart”city. They know it only as a place they want to live in, work in, and be a part of. To build this type of city, you have to first build the smart city ecosystem.

 

A smart city is built on technology, but focused on outcomes

A scan of the various smart city definitions found that technology is a common element. For example, TechTarget defines a smart city as “a municipality that uses information and communication technologies to increase operational efficiency, share information with the public and improve both the quality of government services and citizen welfare”. The Institute of Electrical and Electronics Engineers (IEEE) envisions a smart city as one that brings together technology, government and society to enable the following characteristics: a smart economy, smart mobility, a smart environment, smart people, smart living, smart governance.

But what does a smart city really do? Our scan of smart city projects worldwide showed that initiatives fell into one or more smart city “outcomes” (Figure One).

Figure One. Smart city projects are aligned to one of seven outcomes.

 

As a starting point, we define a smart city is one that uses technology extensively to achieve key outcomes for its various stakeholders, including residents, businesses, municipal organizations and visitors.

 

The smart city ecosystem framework

Figure Two shows our framework for a smart city ecosystem. A vibrant and sustainable city is an ecosystem comprised of people, organizations and businesses, policies, laws and processes integrated together to create the desired outcomes shown in Figure One. This city is adaptive, responsive and always relevant to all those who live, work in and visit the city. A smart city integrates technology to accelerate, facilitate, and transform this ecosystem.

Figure Two. The smart city ecosystem framework.

 

Four types of value creators

There are four types of value creators in the smart city ecosystem. They create and consume value around one of the outcomes listed in Figure One.

When people think of a smart city, they automatically think of services provided by municipal and quasi-government agencies, such as smart parking, smart water management, smart lighting, and so on. In fact, there are three other value providers and users that co-exist in the smart city – businesses and organizations, communities, and residents.

Businesses and organizations may create services that use and create information to create outcomes for its stakeholders. Some examples of “smart” businesses include Uber and Lyft for personal mobility, NextDoor for information sharing, and Waze/Google for traffic and commute planning.

Communities are miniature smart cities, but with very localized needs. Some examples of potential smart communities include university campuses, office parks, airports, cargo ports, multi-dwelling unit (MDU) or apartment complexes, housing developments/neighborhoods, business districts and even individual “smart” buildings. They have needs for smart services that may be tailored specifically for their stakeholders.

Residents or individual citizens are also smart services providers in the smart city. A resident living near a dangerous street intersection can point a camera at the intersection and stream that information live to traffic planners and police. Residents place air quality measurement sensors on their properties to monitor pollution and pollen levels during certain times of the year, and make that information available to other community members. Residents can choose to make these smart services temporary or permanent, and free or fee based.

 

The Smart City is built on layers

A smart city is an ecosystem comprised of multiple “capability layers”. While technology is a critical enabler, it is just one of many foundational capabilities that every smart city must have. No one capability is more important than the rest. Each capabilities plays a different role in the smart city. These capabilities must integrate and coordinate with each other to carry out its mission.

 

Value layer. This is the most visible layer for city residents, businesses, visitors, workers, students, tourists and others. This layer is the catalog of smart city services or “use cases”, centered around the outcomes (Figure One), and offered by value creators and consumed by the city stakeholders.

Innovation layer. To stay relevant, value creators in the smart city must continuously innovate and update its services for its stakeholders. Smart cities proactively facilitate this through a variety of innovation programs, including labs, innovation zones, training, ideation workshops, skills development and partnerships with universities and businesses.

Governance, management and operations layer. The smart city creates disruption and results in digital transformation of existing processes and services. Smart city management models must integrate a new ecosystem of value creators and innovators. They must plan, support and monetize new business models, processes and services. They must upgrade their existing infrastructure and management processes to support “smart” services. Finally, they must measure the performance of the city with a new set of metrics.

Policy, processes, and public-private partnerships, and financing layer. The smart city doesn’t just magically appear one day. An entirely new set of engagement models, rules, financing sources, and partners are required to build, operate and maintain the smart city. Cities must develop a new set of “smart” competencies in order to get and stay in the “smart city game”.

Information and data layer. The lifeblood of the smart city is information. The smart city must facilitate this in several ways, including open data initiatives, data marketplaces, analytics services, and monetization policies. Equally important, they must have programs that encourage data sharing and privacy policies to protect what and how data is gathered.

Connectivity, accessibility and security layer. People, things and systems are interconnected in the smart city. The ability to seamlessly connect all three, manage and verify who and what is connected and shared, while protecting the information and users is crucial. The highest priorities for smart cities are to provide a seamless layer of trusted connections.

Smart city technology infrastructure layer. Most people automatically think of technology when talking about smart cities. The smart city technology infrastructure must scale beyond the traditional municipal users and support a new class of value creators, and city/user stakeholders.

 

Leveraging the smart city ecosystem framework

The smart city is a complex ecosystem of people, processes, policies, technology and other enablers working together to deliver a set of outcomes. The smart city is not “owned” exclusively by the city. Other value creators are also involved, sometimes working in collaboration and sometimes by themselves. Successful and sustainable smart cities take a programmatic approach to engage its stakeholders across the ecosystem.

Our research has found that many cities are not taking an ecosystem approach to smart city projects. This is due in part to smart city projects being managed by the Information Technology (IT) organization where their charter is on systems development and deployment. In contrast, more experienced smart cities manage their smart city programs through internal cross functional “Transformation” or “Innovation” organizations.

Regardless of where cities are in their smart city journey, they must get ahead of the “curve” with smart city projects. They begin by thinking in terms of building the broader ecosystem in order to create a sustainable and scalable smart city. Key next steps include:

  1. Understand the smart city ecosystem framework and tailor it to the realities of their specific city. Incorporate this model into the development of their smart city vision, strategy and execution plans.
  2. Relative to the smart city ecosystem framework, identify current capabilities and gaps across the various layers. Understand what is needed to support the four types of value creators.
  3. Evaluate existing and new smart city projects and initiatives against the ecosystem framework. Use this framework to identify what is missing from the project plans and what is needed to make the projects fully successful.
  4. Prioritize and develop competencies across the various ecosystem layers. A smart city requires new skills and competencies. Augment existing capabilities through strategic partnerships and contracting with service providers, as required.

 

About:

Benson Chan is an innovation catalyst at Strategy of Things, helping companies transform the Internet of Things into the Innovation of Things through its innovation laboratory, research analyst, consulting and acceleration (execution) services. He has over 25 years of scaling innovative businesses and bringing innovations to market for Fortune 500 and start-up companies. Benson shares his deep experiences in strategy, business development, marketing, product management, engineering and operations management to help IoTCentral readers address strategic and practical IoT issues.

This post was co-authored with Renil Paramel, an IoT Innovation Catalyst, Strategist and Senior Partner at Strategy of Things.

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The predicted growth of the IoT market in manufacturing is unprecedented. At the moment, Markets and Markets researchers predict it to reach $13.49 billion by 2020. Just to give you some perspective, in 2015 the value of this market was estimated at $4.11 billion. The main IoT technology applications in manufacturing revolve around enhancing connectivity and automation. The main goal of this tech is to maximize the efficiency of the manufacturing process while minimizing its costs. The benefits of utilizing digital solutions in this industry are a great motivation for the developers as seeing what has already been achieved prompts them to see how far they can push these solutions.

