Subscribe to our Newsletter | To Post On IoT Central, Click here


Featured Posts (527)

In 2016, the Industrial Internet Consortium gained agreement upon an understanding of the term “trustworthiness” and its effect on design and operation of an industrial system. At the core of that understanding was a definition of trustworthiness and the designation of five characteristics that define trustworthiness.

As defined by the IIC in its recently released Industrial Internet of Things Vocabulary v2.1 document: “Trustworthiness is the degree of confidence one has that the system performs as expected. Characteristics include safety, security, privacy, reliability and resilience in the face of environmental disturbances, human errors, system faults and attacks.”

Let’s take a deeper look at the 5 foundational characteristics at the core of trustworthiness:

  • Safety ensures that a system operates without causing unacceptable risk of physical injury or damage to the health of people. This protection of humans is focused either directly or indirectly, as the result of damage to property or to the environment.
  • Security protects a system from unintended or unauthorized access, change or destruction while Information Technology (IT) security ensures availability, integrity and confidentiality (AIC model) of data at rest, in motion or in use.
  • Reliability describes the ability of a system or component to perform its required functions under stated conditions for a specified period of time.
  • Resilience describes the ability of a system or component to prevent or at least reduce any serious impact of a disruption while maintaining an acceptable level of service.
  • Privacy protects the right of individuals to control or influence what information related to them may be collected and stored and by whom and to whom that information may be disclosed.

Achieving trustworthiness in industrial IoT systems requires recognition that a complex IoT system is comprised of subsystems and the integral components of the subsystems. The trustworthiness of the overall system depends upon the trustworthiness of each of the subsystems and each of the components, how they are integrated, and how they interact with each other. Trustworthiness must be pervasive in IoT systems, which means there must be trustworthiness by design and a means to achieve assurance that the trustworthiness aspects have been addressed properly. Permeation of trust is the flow of trust within a system from its overall usage down to its smallest components and requires trustworthiness of all aspects of the system. Trustworthiness requires ongoing effort over time as systems and circumstances change.

As such, the IIC Trustworthiness Task Group, in close cooperation with the IIC Security Working Group, is tasked to frequently enhance and redefine the definition and role of trustworthiness in industrial systems as the IIoT continues to evolve. Ultimately, their goal is to moves system designers from traditional safety thought processes into a new paradigm for system design that takes into consideration all 5 of the trustworthiness characteristics and their interactions within the system.  

You can read more about trustworthiness and its relationship with industrial systems and the convergence of IT/OT in the Fall 2018 issue of ICC’s Journal of Innovation.

By Marcellus Buchheit, Co-founder of Wibu-Systems AG and President and CEO of Wibu-Systems USA

This blog originally appeared as a Wibu-Systems Blog

Read more…

Implementing Smart City leveraging IoT and connected technology helps promote economic development, improve infrastructure and environment, enhance transportation systems and optimize costs of managing public assets.

To cope with increasing population, hyper-urbanization, globalization as well as to ensure economic and environmental stability, cities are now focusing on becoming smart cities. The smart city is a concept of utilizing technologies and connected data sensors to enhance and become powerful in terms of infrastructure and city operations. This includes monitoring and managing of public assets, transportation systems, citizens, power plants, water supplies, information systems, civil bodies, and other community services.

Connected technologies and IoT solutions for smart cities play important roles in transforming cities into smart cities. Implementing smart city with IoT and connected technology helps enhance the quality, performance, and interactivity of urban services, optimize resources and reduce costs.

Let’s see the various components of smart city and their impact in the IoT era:

  1. Smart Infrastructure

The global market for smart urban infrastructure in smart cities, include advanced connected streets, smart parking, smart lighting, and other transportation innovations. Here’s how they work:

  • Smart Lighting: With smart lighting, city authorities can keep real-time tracking of lighting to ensure optimized illumination and deliver demand-based lighting in different zones. Smart lighting also helps in daylight harvesting and save energy by dimming out sectors with no occupancies For e.g. parking lots can be dimmed during work hours and when a car is entering, it will be detected and appropriate sectors can be illuminated, while others can be kept at diffused setting.
  • Connected Streets: Connected and smart streets are capable of acquiring data and delivering information and services to and from millions of devices, which includes information about traffic, road blockages, roadworks, etc. This helps in efficient management of resources and people to enhance public transportation and the urban landscape.
  • Smart Parking Management: Smart parking management system can be used to find the vacant location for a vehicle at different public places. Smart Parking’s In-Ground Vehicle Detection Sensors are core technologies, playing a key part in the Smart Parking solution that is revolutionizing how drivers in the malls and city centers can find an available parking space. Wireless sensors are embedded into parking spaces, transmitting data on the timing and duration of the space used via local signal processors into a central parking management application. Smart Parking reduces congestion, decreases vehicle emissions, lowers enforcement costs and cuts driver stress. For effective deployment of smart parking technologies, each device needs to have a reliable connectivity with the cloud servers.
  • Connected Charging Stations: Smart infrastructure also includes implementing charging stations in parking systems, city fleets, shopping malls and buildings, airports, and bus stations across the city. Electronic vehicle (EV) charging platforms can be integrated with IoT to streamline the operations of EV charging and addresses the impact of the power grid.
  1. Smart Buildings & Properties

Smart buildings utilize different systems to ensure safety and security of buildings, maintenance of assets and overall health of the surrounding.

  • Safety & Security Systems: These include implementing remote monitoring, biometrics, IP surveillance cameras, and wireless alarms to reduce unauthorized access to buildings and chances of thefts. It also includes utilizing Perimeter Access Control to stop access to restricted areas of the property and detect people in non-authorized areas.
  • Smart Garden & Sprinkler System: Smart sprinkler system synced with connected technologies and cloud can be used to water plants with the assurance that plants get the right amount of water. Smart garden devices can also perform tasks such as measuring soil moisture and levels of fertilizer, helping the city authorities to save on water bill (smart sprinkler devices use weather reports and automatically adjust their schedule to stay off when it rains), and keep the grass from overgrowing in the convenient way (robot lawnmowers).
  • Smart Heating & Ventilation: Smart heating and ventilation systems monitor various parameters such as temperature, pressure, vibration, humidity of the buildings and properties such as movie theatres, and historical monuments. Wireless sensor network deployment is the key to ensuring appropriate heating and ventilation. These sensors also collect data to optimize the HVAC systems, improving their efficiency and performance in the buildings.
  1. Smart Industrial Environment

Industrial environments present unique opportunities for developing applications associated with the Internet of things and connected technologies which can be utilized in the following areas:

  • Forest Fire Detection: Helps in monitoring of combustion gases and preemptive fire conditions to define alert zones.
  • Air/Noise Pollution: Helps in controlling of CO2 emissions of factories, pollution emitted by cars and toxic gases generated on farms.
  • Snow Level Monitoring: Helps in identifying the real-time condition of ski tracks, allowing security corporations for avalanche prevention.
  • Landslide and Avalanche Avoidance: Helps in monitoring of soil moisture, earth density, as well as vibrations to identify dangerous patterns in land conditions.
  • Earthquake Early Detection: Helps in detecting the chances of tremors by utilizing distributed controls at specific places of tremors.
  • Liquid Presence: Helps in detecting the presence of liquid in data centers, building grounds, and warehouses to prevent breakdowns and corrosion
  • Radiation Levels: Helps in distributed measurement of radiation levels in nuclear power stations surroundings to generate leakage alerts
  • Explosive and Hazardous Gases: Helps in detecting gas levels and leakages in chemical factories, industrial environments, and inside mines
  1. Smart City Services

Smart city services include services for public safety and emergencies.  Below are the key areas where IoT and connected technologies can help:

  • Smart Kiosk: Smart kiosks play an important role in providing different city services to the public such as Wi-Fi services, 24×7 IP surveillance cameras and analytics, Digital signage for advertisement and public announcements. In some cases, free video calling and free mobile charging station, as well as environmental sensor integration can also be implemented. Smart kiosks also provide information about restaurants, retail stores, and events in the immediate area. It can also provide mapping for visitors and can sync with smartphones to give additional data as needed.
  • Monitoring of Risky Areas: Sensors (cameras, street lights) and actuators for real-time monitoring can be implemented in risky areas or areas prone to accidents. Upon detecting any crime, or mishap, these sensors can alert the citizens to avoid such areas temporarily.
  • Public Security: IoT sensors can be installed at public organizations and houses to protect citizens and provide real-time information to fire and police departments when it detects a theft.
  • Fire/Explosion Management: Smart fire sensors can detect and automatically take actions based on the level of severity, such as detecting false alarms, informing firefighters and ambulance, blocking off nearby streets/buildings on the requirement, helping people to evacuate, and coordinating rescue drones and robots.
  • Automatic Health-Care Dispatch: Smart healthcare devices can be implemented at public places to provide 24/7 health care for patients like dispensing medicines and drugs to patients. These devices can also be used to call an ambulance to pick up the patients in cases of emergencies.
  1. Smart Energy Management

Here’s how cities can implement smart energy management:

  • Smart Grid: Smart grids are digitally monitored, self-healing energy systems that deliver electricity or gas from generation sources. Smart grid solutions can be across industrial, residential as well as in transmission and distribution projects. Various IoT solutions like gateways can be used to achieve energy conservation at both the transmission level and consumer level. For e.g., gateways can provide a broader view of energy distribution patterns to utility companies with high connectivity and real-time analytics. Also, it develops a Demand-Response mechanism for the utility providers to optimize energy distribution based on the consumption patterns.
  • Smart Meters: Smart meters can be used in residential and industrial metering sectors for electricity and gas meters where there is a need to identify the real-time information on energy usage. Consumers and utilities with smart meters can monitor their energy consumption. Moreover, energy analytics, reports, and public dashboards can be also accessed over the internet using mobile applications integrated with these smart meters.
  1. Smart Water Management