The most important benefits, no doubt responsible for such a tremendous growth of the IoT manufacturing industry, include:

Boost in Work Efficiency

 

Constant improvement of the manufacturing operation is one of the main goals for any industrial business owner. Implementing IoT technology on any level of the manufacturing allows to:

  • Automate the production process, or some of its steps
  • Pre-test new ideas and designs (using a combination of advanced modeling and testing solutions)
  • Analyze the production process and identify its strengths and weaknesses
  • Save time and money for the business by increasing the efficiency of both the production line and employees
  • Monitor the manufacturing business performance at all times, analyze the data, and use this information for accurate predictions

Steady Improvements in Performance

 

The most important benefit of the contemporary IoT solutions is their ability to improve constantly by simply ‘doing their job’. The AI that governs them is usually programmed to process data collected during the manufacturing process and optimizing that process based on it.

As the system is regulated by the AI developed specifically for it, the efficiency and accuracy of these changes and advancements are greater than any settings set by man. However, making manual adjustments is possible and this will add another layer to the machine’s betterment. The intuitive operation systems of today will memorize the most effective patterns in the production process and find a multitude of ways to achieve or even improve those results. They will do this with utmost accuracy and speed. Utilizing these particular solutions can make even a small manufacturing business into a big player on its market.

Creating the Perfect Environment for Innovation

 

Manufacturing facilities reigned by IoT technology are extremely flexible. This means that the business owner is able to integrate new solutions quickly and boost the production process’ efficiency right away.

Most importantly, implementing this technology allows to step away from the traditional linear production process. This, in turn, leads to the creation of more efficient singular production cycles organized into a cohesive system that can adjust to the change in manufacturing demand immediately. Such a scheme allows for the most efficient use of resources.

This kind of ‘cluster’ manufacturing also enables the owner to monitor the entire system more easily. One can determine where an issue occurs and have other sectors pick up the slack if possible. In any case, this scheme allows making quick and more accurate fixes for any problems.

Allowing for Predictive Maintenance

 

Predictive maintenance is a very efficient method of cutting the manufacturing costs. It is exactly what the name states, a maintenance based on predictions. It’s a step up from preventative maintenance as it’s more effectively targeted.

Predictive analytics drive this solution and allow you to maximize the equipment output while minimizing the costs for its maintenance. Note that using such technology also helps you save money you would have lost due to the manufacturing process stopping.

The IoT for the manufacturing industry develops extremely fast with dozens of solutions released for any kind of business. Embracing this technology now can not only give one an edge over the competition. With the high popularity rate of this tech, not using any of these solutions is sure to marginalize the business.

Adam Flamberg is a consultant at DO Supply.

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The rise of IoT is good because it has enabled humans to gather, process and understand vast sums of data. This understanding helps us observe the nature of Human existence in real time, both collectively and individually.

Supply chain management is an integral business process. It affects people in every industry from farmers in Food Supply Chain to manufacturers in Industrial Supply Chain. We are going to observe the up and coming technologies and how they are revolutionizing this fundamental business process.

How is IoT being used in today’s World?

The Understanding of Mass Human behavior at an individual level has enabled services and technologies to exist that cater to personalized needs.It is introducing a new genre of innovation in Mobile App Development.

Companies use this data to develop applications that can efficiently increase revenue by cutting liability costs because of Big Data Analytics and IoT prompting all investments.

Take for example the efficiency with which you can use GPS trackers and environment sensors to keep track of your inventory and the storing conditions of your goods. Asset Tracking has created transparency in the supply chain, providing manufacturers with scope for business customization.

The kind of granular data that can and is being generated using RFID tags and global SIMs can create efficient staffing practices. Also, addressing the availability of complementary resources at the right place and right time.

There is Beacon technology, which is Low Energy Bluetooth devices (BLE), capable of transmitting information over short distances. Bluetooth SIG (Bluetooth Special Interest Group) is pushing this wireless personal area network as a factory floor network.

BLE is being used to create an Internet of Things solution, for instance, take IoT Development companies that created apps that help in Airport Baggage Management all by using these BLE devices or Beacons.

Another great example can be that of Amazon Go. It uses computer vision, machine learning and AI to create a shopping experience where you can just walk in, pick up what you want and walk out.

You check into the store with your mobile Phone and through a technology they have developed called “Just Walk Out” you can shop and just leave. It is one of the best examples of an Internet of Things Company, using a variety of sensors and computer vision tracking working together over a secured shared network.  

How is IoT affecting the Supply Chain Processes (SCP)?

Gartner the leading research and advisory organization, recently released a study, showing a thirty-fold increase in Internet-connected physical devices by 2020. 

International Data Corporation (IDC) reports: Largest IoT segments in 2017: manufacturing operations: $105B

Just imagine the kind of data that will be generated when we could observe the real-time shopping habits of individuals, their waiting time in each aisle, their preference. And the rate at which products and services are sought will see an unprecedented rise.

We will be able to automate a system that will conduct targeted marketing and efficient manufacturing. Research shows three-quarters of all retail and manufacturing ventures beginning to transform their supply chain processes.

IoT is enabling a more bidirectional flow of communication. Now engineers can run efficient diagnostics using the most recent captured data enabling them to conduct remote repair, increasing machine uptime and better customer service.

Unlike previously available passive sensors, this generation of sensors can keep track of the state of products in shipment, such as external surrounding and execute actions. Also, it can monitor utilization of Machine and update cloud platforms that can, in turn, optimize performance and workflow.

IoT is playing an integral role in increasing the scope of digitizing the Supply Chain in the Agro-Industry. Modern farmers are now incorporating Cloud Platforms to keep track of their farm produce and fine-tuning storage conditions.

A much more inter communicative channel is being formed between the different talking heads of the Supply Chain. And the funny thing is IoT devices are guiding how the products reach the market and talking has nothing to do with it.

Industries are trying to create the process more transparent for the consumers, certifying quality checks and an invasive feedback process.

Fleet Management for industries that comprise of companies like FedEx and DHL. Driver headcount, maintenance, and fuel consumption can all be brought down using IoT cloud Platforms. These platforms take in enormous amounts of data about diverse variables like traffic models, weather reports etc. and chart out efficient routes and delivery itineraries.

Having a connecting channel among all the components of the supply chain enables vendors to form better relations amongst themselves and with the customers. This is done by linking the shipping companies to the on-ground delivery services to the shopkeeper, all in real time.

We generate a truly end to end offering by providing vendors with domain expertise in IP connectivity, cloud service, security, hardware, and positioning.

With the help of IoT, we can accurately forecast inventories; keep track of the expiry dates of products and restocking schedules. It can also be used for cutting on Downtime with smart sensors, which are assessing maintenance requirements around the clock, propagating positive revenue generation.

Fitting the factory floors and machinery with sensors helps the system to tail workflow efficiency and logistics short-comings and respective requirements.

The Industrial Internet of Things revolution is pushing entire businesses towards an approach of local connectivity. Many businesses are adopting tools like AT&T’s Low-Power Wide-Area Technology, which has smaller modules with extended battery life and capable connectivity even in underground environments.

This has also created a demand for developers who excel in creating IoT Applications. And lately, it seems IoT technology and software framework has become essential to the 21st-century consumer market at par with Big Data Analytics and Management.

IoT compatibility is the need of the hour for businesses that want to stay ahead of the curve.One should investigate functional ways to integrate IoT technology and Applications into their Business Back-End and generate new streams of revenue.

Also, existing Businesses need to acknowledge the potential of IoT to redesign existing SCP. Building strong bridges to support the convergence of physical and digital supply chain.