IoT and connected devices enable smart water management in the following ways:

  • Potable Water Monitoring: Monitors the quality of tap water in the cities.
  • Chemical Leakage: Identifies leakages and wastes of factories in rivers.
  • Swimming Pool Remote Measurement: Controls the swimming pool conditions remotely.
  • Pollution Levels in the Sea: Controls the occurrence of leakages and wastes in the sea.
  • Water Outflows: Detects of liquid presence outside tanks and pressure variations along pipes.
  • River Floods: Monitors water level variations in rivers, dams, and reservoirs.
  1. Smart Waste Management

Smart solutions for tracking wastes help municipalities and waste service managers the ability to optimize wastes, reduce operational costs, and better address the environmental issues associated with an inefficient waste collection.

Implementation of a smart city comes with enormous opportunities to transform the lives of people and improve the overall city infrastructure and operations. Smart sensor networks, Internet of Things (IoT) and connected technologies are the key solutions for smart city implementation.

 

 Photo by Arturo Castaneyra on Unsplash

Read more…

Supply chain managers know better than anybody how many things can go wrong between point A and point B. Damage from mishandling and the elements, contamination, and product and IP theft are all very real threats. So how can you use technology to secure yourself against known and unknown threats in your industry? Just as importantly, how can you keep that technology sufficiently secure?

An ounce of prevention is worth a pound of cure — and IoT technologies for the supply chain boast a lot of potential cures. Luckily, with the right approach, you can have all the benefits and still minimize the risks.

What Kinds of Supply Chain Challenges Do IoT Technologies Cater To?

The most obvious advantage of bringing IoT technologies aboard is that you grant yourself true visibility of all your operations. You might justifiably feel a little intimidated at the prospect of newfound access to real-time data at a truly granular level. However, depending on the type of work you do, there are many IoT solutions that might add to your value and help you work more intelligently — without a crippling learning curve.

For example, some elements in your industrial IoT might be as large as pallet trucks and order pickers. Major companies are already deploying warehouse and supply chain equipment with self-driving functionality to achieve higher levels of vehicular safety and productivity throughout their operations.

Other times, bringing IoT to your supply chain provides far quieter, but equally impressive, results. The cost of RFID tags and near-field communication has been dropping reliably for years. What this means is that even large quantities of shipped products and components can receive per-unit identification through trackable, sensor-equipped tags. The right technology can feed you real-time information about the condition of your shipments and details about the environment in which your remote vehicles, personnel and teams are operating.

Of course, gathering all this information is one thing. Sifting through it and actually arriving at efficiency-boosting action items requires the right data analysis talent. In some cases, you'll need a reliable third party who can help you make sense of it with a dashboard or cloud business tool that's tailored to the work you do.

As you've probably been able to gather, the rest of the challenge centers on keeping all these devices — and the vital data they carry — safe from prying eyes. It also has to be accessible and useful to your team and partners.

The IoT Comes With Challenges of Its Own

With few exceptions, the major challenges that accompany a supply chain's integration of emerging IoT technologies fall along these lines:

  • Ensuring continued connectivity throughout networks with virtually no downtime
  • Safeguarding vital data, such as shipment locations, and making proprietary information, source code and other IP resistant to theft and tampering
  • Making sure new hardware and software integrates well with existing platforms and IT solutions

You won't be surprised to hear this, but a majority of IT specialists in the corporate world cite increasingly complicated networks as the source of most of their security concerns. Think about the complexity of the IoT — and all its satellite devices, beaming information to each other and to you. You'll start to get a sense of the challenge awaiting you when your facility or supply chain operation performs its own digital upfit.

Using the IoT to augment your abilities as a market leader and add transparency to your organization doesn't have to come at the expense of security-mindedness, however. In fact, in making strategic IoT purchases, you're very likely to find yourself better prepared than ever for some of the general and industry-specific compliance and quality standards you might be expected to uphold, such as HIPAA, PCI-DSS and Sarbanes-Oxley.

These probably sound like consumer-centric security regulations, and they are — but they exist to protect you and your partners, as well. They're a reminder that every piece of technology in an industry that touches human lives is an opportunity and a responsibility in equal measure.

Productivity and Security Work Hand-in-Hand

One of your first steps is to work with your partners to develop a holistic security solution for your newly connected supply chain. Anything you come up with needs to be consistent and as strong as the weakest link. Where are mistakes or security breaches most likely? In client-facing operations? In the last mile of delivery? Communication is paramount at this stage.

After that, it's a matter of gradually rolling out the hardware and software you're bringing into your operations. There will be a learning curve, after all, but ensuring buy-in from your managers and process specialists can go a long way.