In today’s market, SCP isn’t just for tracking your product. It’s an opportunity to gain an edge over your competitors and even establish your own brand.

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Counterfeiting is a major concern for brands. Companies lose billions of dollars in revenue and consumers also suffer the consequences in situations where they are unable to verify themselves or their ownership over products.

“The Organisation for Economic Co-operation and Development (OECD) estimates the annual value of international trade in all counterfeit goods at $200 billion.”

Imports of counterfeit and pirated goods are worth nearly half a trillion dollars a year or around 2.5% of global imports, with US, Italian and French brands hit the hardest and many of the proceeds going to organised crime, according to a new report by the OECD and the EU’s Intellectual Property Office.

So How Did HP Use The Concept of the Internet of Things to Combat Counterfeiting?

HP’s Tamper Evident Label and Security Label initiatives are a step towards enhancing its brand protection that customers can rely on.

Let’s take a look at how HP introduced a four-step method to easily authenticate products such as ink and toners.

  • To authenticate whether a product is a genuine HP product, customers can use their smartphones and scan the QR code placed on the HP Security Label on the packaging.
  • The QR code redirects to an online verification site checking the authentication number on the label against its online database which maintains records of the product down to the serial level.
  • If the IDs match the user is informed they have purchased a genuine HP registered product or offered a way to report a counterfeit in case the authentication fails.

 By providing its customers with easy to use, online and mobile validation processes, HP can ensure the sale of authentic products. HP is continuously working towards providing secure business solutions to its customers. HP anti-counterfeit is a great example of how brands are employing technical innovations based on the concept of ‘Internet of Products’.

“Counterfeit HP cartridges are predominantly refilled or remanufactured print cartridges packed in unauthorized or fake reproductions of HP packaging, that can’t compare to genuine HP cartridges. At HP, we are constantly striving to protect you from counterfeiters with new security measures.”

Being able to maintain a digital record of a product on an individual serial level enables HP customers to scan the physical counterpart of the product, pick the authentication code off the label and use the internet to run a check against the digital record.

This creates an authentication method which is tougher for counterfeiters to replicate.  Easing the product verification process and enabling customers to authenticate products via mobile devices, HP has successfully managed to deter fake products in the market and further strengthen its brand security/image.  

These technology-led initiatives which are capable of connecting the digital counterparts of physical products with their real-time values and status are redefining retail and product surveillance. HP has successfully built an anti-counterfeiting process based the concept of “internet of things” and as a result, other brands are also eagerly moving towards implementing internet of products led initiatives.

Such Internet of products enabled solutions are helping brands explore the possibilities that lie beyond the status-quo of usual product management.

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The Internet of Things is network connectivity between physical devices such as appliances, vehicles, etc. which contain inbuilt sensors, software, and microchips that facilitate data transfer between each other. Each device has its own unique computing processor which allows them to interoperate with other similar infrastructure via the internet. Things are always changing, we must accept the ebb and flow of things. The real question you should ask yourself is where you should concentrate your efforts in the next few years to avoid alienation. Our concerns over the past few years have changed drastically, in terms of the things we build and design and how the users interact with these devices.

The Shape of Future: The applications of the Internet of Things are extensive. The number of devices with the capability to link up with each other via the internet went up by 31% in 2017. Experts predict by 2020 the Internet of Things will have a total value of $1.7 trillion in the global market and a total of 30 billion new devices will be designed with network connectivity features.

Human intervention will reduce in the years to comes, some careers might become obsolete in a few years for example taxi and delivery packages, translators and interpreters, pilots and air traffic controllers and many more. IoT allows devices inclusive of all the computing enabled infrastructure can be remotely controlled therefore integrating the physical world with the computer system resulting in more economic benefits, efficiency, and accuracy.

How to Secure Future: To secure your Internet of Things career there are several things you could do. First, start by learning a few programming languages, most recommended JavaScript. This will not only secure your career but also gives it longevity. The language is not only used on browsers but increasingly, with Node.js, it’s a language for the servers, which is more often than not found directly embedded within devices.

Ensure you are always updated in terms of internet security. Constantly refine your security skills on how to maximize security on an ever-increasing number of connected devices. Try and run tests to ensure the security measures put in place can hold up when required.

The ability to come up with small accurate sensors e.g. sensors that can detect a change in temperature, speed, and other physical elements will be an invaluable skill in the future as far as the internet of things is concerned. Some sound knowledge of simple things such as Wi-Fi, Bluetooth, and transfer of data to the cloud will go a long way in safeguarding your career.

Don’t be daunted: Don’t stop what you are doing because humans will always need to interact with devices and machines to make them work. Rather than looking at Internet of Things as means of reducing jobs, look at it as a channel that could create even more job opportunities. Don’t be daunted, after all, you have come this far and along the way you have developed some useful skills. With a little effort, your Internet of Things career will thrive.

Read more…

 

"One day I'm in my cubicle, Steve shows up with someone I've never met before. He asks me, 'Guy, what do you think of this company Knoware?'. I said, 'Well Steve, it is a mediocre company, mediocre product, lot of drilling practises, doesn't make full use of graphics, just basic mediocrity, nothing that strategic for us.' He says to me, 'I want you to meet the CEO of Knoware.' So that's what was like working for Steve Jobs. ‘You always have to be on the ball.

A lot of water has flowed under the bridge since then. The flow of information has also changed the way we live in today’s world.

Your mark on the world begins…

Every morning when we read a newspaper having out so much information we came to know the latest happening in the world (of course in details), yeah you are right even the internet edition also. This is just a very basic example of IoT. All our Railways, Air and even sea networks are connected with the help of IoT. We can take the example of banking. It is very easy to transact any amount of money from part of the world to other with help of e-commerce. We can purchase anything online with help of debit and credit cards. This has made our lives more and more simple. People are working on the internet without really having to go outside to their workplace. IoT has changed the whole scenario. Companies can share technologies online. Even the doctors can guide the other doctors while operating on a patient with the help of Information Technology. A whole new world is coming our way. Technology is allowing us to reimagine our future transportation system. Advances in connected automation, navigation, communication, robotics, and smart cities—coupled with a surge in transportation-related data—will dramatically change how we travel and deliver goods and services. Automation in the field of transportation is everywhere. Have we as humans become an afterthought? We order service on our smartphones, we manoeuvre around in increasingly automated vehicles, we ride in driverless transport, and we will increasingly find ourselves sharing our highways and byways with drones and other unmanned craft.

1) SaaS & Bring Your Own Device

Global movements such as BYOD and SaaS, where consumerisation of IT and mobility are drastically changing the capabilities of employees and their expectations of a workspace. Building your own apps is the ideal way to mitigate the risk of BYOD and SaaS. An organisation can provide those that only allow the user to access what they need. The enter-prise’s concern is the data; the employee’s concern is the device. In the IT security world, we care about both. Now that most of the organizations started adopting BYOD in some form, it is not just their personal iPads and laptops that users are bringing into the office, they are also using the consumer apps available in their personal device for work purpose which leads to the next wave in mobility. In the very near future BYOD won’t be a ‘trend’ but a norm no one would think twice about.

2) The Emergence of Big Data

 "Big data" alluringly holds out the promise of competitive advantages to companies that can use it to unlock secrets about customers, website usage and other key elements of their business operations. Big Data now stream from daily life: from phones and credit cards and televisions and computers; from the infrastructure of cities; from sensor-equipped buildings, trains, buses, planes, bridges, and factories. It's estimated that 43 trillion gigabytes of new data will be created by the year 2020. 

3) Cloud computing: How it's transforming the role of IT

Market conditions require significant change and many organizations are using this driver as an opportunity to simplify their applications and data through rationalization and technology innovations such as Cloud Computing. Cloud is defined as any cloud service where consumers are able to access software applications over the internet. The applications are hosted in “the cloud” and can be used for a wide range of tasks for both individuals and organisations. Google, Twitter, Facebook and Flickr are all examples of SaaS, with users able to access the services via any internet enabled device. Cloud is also the fastest growing because it keeps pace with emerging and future business models than on-premise systems, the majority of which were designed for business models of the past.

The next step, moving towards virtual workspaces, can make organisations far more agile but only if those responsible for the IT (and in effect, the productivity) of the employees understand the relationship employees have with their devices and how these change throughout the day based on their personal preference – be it a smartphone for the train, a tablet device for a client meeting or a laptop for remote working at home.

4) Millions of sensitive IT services exposed to the Internet

All the more the Internet is becoming more and more important for nearly everybody as it is one of the newest and most forward-looking media and surely "the" medium of the future. These advances—in fields such as robotics, A.I., computing, synthetic biology, 3D printing, medicine, and nanomaterials—are making it possible for small teams to do what was once possible only for governments and large corporations: solve the grand challenges in education, water, food, shelter, health, and security. Technology is, today, moving faster than ever. Advances that took decades, sometime centuries, such as the development of telephones, airplanes, and the first computers, now happen in years.

The macro trends that have changed the playing field in the past 10 years have been cloud, mobility, Big Data, and social networking. An even bigger trend ahead will be the Internet of Things that will extend information technology into every aspect of our lives. IT has become more agile and responsive to the needs of the business. While cloud was considered hype just a few years ago, the cloud in its many forms, private, public, hybrid, is transforming IT into a service model. IT leaders who embraced these changes have been able to do more with less and have proven their strategic value.

According to Steve, the iPhone was originally a tablet project. Partway through the R&D process, he said, “Hmm, we can make a phone out of this.” After the launch, many people rewrote history and said that the purpose of the iPhone was to reinvent the future of telephony.

Today, technology is, moving faster than ever. The ubiquity of network connectivity and the proliferation of smart devices (such as sensors, signs, phones, tablets, lights, and drones) have created platforms upon which every enterprise can innovate. Since the past few years we have also seen countless innovations that improve our daily lives. From Internet technology to finance to genetics and beyond - we have seen technologies such as mobile, social media, smartphones, big data, predictive analytics, and cloud, among others are fundamentally different than the preceding IT-based technologies. And advances in science and technology have changed the way we communicate, our thought processes, exchange views, understand the way we relate to one another and think about what it means to be a real Innovative change maker. Perhaps one day you too can be a part of reinventing something which is new, timely, relevant and useful.

 

Best Regards,

Raj Kosaraju

 

Raj Kosaraju specializes on Cloud Computing, Data Warehousing, Business Intelligence, Supply Chain Management, Big Data & IoT.

Read more…

Two years back when my employer asked me to take over the role of an IoT project manager, my first reaction to that was “Why me”? It was quite an obvious response you get when ask a mechanical engineer to jump into the IT world and to start dealing with terminologies like data protocols, cloud, database, microservices and so on. There are then two ways to handle this kind situation: Either you quit or to take the challenge. I (luckily) went for the second option. 

The major issue which the companies, pursuing digital transformation around the globe, facing is the lack of expertise. You cannot fire 50% of your existing staff just because they cannot program or cannot describe a cloud. On the other hand, the market (still) lack some comprehensive training or courses which can help the individuals with no IT background to undergo the transition from non-IT to basic-IoT and finally to advance IoT. To sum up, it comes down to two issues: Companies want to pursue digital transformation, but they lack expertise, and the existing staff is not capable of filling this gap. 

Let’s not consider the worst case scenario (though they exist) in which firms fire thousands of their once loyal employees and outsource the development projects to IT service provides. There is another way out in which employees take the initiative in their hand and start teaching themselves IoT in an easy and at the same time productive manner. Here are my three (proven) tips in this regards to fellow non-IT colleagues. 

Tip 1: Learn something new and narrate it to your spouse: 

Try explaining to your wife what the terms cloud, gateway, data protocol, digital twin etc. means. Do this in a way that you can map it onto his or her daily routine. For instance explain your spouse the concept behind the smart home or an intelligence dishwasher which calculates the number of cycles executed, amount of water, load and so on. This dishwasher speaks a unique language which is called MQTT which allows him to talk to the internet which in turn using some analytics try to make this dishwasher intelligent. 

If you are lucky enough then your spouse has almost nothing to do with the topic of IoT. That makes the task more challenging but will have a better outcome. This since you have to break down every buzzword into a simplified form to make the explanation quite easy. The more and more in-depth you explain, better you will get with the topics of IoT. 

Tip 2: Write a blog on IoT or related topics: 

That’s one of the reasons I am here. I wrote my first blog in 2017 on RAMI 4.0 topic. The idea here was not to get people’s attention but to gain an insight on the subject. You cannot write an article on a topic before doing intense research on it. I was finding it difficult to understand the concept behind RAMI 4.0, so I decided to write on it. The best thing about these kinds of blogs is that they result in some discussion which in turn enriches your knowledge about the topic. 

Here again, I would like to the point that you are not writing to impress someone but to make yourself and other non-IT individuals understand the concept behind a particular IoT topic. Last but not the least, keep the article and the content as simple as possible as Steve House said: “The simpler you can make the things the richer the experience becomes”. 

Tip 3: Buy yourself a single board computer and start experimenting

I am not marketing raspberry pi or any other single board computer here, but these devices are small wonder box which can show you the way to a “self-developed” IoT use case. What you need is a small programmable computer or an IoT device which you can customize depending on the type of use case you want to try. I decided for pi 3 since they are lots of literature and videos available on the net explaining IoT projects with Pi. The next step is to get a demo version of a cloud service provider of your choice and visit the tutorial page. You do not have to be an IT expert to try some of the use cases mentioned there. The examples cited there are described a simplified way and is like putting LEGO blocks together. I used the Microsoft Azure platform and tutorial to program a use case which sends an alarm /e-mail notification in case of temperature higher than 25 degrees C. 

The step by step description of the use case can be found at Azure tutorial (docs.microsoft). If you follow these carefully then your solution would look something like this:

                                                              Dashboard Azure IoT

 

                                                Code running on Raspberry Pi 3

 

Here for instance, if the temperature is above 25 degrees C, the signal is set to “true” and is transferred to your IoT hub within Azure using service bus. There the logic –App takes this information, process it and trigger the notification (G-mail-send email 2 function) to my Gmail.

                                                                                     Logic App

 

                                                                         Trigger view in Logic App

 

The screenshot below shows the number of incoming requests (from Pi to IoT Hub) as well as the outgoing messages at one particular run.

 

                                                                        Incoming requests vs outgoing messages

 

                                                                                Email-notification

I did not program even a single line here. So what’s holding you back? Start writing a blog or grab yourself an IoT device and start experimenting.