Making conservative changes, one at a time, is also good for getting your team members acclimated to changes in their workflows and helping them iron out the kinks. Think about the waste you'd incur if the sensors you've deployed with your outgoing shipments aren't recovered and returned to your facility, for instance. Technology is filled with opportunities, but some of it also requires attention to detail. A deliberate approach ensures things progress smoothly.

Depending on the technologies you deploy, the granular, real-time data you gather from your logistics, sourcing, handling, shipping and returns departments can help you peer into the future and more accurately anticipate fluctuations in customer demand. You can also plan for changes in parts and material availability throughout your supply chain.

You get to think several steps ahead of the game and stay ahead of your competitors. Think about the benefits of getting ahead of something like the electronics components shortage currently gripping the market.

That level of planning ahead is useful for keeping your operation secure in many ways. One is anticipating where your products will be needed and planning ahead for potential roadblocks. Others include better preparedness and more complete contingencies for emergencies such as natural disasters, lost or stolen shipments, lost internet reception for connected devices, extended power outages and more.

In this way, technology is a bit like a snowball. As it solves one problem, it seems to elegantly solve other interrelated issues. As a consequence, if you play this right and work with the correct talent, you'll find yourself improving efficiency throughout your operations — even as you make them more resilient against outside forces and unforeseen interruptions.

Read more…

Until recently, we knew unicorns were mythical creatures which made an appearance only in Greek literature, the Bible, and Marco Polo’s travels. While not a single unicorn was ever discovered in the real world, these days, we seem to be dealing with a whole bunch of them, especially when it comes to business.

Technology has played a crucial role in small and medium businesses, made startups fashionable. Today we have many unicorns trotting about the business landscape.

The unicorns are celebrated for their successes and business acumen. Essentially, a unicorn is a start-up that is valued over $1 billion. When you think of them, think about, AirBnB, Uber, Xiaomi or even Flipkart. These are the new set of businesses that have disrupted the market in their respected sphere. But companies rise and fall all the time, so one may be tempted to ask what is so magical about these creatures?

The term Unicorn was coined in a TechCrunch article by Aileen Lee of Cowboy Ventures.

Part of the charm lies in reinventing the business model. They find a better way to do business. It may be a new idea or an improvement over the existing one. They offer a vision; a glimpse of what the future may hold and have an intense desire to grow.

Fuelling these dreams through constant innovation and the ability to adapt quickly. Precisely where some of the giant falter. Large businesses are bogged by internal processes and complexities resulting in delayed decision-making, allowing a start-up to swoop in.

 According to a study by CB Insights, there are around 175 unicorn companies globally.

The Unicorns and the Internet of Things

Many entrepreneurs have realized that IoT/IIOT technologies can level the playing field if they intend to dislodge industry giants. IoT Start-ups are looking to attract consumers or SMBs or large enterprises by increasingly relying on innovation on cloud and edge computing, IoT platforms, Artificial intelligence, IoT networks, IoT security or IoT devices.  Advanced technology is a key differentiator but not the only one- A new business model to attract customers could also become the initiator of a new unicorn.

After five years of exploring the fragmented but rich universe of IoT startups, no new unicorn has yet appeared. The most promising startups have seen their light turned off behind the Tech and Industry Giants check books. Those who are still pursuing their dreams of being unicorns see that the market does not accompany and no longer rely on analysts' predictions.

With all this, we may not see any unicorn of IoT. However, if I had to bet on some startups then these are my suggestions. 

The IoT Application Unicorn

My vote for the startup to become a unicorn in IoT Application category goes to: Uptake

Founded in 2014 by the CEO, Brad Keywell, that was also Co-Founder of Groupon, the company counts with a good number of investors. The company is stealing execs away from GE. (Uptake hiring several General Electric top digital executives) and have raised around $260 million since launching in 2014. Uptake was last valued at more than $2 billion, in fact, this startup is probably the first IoT unicorn. Uptake's revenue run-rate exceeds more than $100 million a year and future rounds of financing are expected.

LinkedIn profile: “Uptake helps industrial companies digitally transform with open, purpose-built software that delivers outcomes that matter. Built on a foundation of data science and machine learning, our vision is to create a world that always works — one where the machines and equipment we depend on daily don’t break, and industrial companies are once again the creators of economic growth and opportunity.”

WHY MY VOTE: Predictive analytics software is hot. The company sells to the mining, rail, energy, aviation, retail and construction industries and hopes to leverage data to improve safety, efficiency and productivity for their clients' operations. In spite his CEO has not accepted my LinkedIn invitation, no surprise to be honest, only 54% approve of CEO in glassdoor, the aggressive campaign against GE could launch the company this year. I like that his employees are sent directly to the field to observe fast hand the needs of its client base so they can really build software that solve real business problems.

ALSO FOLLOWING: FogHorn Systems a developer of “edge intelligence” software for industrial and commercial IoT applications..

The Hardware and Sensor Data platform Unicorn

My vote for the startup to become a unicorn in IoT hardware category goes to: Samsara

Samsara sells hardware and end-to-end solutions for fleet and industrial applications.