 

 

 

Read more…

 

"One day I'm in my cubicle, Steve shows up with someone I've never met before. He asks me, 'Guy, what do you think of this company Knoware?'. I said, 'Well Steve, it is a mediocre company, mediocre product, lot of drilling practises, doesn't make full use of graphics, just basic mediocrity, nothing that strategic for us.' He says to me, 'I want you to meet the CEO of Knoware.' So that's what was like working for Steve Jobs. ‘You always have to be on the ball.

A lot of water has flowed under the bridge since then. The flow of information has also changed the way we live in today’s world.

 Your mark on the world begins…

Every morning when we read a newspaper having out so much information we came to know the latest happening in the world (of course in details), yeah you are right even the internet edition also. This is just a very basic example of IoT. All our Railways, Air and even sea networks are connected with the help of IoT. We can take the example of banking. It is very easy to transact any amount of money from part of the world to other with help of e-commerce. We can purchase anything online with help of debit and credit cards. This has made our lives more and more simple. People are working on the internet without really having to go outside to their workplace. IoT has changed the whole scenario. Companies can share technologies online. Even the doctors can guide the other doctors while operating on a patient with the help of Information Technology. A whole new world is coming our way. Technology is allowing us to reimagine our future transportation system. Advances in connected automation, navigation, communication, robotics, and smart cities—coupled with a surge in transportation-related data—will dramatically change how we travel and deliver goods and services. Automation in the field of transportation is everywhere. Have we as humans become an afterthought? We order service on our smartphones, we manoeuvre around in increasingly automated vehicles, we ride in driverless transport, and we will increasingly find ourselves sharing our highways and byways with drones and other unmanned craft.

1) SaaS & Bring Your Own Device

Global movements such as BYOD and SaaS, where consumerisation of IT and mobility are drastically changing the capabilities of employees and their expectations of a workspace. Building your own apps is the ideal way to mitigate the risk of BYOD and SaaS. An organisation can provide those that only allow the user to access what they need. The enter-prise’s concern is the data; the employee’s concern is the device. In the IT security world, we care about both. Now that most of the organizations started adopting BYOD in some form, it is not just their personal iPads and laptops that users are bringing into the office, they are also using the consumer apps available in their personal device for work purpose which leads to the next wave in mobility. In the very near future BYOD won’t be a ‘trend’ but a norm no one would think twice about.

2) The Emergence of Big Data

"Big data" alluringly holds out the promise of competitive advantages to companies that can use it to unlock secrets about customers, website usage and other key elements of their business operations. Big Data now stream from daily life: from phones and credit cards and televisions and computers; from the infrastructure of cities; from sensor-equipped buildings, trains, buses, planes, bridges, and factories. It's estimated that 43 trillion gigabytes of new data will be created by the year 2020.

3) Cloud computing: How it's transforming the role of IT

Market conditions require significant change and many organizations are using this driver as an opportunity to simplify their applications and data through rationalization and technology innovations such as Cloud Computing. Cloud is defined as any cloud service where consumers are able to access software applications over the internet. The applications are hosted in “the cloud” and can be used for a wide range of tasks for both individuals and organisations. Google, Twitter, Facebook and Flickr are all examples of SaaS, with users able to access the services via any internet enabled device. Cloud is also the fastest growing because it keeps pace with emerging and future business models than on-premise systems, the majority of which were designed for business models of the past.
The next step, moving towards virtual workspaces, can make organisations far more agile but only if those responsible for the IT (and in effect, the productivity) of the employees understand the relationship employees have with their devices and how these change throughout the day based on their personal preference – be it a smartphone for the train, a tablet device for a client meeting or a laptop for remote working at home.

4) Millions of sensitive IT services exposed to the Internet

All the more the Internet is becoming more and more important for nearly everybody as it is one of the newest and most forward-looking media and surely "the" medium of the future. These advances—in fields such as robotics, A.I., computing, synthetic biology, 3D printing, medicine, and nanomaterials—are making it possible for small teams to do what was once possible only for governments and large corporations: solve the grand challenges in education, water, food, shelter, health, and security. Technology is, today, moving faster than ever. Advances that took decades, sometime centuries, such as the development of telephones, airplanes, and the first computers, now happen in years. 


The macro trends that have changed the playing field in the past 10 years have been cloud, mobility, Big Data, and social networking. An even bigger trend ahead will be the Internet of Things that will extend information technology into every aspect of our lives. IT has become more agile and responsive to the needs of the business. While cloud was considered hype just a few years ago, the cloud in its many forms, private, public, hybrid, is transforming IT into a service model. IT leaders who embraced these changes have been able to do more with less and have proven their strategic value.


According to Steve, the iPhone was originally a tablet project. Partway through the R&D process, he said, “Hmm, we can make a phone out of this.” After the launch, many people rewrote history and said that the purpose of the iPhone was to reinvent the future of telephony. 


Today, technology is, moving faster than ever. The ubiquity of network connectivity and the proliferation of smart devices (such as sensors, signs, phones, tablets, lights, and drones) have created platforms upon which every enterprise can innovate. Since the past few years we have also seen countless innovations that improve our daily lives. From Internet technology to finance to genetics and beyond - we have seen technologies such as mobile, social media, smartphones, big data, predictive analytics, and cloud, among others are fundamentally different than the preceding IT-based technologies. And advances in science and technology have changed the way we communicate, our thought processes, exchange views, understand the way we relate to one another and think about what it means to be a real Innovative change maker. Perhaps one day you too can be a part of reinventing something which is new, timely, relevant and useful.

Best Regards,

Raj Kosaraju

 

Raj Kosaraju specializes on Cloud Computing, Data Warehousing, Business Intelligence, Supply Chain Management, Big Data & IoT.

 
 
Read more…

What are going to be new things in IoT 2018?

The Internet of Things (IoT) wasted no time spreading across the world and connecting a huge number of individuals. Apart from, we have seen almost every major industry put lots of resources into IoT, and foremost industries are rapidly moving to implement IoT solutions that drive the primary concern. Despite the huge gains in connectivity, the truth is, 2018 will be more of a steady growth period for the IoT. Using IoT, successful organizations will create a self-learning environment. 

These five innovations will be the top IoT trends in 2018 and could be an essence of the world yet to come.

IoT future shaped by wearables

While 1 out of every 3 smartphone users trusts they will have at least 5 wearables by 2020. So, high demand towards wearable devices such as smartwatch, health & fitness band etc. In this manner, a setback in wearable adoption may delay the overall adoption of the IoT among consumers.

Roll out voice-based services to consumers

Google Assistant, Google Virtual Assistant that lives on devices like smart speakers and gaining enormous fame. An ever-increasing number of devices will open marketers’ eyes to better approaches for interacting with customers. Industries like financial and some other businesses that request authentication for much else, besides a simple task, will slack. The complexity, broadness and quality of voice-based services will grow in 2018 with accessible services.

Security: Blockchain

Security is still the weak link in the internet of things, so security remains a prime challenge for IoT. Blockchain will play a vital role in improving security for financial transactions in 2018. Watson IoT Blockchain enables devices to participate in Blockchain transactions as a trusted party. IoT and Blockchain empower more transactions overall because they eliminate centralization.

Big Data, Machine learning and AI

The amount of processed data will grow, and due to more number of smart devices, we will use IoT much more than we do now. So, we should work with Big Data in order to consider assets that would empower us to process and analyse problems accurately. Here, Machine Learning is the most demonstrated AI innovation that can process data based on predictive analytics, without the need of manual programming and activate real-time tasks in the IoT channel.

Connected devices will double

In 2018, Internet of Things will have considerably more interconnected devices, like a digital nervous system with interfacing devices together and be exchanging data. It is not only laptops and mobile phones also there will be more smart devices that we use daily, like smart doors, smart jar, smart locks, smart fork and more. The number of connected devices grew exponentially from 4.9 million in 2015 to 6.1 billion in 2016. It is expected to 46 billion by 2021. 

 

Read more…

 

From smart devices and home automation systems to smart cars and smart buildings, the Internet of Things brings important innovations in our life. In the next years, IoT solutions will continue to take the center stage in the tech environment.

With huge investment in this technology, the global IoT spending is expected to reach $1.29 trillion by 2020 and $1.4 trillion by 2021 (IDC report).

For now, manufacturing industry is still the main investor in the Internet of Things. According to recent surveys, 66% of manufacturers say that the use of IoT solutions is essential for staying competitive and resolving various issues.


 

Smart factories

 

Capgemini research reported that smart factories are going to add $500 billion to $1.5 trillion in value added to the global economy in 5 years. By now, 56% of manufacturing companies have already invested $100M in smart factory initiatives.

Today the creation of smart factories with the Internet of Things is gaining momentum and so far, only 6% of manufacturers can be designated to “Digital Masters”, an advanced stage in digitizing various production operations with a strong foundation of smart management, process automation, and employee skills.

Analysts expect smart factories to revolutionize the industry by providing a 7X increase in overall productivity by 2022. Among the most interesting findings, Capgemini reports smart factories will be able to speed up on-time delivery of finished products by 13 times, with the enhancement of quality indicators at more than 12 times the rate of improvement since 1990.

Also, Capital Expense & inventory costs will be rationalized 12 times and material, logistics and transportation costs are predicted to be optimized at 11 times the rate of improvement since 1990.

On the graphic below you can see a comparison of manufacturer’s annual gains since 1990 versus expected annual gains referred to smart factory technologies in the next 5 years.

 

Besides the Internet of Things, contributing technologies to smart factories also involve Big Data Analytics, machine learning, advanced robotics, and 3D printing, while cloud computing platforms unify all of these technologies together, leading to more rapid smart factory adaptation and bringing revolution in the industry.

 

IoT use cases in manufacturing

 

With smart connections of multiple devices, equipment, and production processes, manufacturers get such benefits as minimized human intervention, remote machinery maintenance, employee safety, production automation, and reduced operational costs.

 

The main IoT applications include:

 

  • Production flow monitoring - leads to flow optimization, minimize waste, and reduced labor and operational costs.
  • Remote equipment monitoring & management - Results in saved energy and reduced costs. Predictive analytics allows repairs and replacements to be automatically ordered even before something breaks.
  • Condition-based maintenance notifications - enables to successfully maintain machinery health and increase throughput.
  • Supply chain management

    with the help of vehicle and asset tracking, you improve the efficiency of manufacturing and supply chain operations.

     

     

 

There is a plenty of other successful IoT use cases in manufacturing: equipment predictive maintenance, vehicle and asset tracking, temperature/energy conservation/air quality control, facility management, smart ventilation, production flow monitoring, and smart radiation monitoring and measurement.

By integrating a smart factory initiative, you can connect all production stages, accelerate production, enhance various management processes, ensure working safety, reduce operational costs, and improve the entire company performance.

Read more…
Consumers today are knowledge seekers who want to know exactly where their food comes from. Brands are going the distance to provide consumers with such traceable and transparent information. Let's look at how one such Italian brand uses the #internetofproducts to take customers on a #digital journey. #IOP #InternetofThings #ConsumerTransparency #SafetyforFood #Technology #Retail #Qliktag
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Cloud computing allows companies to store and manage data over cloud platforms, providing scalability in the delivery of applications and software as a service. Cloud computing also allows data transfer and storage through the internet or with a direct link that enables uninterrupted data transfer between devices, applications, and cloud.

Role of Cloud Computing in IoT:

We know that the Internet of Things (sensors, machines, and devices) generate a huge amount of data per second. Cloud computing helps in the storage and analysis of this data so that enterprise can get the maximum benefit of an IoT infrastructure. IoT solution should connect and allow communication between things, people, and process, and cloud computing plays a very important role in this collaboration to create a high visibility. 

IoT is just not restricted to functions of systems connectivity, data gathering, storage, and analytics alone. It helps in modernizing the operations by connecting the legacy and smart devices, machines to the internet, and reducing the barriers between IT and OT teams with a unified view of the systems and data. With cloud computing, organizations do not have to deploy extensive hardware, configure and manage networks & infrastructure in IoT deployments. Cloud computing also enables enterprises to scale up the infrastructure, depending on their needs, without setting up an additional hardware and infrastructure. This not only helps speed up the development process, but can also cut down on development costs. Enterprises won’t have to spend money to purchase and provision servers and other infrastructure since they only pay for the consumed resources. 

(Case Study: DevOps for AWS, Continuous Testing and Monitoring for an IoT Smart City Solution)

How Cloud Services Benefit an IoT Ecosystem:

There are several cloud services and platforms that play different roles in the IoT ecosystem. Some of the platforms also come with inbuilt capabilities like machine learning, business intelligence tools, and SQL query engines to perform complex analytics. Let us understand how these cloud services and platforms benefit an IoT ecosystem.

Cloud Platform for Device Lifecycle Management:

Enterprises create applications and software through cloud services (SaaS), which can connect devices and enable device registration, on-boarding, remote device updates, and remote device diagnosis in minimal time with a reduction in the operational and support costs. Cloud introduces DevOps within the IoT ecosystem, which helps organizations automate many processes remotely. As more and more devices get connected, the challenges with data security, control, and management become critical. Cloud services enable IoT remote device lifecycle management that plays a key role in enabling a 360-degree data view of the device infrastructure. Certain cloud providers offer multiple IoT device lifecycle tools that can ease the update and setup of firmware and software over the air (FOTA).

Application Enablement Cloud Platform:

Cloud enables application development with portability and interoperability, across the network of different cloud setups. In other words, these are the intercloud benefits that businesses can take advantage of. Intercloud solutions possess SDKs (Software development Kits) on which enterprises can create their application and software without worrying about the backend processes.

Enterprises can run and update applications remotely, for example, Cisco is providing the application enablement platform for application hosting, update, and deployment through the cloud. Enterprises can move their applications between cloud and fog nodes to host the applications and analyze & monitor the data near the critical systems.

Many cloud service providers are focusing on building the cloud environment on the basis of OCF standards so that it can interoperate smoothly with the majority of applications, appliances, and platforms, that will allow D-to-D (device-to-device) M-to-M (machine-to-machine) communicationOpen Connectivity Foundation (OCF) standardization makes sure that the devices can securely connect and communicate in any cloud environment, which brings in the interoperability to the connected world.

Digital Twins:

Device shadowing or digital twins is another benefit that an enterprise can avail through cloud services. Developers can create a backup of the running applications and devices in the cloud to make the whole IoT system highly available for faults and failure events. Moreover, they can access these applications and device statistics when the system is offline. Organizations can also easily set up the virtual servers, launch a database, and create applications and software to help run their IoT solution.