Samsara was founded in 2015 by CEO Sanjit Biswas and CTO John Bicket, who previously founded and led Meraki – a successful cloud networking company that was acquired by Cisco in 2012 for $1.2 billion. Samsara is based in San Francisco and was funded by Andreessen Horowitz (Raising $25M in funding). In May 2017, the startup announced that it had secured $40 million in a Series C funding round.

Sanjit Biswas, recognized that “They were definitely not the first to notice the technology trend behind the Internet of Things movement, but they realized no one was building products the way we did at Meraki, by combining hardware, software and cloud into an easy-to-use system”.

LinkedIn profile: “Samsara’s mission is to bring the benefits of sensor data to the organizations that drive our economy—from transportation and logistics to construction, food production, energy, and manufacturing—and to improve the safety, efficiency, and quality of their operations.”

WHY MY VOTE: Although not on this occasion his CEO accepted my invitation to LinkedIn, I like that Samsara disrupts the traditional sensor model with an integrated, software-centric solution. The products combine plug-and-play sensors, wireless connectivity, and rich cloud-hosted software, all tightly-integrated for simple deployment. Samsara is used by customers in a wide variety of industries, from transportation and logistics to energy and manufacturing. The company offers various solutions including fleet, ELD compliance, trailer, industrial, temperature, and power.

By focusing Samsara system for ease of use and streamlining deployments in the field, the teams were able to make several design choices that help them deliver a 10 times overall improvement over traditional solution. Samsara was in the list of “The 20 Fastest Growing IoT Companies” and is demonstrating is able to capture customers  in the fleet management and logistics industry against Verizon. The challenge is growth globally not only in US.

ALSO FOLLOWINGGeotab

The IoT Connectivity Unicorn

My vote for the startup to become unicorn in IoT connectivity category goes to: SigFox

LinkedIn profile: Founded in 2010 by Ludovic Le Moan and Christophe Fourtet, the company is headquartered in Labège near Toulouse, France’s “IoT Valley”. Sigfox provides connectivity for the Internet of Things (IoT). The company has built a global network to connect billions of devices to the Internet while consuming as little energy as possible, as simply as possible.

WHY MY VOTE: There are drastic limitations in the Sigfox global network. I could say that this will be the network of the stupid devices, but if they improve the network, ensure scalability, quality and security and allow interoperability with their competitors that will connect the most intelligent devices, then this startup will continue empowering companies to create new innovations on the IoT.

Sources announced that Sigfox is in peril as Senior Execs exit. The company has reacted but the pressure to growth in revenues and network deployment is high. Compete with the Telco Incumbents and the mighty powerful GSMA is a Hercules' own task. Some help from the French government and the EU will be appreciated, so the company can not be acquired. The Board and investors should guarantee the money the company need to comply with the high expectations of the market. In my opinion the window of opportunity is 2020. They have 2 years to demonstrate they can become the IoT-Connectivity unicorn.

ALSO FOLLOWINGActility, Link Labs, and of course the LORA alliance and M2M Service Providers.

The IoT -AI Platform Unicorn

My vote for the startup to become a unicorn in IoT/AI platform category goes to: C3IoT

I have written a lot about IoT platforms and I think that most startups will disappear in 3-5 years or they will never become a digi-unicorn. But there is a special case that can reach the end of the road. Mainly for who is behind, my old CEO Thomas Siebel.

LinkedIn profile: C3 IoT is an AI and IoT software platform provider for digital transformation. C3 IoT delivers a comprehensive and proven platform as a service (PaaS) for rapidly developing, deploying, and operating large-scale AI, predictive analytics, and IoT applications at scale for any enterprise value chain in any industry. At the core of the C3 IoT offering is the revolutionary C3 Type System—an extensible, model-driven AI architecture that dramatically enhances data scientist and application developer productivity. C3 IoT also offers configurable, high-value SaaS products for predictive maintenance, fraud detection, sensor network health, supply chain optimization, energy management, and customer engagement.

WHY MY VOTE: In January 17, 2018, the company announced a new round ($100 Million) of financing by existing investors TPG Growth, Breyer Capital, Sutter Hill, Pat House, and Thomas M. Siebel.

After the sale to Oracle of its CRM business, Tom, could with this new adventure, return to be relevant in the industry and I think he will not allow his new baby to be acquired. Not at least until he makes C3 IOT a unicorn.

ALSO FOLLOWING: The competition in the AI-powered industrial IoT sector is brutal, but the opportunity is big enough that the 10 startups highlighted here still have room to maneuver and time to scale up. I also keep an eye on them because one or more could well be the next unicorn in this hot market.

Key Takeaway:

Not being a IoT unicorn is not a tragedy. Many companies that started in the M2M business or that have been born in the heat of the IoT are doing well. Their employees are happy and satisfied customers guarantee a long life.

In my post “Is it possible to democratize the Internet of Things? How to avoid that a handful of companies can dominate the IoT”, I pointed out the opinion of Ryan Lester (Director of IoT Strategy, Xively by LogMeIn company acquired by Google). Ryan alerted that IoT feels only achievable to those companies with unlimited resources to make it happen. Looks like, the facts have given him the reason.

Yes, I admit, I would like to see unicorns in IoT. I would also like startups not to be obsessed with this issue and not throw in the towel too soon. If they are acquired, their legacy is very likely to be lost soon and in exchange for money they will have lost the opportunity to contribute to changing the world with their unique innovation in IoT.

Thanks in advance for your Likes and your Shares.

References:

http://www.moneycontrol.com/india-business-live-ibl/growth-for-sme/article/unicorns-in-our-midst-7501221.html

Read more…

Iot and IIoT has made it a long way in the past several years. In fact, according to Forbes, trillions of dollars are at stake as the Industrial Internet of Things rolls out over the next decade. But, has the multi-tillion dollar trend lived up to the hype?

It could be many more years until certain industries reach the levels described in the hype.  Here’s the industries you should keep your eye on when it comes to IIoT technology.

The Internet of Things and the Industrial Internet of Things (IoT and IIoT, respectfully), widely encompasses many concepts, technologies, and products, but can generally be described as:

  • A system that contains wired or wirelessly connected components which relay data that can be analyzed or used to control an output of the system
  • A network that allows for automated information exchange between two devices
  • A vision where any and all systems are connected to gather masses of data that will lead to overall improved performance, insights, and control

As of 2018, we most commonly see IoT being used for location tracking, remote monitoring, and preventative maintenance.  Yet, for IIoT the most common application is preventative maintenance. Many of these IIoT systems report back to a control interface, and are not completely automated control loops that are self-evaluating or self-improving.

 

There are some industries in particular that stand out when looking at the IIoT.  We looked at trends that will progress through the end of 2018 into 2019, and asked the following questions.

  1. What industries will be most affected by IoT solutions?

According to BI Intelligence, the ‘Manufacturing’ and ‘Transportation and Warehousing’ industries have received the highest amount of investment in IoT to date.  These investments, totaling $230B between the two industries over the past few years, will continue to drive impressive progress in the development of IoT solutions. 

  1. Who will be the key players in IIoT Solutions in 2019?

We are currently witnessing a race to capture the IIoT market.  AT&T is collaborating with Honeywell, Verizon offers a machine-to-machine (M2M) management platform called ThingSpace, and startups like Uptake Technologies are raising absurd amounts of capital to compete with existing analytics giants. Uptake alone has raised $218M since 2015, and specializes in analytics of complex data sets. 

Nearly all of the corporate giants you would expect to have a stake in the race are putting serious resources behind their efforts.  GE is offering Predix, and end-to-end Industrial IoT Platform, and has incorporated capabilities like Predix Edge to allow for edge computing within the platform.  Siemens offers their own Industrial IoT platform called MindSphere, and Bosch is also getting in on the action now offering their IoT Suite publicly available on AWS Marketplace. Further, Schneider Electric developed WonderWare and SAP offers Hana.

We expect that through 2019 we will see more partnerships develop, offering cross compatibility between the many platforms which are available today.

  1. What further developments in IIoT can we expect in the near future?

Security will continue to be a major focus for all providers and users of the IIoT.   In a recent publication Steve Watson, CEO of VTO Labs, explains “security and specifically the ability to detect compromised nodes, together with collecting and preserving evidences of an attack or malicious activities emerge as a priority in successful deployment of IoT networks.” This ability to detect and preserve evidence of a cyber-attack will not only need to occur through edge computing, but it will also need to be maintain its integrity with interoperability of different systems that are linked together.

Given the amount of investment we are seeing in the ‘Manufacturing’ and ‘Transportation and Warehousing’ industries we expect to see many breakthroughs in both cyber security for the IIoT and interoperability between the many IIoT platforms. Looking into 2019 we can expect to see more partnerships between major sensor providers and network providers, such as the AT&T Honeywell collaboration we saw in 2018. With more interoperability and collaboration, 2019 may be the year that we see the major breakthroughs in IIoT we’ve been expecting.

Read more…

Amidst all the hype and wide-eyed growth predicted for virtual reality, it's often difficult for stakeholders to decide which of its two words to focus on. Will VR deliver only indirect, 'virtual' benefits to in the manufacturing industry or direct, tangible benefits that become a bottom-line ‘reality’? On this topic, today's hype will definitely become tomorrow's given. In both ways. Even in these early days, VR is already a game changer for the future and holds immense promise for almost every manufacturing vertical. This includes auto manufacturing, electronic manufacturing, and nearly every form of manufacturing there is.