Types of Cloud Computing Models for IoT Solutions

There are three types of cloud computing models for different types of connected environment that are being commonly offered by cloud service providers. Let’s have a look:

Cloud Computing Models

 

Infrastructure as a Service
  • It offers virtual servers and storage to the enterprises. Basically, it enables the access to the networking components like computers, data storage, network connections, load balancers, and bandwidth.
  • Increasing critical data within the organization lead to the security vulnerabilities and IaaS can help in distributing the critical data at different locations virtually (or can be physical) for improving the security.
Platform as a Service
  • It allows companies to create software and applications from the tools and libraries provided by the cloud service providers.
  • It removes the basic needs of managing hardware and operating systems and allows enterprises to focus more on the deployment and management of the software or applications.
  • It reduces the worry of maintaining the operating system, capacity planning, and any other heavy loads required for running an application.
Software as a Service
  • It provides a complete software or application that is run and maintained only by the cloud service provider.
  • Users just have to worry about the use of the product, they don’t have to bother about the underlying process of development and maintenance. Best examples of SaaS applications are social media platforms and email services.

 

Apart from these, cloud service providers are now offering IoT as a Service (IoTaaS) that has been reducing the hardware and software development efforts in IoT deployment.

Example of implementing cloud computing set-up in a connected-factory:

There are different sensors installed at various locations of an industrial plant, which are continuously gathering the data from machines and devices. This data is important to be analyzed in real time with proper analytics tools so that the faults and failures can be resolved in minimal time, which is the core purpose of an industrial IoT ecosystem. Cloud computing helps by storing all the data from thousands of sensors (IoT) and applying the needed rule engines and analytics algorithms to provide the expected outcomes of those data points.

Now, the query is which cloud computing model is good for industrial plants? The answer cannot be specific, as every cloud computing model has its own applications according to the computing requirement.

Leading Cloud Services for IoT Deployments

Many enterprises prefer to have their own cloud platform, within the premises, for security and faster data access, but this might not be a cost-effective way as there are many cloud service providers who are providing the cloud services on demands, and enterprises just have to pay for the services which they use.

At present, Amazon Web Services (AWS) and Microsoft Azure are the leading cloud service providers. Let’s see the type of cloud platforms and services AWS and Microsoft Azure provide for IoT implementations

AWS IoT Services

AWS has come up with specific IoT services such as AWS Greengrass, AWS lambda, AWS Kinesis, AWS IoT Core, and a few other cloud computing services, which can help in IoT developments.

AWS IoT Core is a managed cloud platform that allows devices to connect easily and securely with cloud and other devices. It can connect to billions of devices, store their data, and transmit messages to edge devices, securely.

AWS Greengrass is the best example of an edge analytics setup. It enables local compute, messaging, data caching, sync, and ML inference capabilities for connected devices in a secure way. Greengrass ensures quick response of IoT devices during local events, which reduces the cost of transmitting IoT data to the cloud.

AWS Kinesis enables data streaming that can continuously capture the data in terabytes per hour.

AWS Lambda is a compute service that lets you run code without provisioning or managing servers. It executes code only when required and scales automatically from a few requests per day to thousands per second.

AWS DynamoDB is a fast, reliable, and flexible NoSQL database service that allows enterprises to have millisecond latency in data processing, enabling quick response from applications. It can scale up automatically due to its throughput capacity, which makes it perfect for gaming, mobile, ad tech, IoT, and many other applications.

AWS Shield is a managed Distributed Denial of Service (DDoS) protection service that safeguards applications running on AWS. It provides automatic inline mitigation and always-on detection that minimize the application downtime and latency. This is why there is no need to engage AWS Support to benefit from DDoS protection. There are two tiers of AWS Shield — Standard and Advanced.

Microsoft Azure IoT Services:

Microsoft has come up with many initiatives in the field of IoT, providing industrial automation solutions, predictive maintenance, and remote device monitoring, etc. It is also providing services like Azure service bus, IoT hub, blob storage, stream analytics, and many more.

Azure Stream Analytics provides real-time analytics on the data generated from the IoT devices with the help of the Azure IoT Hub and Azure IoT Suite. Azure stream analytics is a part of the Azure IoT Edge that allows developers to analyze the data in real-time and closer to devices, to unleash the full value of the device generated data.

Azure IoT Hub establishes bidirectional communication between billions of IoT devices and cloud. It analyzes the device-to-cloud data to understand the state of the device and takes actions accordingly. In cloud-to-device messages, it reliably sends commands and notifications to connected devices and tracks message delivery with acknowledgment receipts. It authenticates devices with individual identities and credentials that help in maintaining the integrity of the system.

Azure Service Bus is a great example of cloud messaging as a service (MaaS). It enables on-premises communication between devices and cloud in the offline conditions also. It establishes a reliable and secure connection to the cloud, and ability to see and monitor activities. Apart from this, it protects applications from temporary spikes of traffic and distributes messages to multiple independent back-end-systems.

Azure Security Centre is a unified security management and threat protection service. It monitors security across on-premises and cloud workload, blocks malicious activities, advanced analytics system to detect threats and attacks, and also can fix vulnerabilities before any damages.

AWS and Microsoft Azure are providing a robust IoT solution to enterprises. An IoT Gateway can collaborate with multiple cloud service providers to maximize the advantages of the cloud solutions for IoT systems.

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The White Knight of IoT Platforms

In spite the Internet of Things term was coined by Kevin Ashton executive director of the Auto-ID Center as the title of a presentation he made at Procter & Gamble (P&G) in 1999, it was only when companies like Pachube (an early leader in the burgeoning “Internet of things” field) launched a web service  that enabled to store, share & discover real time sensor, energy and environment data from objects & devices around the world, when most of us believed that the time to IoT was finally had arrived.

 

Since its founding in 2008, Pachube pretended to be the leading open development platform for the Internet of Things.  In 2011 when the company was acquired by Woburn, Massachusetts-based LogMeIn in a deal that was worth "approximately $15 million in cash that re-branded the service as Cosm, but it was still a “beta” test version, to finally launch Xively that become a division of LogMeIn.  LogMeIn did not want or did not know how to incorporate the potential of Xively into its business. And in 2017 again Xively lost its charm.

Google the White Knight of Xively

On February 15, we wake up with the new that Google will acquire IoT platform Xively from LogMeIn for $50 million, according to Bloomberg, to expand in market for connected devices. Google has been the White Knight of Xively.

 

Another White Knights

In December 30, 2013 - PTC announced it had acquired ThingWorx, a PTC Technology for approximately $112 million, plus a possible earn-out of up to $18 million. The acquisition of ThingWorx positioned PTC as a major player in the emerging Internet of Things era. Later, in July 2014 PTC acquired Axeda Corporation for approximately $170 million in cash which Gartner estimated is an acquisition multiple of just over 6 times revenue.

In February 2016, Cisco Acquired Jasper Technologies for $1.4 Billion in cash. How wonderful White Knight.

A software goliath company like SAP acquires a small IoT startup like PLAT.ONE  now part of SAP?

In 2016, Microsoft did not disclose the sum for Italian start-up Solair acquisition. Th startup  expanded Azure capabilities.

In March 2015, Amazon was taking another step into the Internet of Things acquiring 2lemetry, a startup with a system for sending, receiving, and analyzing data from Internet-connected devices.  2lemetry had raised at least $9 million. Investors included Salesforce Ventures.   

 

We all know that the IoT Platform market need a quick consolidation

The M2M/IOT Platform market has changed in the last 10 years. The fragmentation is unsustainable and I can say that I do not see a clear IoT platform market leader yet that works as a plug-and-play fix for all kind of connected-device creators. Besides, the rush of investors for IoT platform companies trigger rumors of new acquisitions increasing significantly their actual valuation and encourages thousands of entrepreneurs and startups to create new IoT platform copies of each other. Although there is still room for new innovative IoT platform startups, the decision to trust in a company able to simplify the complexities of the IoT, with a scalable and robust infrastructure and drive real results for your business, will reduce the choice among a short list. The bad news is that the hundreds of IoT platforms startups must compete now with the platforms offered by Tech and Industrial Giant vendors.