 

VR might utilize complex technologies, but its innovation is easy to grasp. Simply put, VR is a logical, next-step evolution in our ability to communicate with each other and with groups. Five thousand years ago, literacy made our thoughts portable. Almost a century ago, the first talking movie made experiences portable. Thanks to technological progress, VR now lets us create and easily distribute new, richer experiences that go beyond the time and space limitations of today's media. Every manufacturing company that needs to convey something - to a client, a trainee, or an audience - will benefit from the VR paradigm shift.

 

Keep your eyes open, unless they are already behind a headset, for the incredible changes coming in the near future thanks to VR. Here are just a few we can expect to see:

 

Beyond sight and sound

 

Through VR, perceptual experiences can now take place in three dimensions; a major evolution in and of itself. This benefit is already in growing use throughout the engineering and manufacturing industries, where prospective clients can walk through environments and properties to make informed visiting or purchase decisions. For example, those in the engineering space likely use computer-aided drafting (CAD) as a tool to help their ideas come into fruition; imagine if those professionals were able to actually interact and communicate with their CAD masterpieces. Imagine being able to design a part not with a mouse and keyboard, but by picking it up with your hands in the virtual space. On the manufacturing side, imagine being able to test out how parts fit together with your hands before casting or molding them. Not only does virtual reality make this plausible, but it also makes it possible.

 

In the near future, engineers and manufacturers will be able to collaboratively work together in a revolutionary new way, making for a more seamless product development and manufacturing process. Projects will be fine-tuned by taking input from colleagues as well as the physical, hands-on challenges that the project itself presents. This will happen in real-time and seemingly “real-life” despite it being a computer-generated simulation. If both engineers and manufacturers had the ability to interact with their projects in a transparent, hands-on manner, their start-to-finish times would decrease and there would be skyrocketing numbers inefficiency. Not to mention better product design and less need for re-dos or last-minute changes in the manufacturing plant.

 

 

VR moves us beyond the limitations of the two senses used in today's communications: sight and sound. By way of hardware peripherals, VR experiences will include tactile and other sensory information to further emulate physical reality. If seeing is believing, what is touching worth? Customers will be able to feel the material before they buy that suit or curtain. Doctors will practice removing that tumor on the patient’s heart before doing the dangerous procedure in real life. Wearables will produce and extract additional sensations for and from the user. Manufacturing companies will get to see a preview of what the real production line will look like and how it will work.

 

Multiple paths to the right message

 

More than any existing media, VR can provide an experience that's genuinely interactive and able to switch the narrative flow in real time. The user, the author, the publisher, and even the audience can all influence activity to a directed outcome, whether it's an informed trainee, a successful sale or a storybook happy ending. The gaming industry has long been pioneering these open-narrative experiences through 'quests' where the user determines the action, as well as through networked games, where multiple participants can affect actions and outcome simultaneously.

 

It can be argued that virtual reality, and its recent boom in growth, can be attributed to the gaming industry. As gamers pushed for games that are more realistic, have better graphics, and are more immersive, VR was born. Though, the past has taught us that a technology’s future is not limited to its origin. Despite VR’s roots being in the gaming industry, it is already spreading into other areas of the world.

 

If one were to transpose gaming into the business world, a quest could be compared to any transaction or negotiation. The action involves the presentation of persuasive information (such as a proposition or product demo) by one party, while the other decides whether the choice is compelling. If so, deeper interest is expressed and deeper content invoked. If not, alternative content is delivered or selected. While this is happening, a third-party distributor of the content might be deciding, through AI and selective data, which content to serve to which user in real time. An outside audience, such as a focus group or other customers, could steer the details and outcome. VR does away with the one-sidedness of linear experiences like video. It subsequently allows for more accurate, more realistic, and more informed product feedback decisions.

 

Perhaps most importantly is the direct connection VR establishes between customer and manufacturer. Aside from small focus groups and beta-testers, manufacturing companies are highly restricted when it comes to letting users get their hands on a product until after it has been widely manufactured. Virtual reality will allow a manufacturer to put a tangible, interactive product in a customer’s hands without ever physically manufacturing it. Not only will this save time and money, but it will also allow the manufacturer to identify changes and apply them before physically producing a large run of the product.

 

Liberation from place

 

What if there were a Skype for physical presence? Short of the matter transporter that Trekkies dream about, VR will be our closest answer. What if you could invite thousands to a physical venue that only held a dozen? What if a company's best global talent could interact on the same project in real time without travel? What if companies could train new employees through real-world simulations, rather than procedure manuals and explainer videos?

 

The immersive aspect of VR makes all this possible. Today's teleconferencing will seem archaic in comparison to VR's shared group experiences, where one-to-one can take place at the same time as one-to-many. Our most acute human assets will re-emerge through this technology. Physical cues like eye contact and body language will matter again. Even if two people are on opposite sides of the globe. Who's paying attention and who's not will be obvious once more. Naturally, this will all be captured as data. However, it will seem as natural as shaking the hand of someone in the same room once you slip on the headset. Simply imagine the impact that this will have on how business is done in the near future.