 

Given the confusion that exists about the IoT platforms, companies need to approach experts’ advisors that will recommend which platform(s) is most suitable for your current and future business and technical requirements.

 

There will not be White Knights for everyone

In “Be careful of the Walking Dead of IoT, I alerted that in spite that no one has the crystal ball, it is almost sure that many IoT platforms are not going to continue within 10 years, not even within 1, 2 or 3 years in this inflated market. As show in the picture below, some Tech Giants have been looking and found some of the best pieces. What will happen to the 700+ platforms out there? There will not be White Knights for everyone. At least for Xively it has been a happy end.

Thanks in advance for your Likes and Shares

Thoughts ? Comments ?   

 

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The IoT is already shaping modern society in various ways. While many of these are positive aspects that result in streamlined communications, easier access to information and a greater quality of life, there are some major roadblocks in the push toward widespread IoT implementation.

One of the primary concerns revolves around the security of IoT-connected devices. A demonstration by Avast at the Mobile World Congress (MWC) in Barcelona recently uncovered a flaw in current-gen IoT infrastructure. Not only can they potentially gain control over tens of thousands of different devices, but they can also use the assembled processing power to mine $1,000 of cryptocurrency in a matter of days.

Identifying the Easiest Targets

Although Avast's demonstration didn't involve a full-scale replication, it underscores serious security flaws in the nature of current-gen IoT devices. If a widespread attack did occur, hackers would likely focus on the weakest targets.

Unsecured home networks are ideal for this sort of hack. As the average homeowner continues adding new smart-devices to the home, the hacker's job becomes even easier.

The task of hacking into thousands of unsecured home networks and taking over 15,000 or more devices might be insurmountable for a lone hacker, but a team of experts could readily pull it off and begin mining cryptocurrency without the owners' knowledge.

Some hackers might target small businesses or even larger corporations. As these networks easily contain the necessary number of IoT-connected devices, an individual could quickly gain control over thousands of different systems.

Mining, in this context, is a process of verifying transactions across a cryptocurrency-backed network. Cryptocurrency miners use various tools — including hardware and software utilities — to solve sophisticated mathematical algorithms and, as a result, generate digital monies that are tradable for real-world goods or cash.

Since coins are often used for nefarious or downright illegal activities, hackers try to use the accounts of unsuspecting victims whenever possible to maintain anonymity and cover their tracks.

Many popular coins, like Bitcoin, require advanced hardware that’s available in current-gen smart-devices. But other cryptocurrencies, like Monero, are made to harness the power of many individual machines simultaneously.

Similar Incidents in the News

A flaw like this isn't the first time that IoT-connected devices have been proven vulnerable to hacking. As reported by IBM X Force, a revised version of the Mirai botnet is programmed to take over a device and mine cryptocurrency via Linux.

Mirai is disheartening to security experts. It was the botnet responsible for a 2016 DDoS attack that caused massive service outages on sites like Netflix, Reddit, GitHub, Twitter and more.

According to a statement released by IBM X Force, the botnet gains entry into a system via the BusyBox program on Linux-based machines. Considering that Linux runs some of the largest and most popular websites, operating systems and software packages, the potential for exploitation is very serious.

Fighting Back

Fortunately, you can take some steps to secure your network from outside threats — including the latest botnet hacks. Always make sure your devices are on a secure network and protected behind a strong password.

Update your hardware with the latest updates as soon as they're available from the manufacturer, and use software protection — like antivirus and anti-malware utilities — on smartphones, tablets, laptops and desktop computers.

To make the job even harder for would-be hackers, avoid connecting to public Wi-Fi whenever possible. Never keep your personal devices on the same network as your primary desktop or laptop, as this makes it easier for cyber-criminals to jump from one system to another.

Finally, make sure to change the default login credentials on any new device you add to the network. Many come with generic information that is easily exploited.

How the MWC Is Protecting Our Networks

The Mobile World Congress — dubbed the "world's largest gathering for the mobile industry" — is organized by the GSM Association. Sometimes known as the Global System for Mobile Communications or simply "the GSMA," the organization began hosting events in 1987. It remains the largest conference in the mobile industry, and it continues to highlight new security flaws and solutions — including problems with IoT connectivity — to this day.

Stay up to date with the trends of these devices and activity surrounding them, and you’ll have a better shot at fighting back against hackers.

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Technologists and analysts are on a path to discovery, obtaining answers on how technology and the data collected can make our cities more efficient and cost effective. 

While IoT may be seen as another buzzword at the moment, companies like SAP, Cloud Sigma, Net Atlantic and Amazon Web Services are working to make sure that for businesses, IoT is a reality. It’s companies with this willingness to change, adopt and invent that will win the new economy. Mobile phones, online shopping, social networks, electronic communication, GPS and instrumented machinery all produce torrents of data as a by-product of their ordinary operations. Most companies want their platform to be the foundation of everything it does, whether it is with big data, data analytics, IoT or app development. The same  rub off phenomenon was emulated in Latin American countries  like Brazil, Argentina, Mexico and European countries like Brussels, Italy,  Germany, Denmark , Poland and Prague in recent times.

It is important to realize that technology is exploding before our very eyes, generating unprecedented opportunities. With easy access to cheap cloud services, smarter people came up with these platforms, and it has fundamentally changed businesses and created new ways of working. Mobile cannot be an afterthought. It needs to be integrated in everything you do and positioned at the forefront of your strategy. You have no valid reason to avoid migrating to the cloud. Cloud provides a ubiquitous, on-demand, broad network with elastic resource pooling. It’s a self-configurable, cost-effective computing and measured service. On the application side, cloud computing helps in adopting new capabilities, meeting the costs to deploy, employing viable software, and maintaining and training people on enterprise software. If enterprises want to keep pace, they need to emulate the architectures, processes and practices of these exemplary cloud providers.

One of the main factors of contributing value additions is the concept of a Smart City which is described as one that uses digital technologies or information and communication technologies to enhance the quality and performance of urban services, to reduce costs and resource consumption and to engage more effectively and actively with its citizens. We will interact and get information from these smart systems using our smartphones, watches and other wearables, and crucially, the machines will also speak to each other.The idea is to embed the advances in technology and data collection which are making the Internet of Things (IoT) a reality into the infrastructures of the environments where we live. We will interact and get information from these smart systems using our smartphones, watches and other wearables, and crucially, the machines will also speak to each other. Technologists and analysts are on a path to discovery, obtaining answers on how technology and the data collected can make our cities more efficient and cost effective. The current model adopted for IoT is to attract businesses to develop software and hardware applications in this domain. The model also encourages businesses to put their creativity to use for the greater good, making cities safer, smarter and more sustainable.

A few years ago like many others  I predicted  that Business models will be shaped by analytics, data and the cloud. Moreover, the IoT is deeply tied in with data, analytics and cloud to enable them and to improve solutions. The key goal is to ensure there is value to both customers and businesses. You can effectively put this strategy into action and build a modern data ecosystem that will transform your data into actionable insights.  

Till we meet next time...

Best,

Raj Kosaraju

CIO 

 

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