 

Unmistakable Cost Effectiveness

 

When it comes to manufacturing, it takes two things to have a great operation: cost-effectiveness and production of a good product. When you combine both of these things, you have an operation primed for success and profits. Though they are both achievable through today’s traditional methods, as evidenced by the manufacturing companies of today, VR will make the process of getting there easier and more accessible.

 

Those in the manufacturing industry know how much money is spent on correcting mistakes, re-doing things, and going back to fix problems that could have been avoided in the first place. With VR, leaders in manufacturing will be able to run simulations that examine nearly every aspect of the manufacturing process. This will practically eliminate the costly mistakes and poor projections that cost so much money. In turn, these companies will see much higher profits and quickly pay off the investments they have made in VR.

 

Even more so, employers will be able to train employees more effectively and more efficiently. This will drastically cut back on paid hours of training time, days off for training or conferences, and more. By having employees who are better trained run a facility, the manufacturing process will ultimately be smoother as a whole, further eliminating mistakes and problems.

 

Far-Reaching Impact

 

Which industries will benefit from VR? All of them. The only catch? VR technology must become more adept, standardized and accessible. In these early days of a global technology shift, the sentiment is still mixed. According to the Consumer Technology Association, users have trouble finding the content they want, and without it, headset usage - and interest - declines. Fortunately, there are hordes of talented developers working on the content needed as you are reading this. In the coming days, content libraries will begin to fill up and one-by-one large corporations and small businesses alike will embrace the positive change that VR brings.

 

In time, arguably a short amount of time, VR will be a complete game-changer. It will revolutionize the business, engineering, medical, and manufacturing worlds and elevate them to new heights. Efficiency will be bolstered, communication will be more natural, and product development will be seamless. So, although the word ‘virtual’ is in the name, you can expect nothing less than ‘reality’ when it comes to the impact VR will have in the near future; both for the business enterprise and for the human enterprise.

 

Joseph Zulick is a writer and manager at MRO Electric and Supply.

Read more…

How to Use IoT Datasets in #AI Applications

Guest post by Ajit Jaokar

Recently, google launched a Dataset search – which is a great resource to find Datasets.  In this post, I list some IoT datasets which can be used for Machine Learning or Deep Learning applications. But finding datasets is only part of the story.  A static dataset for IoT is not enough i.e. some of the interesting analysis is in streaming mode. To create an end to end streaming implementation from a given dataset, we need knowledge of full stack skills. These are more complex (and in high demand). In this post, I hence describe the datasets but also a full stack implementation. An end to end flow implementation is described in the book Agile Data Science, 2.0 by Russell Jurney. I use this book in my teaching at the Data Science for Internet of Things course at the University of Oxford. I demonstrate the implementation from this book below. The views here represent my own.

In understanding an end to end application, the first problem is .. how to capture data from a wide range of IoT devices. The protocol used for this is typically MQTT. MQTT is lightweight IoT connectivity protocol. MQTT is publish-subscribe-based messaging protocol used in IoT applications to manage a large number of IoT devices who often have limited connectivity, bandwidth and power. MQTT integrates with Apache Kafka. Kafka provides high scalability, longer storage and easy integration to legacy systems. Apache Kafka is a highly scalable distributed streaming platform. Kafka ingests, stores, processes and forwards high volumes of data from thousands of IoT devices. (source Kai Waehner)

Full stack – End to End

With this background, let us try to understand the end to end (full stack) implementation of an IoT dataset. This section is adapted from the Agile Data Science 2.0 book

Image source:  Agile Data Science, 2.0 by Russell Jurney

We have the following components

Events: represents an occurrence with a relevant timestamp. Events can represent various things (ex logs from the server). In our case, they represent time series data from sensors typically represented as JSON objects

Collectors are event aggregators which collect events from various sources and queue them for action by real-time workers. Typically, Kafka or Azure event hub may be used at this stage.

Bulk storage – represents a file system capable of high I/O – for example S3 or HDFS

Distributed document store – ex MongoDB

web application server – ex flask, Node.js

The data processing is done via spark. Pyspark is used for the Machine learning (either scikit learn or Sparl MLlib libraries) and the results are stored in MongoDB. Apache Airflow can be used for scheduling

Code

from github repository of Agile Data Science, 2.0 

https://github.com/rjurney/Agile_Data_Code_2/tree/training

The EC2 scripts: https://github.com/rjurney/Agile_Data_Code_2/blob/training/aws/ec2_bootstrap.sh*

The real-time notebook with Spark ML/Streaming : https://github.com/rjurney/Agile_Data_Code_2/blob/training/ch08/Deploying%20Predictive%20Systems.ipynb

Finally, below are some of the reference datasets you can use with IoT.

To conclude, using the strategy and code described here – you could in principle, create an end to end streaming IoT application. 

IoT datasets

Utilities

Gas Sensor Array Drift Dataset Data Set

Water Treatment Plant Data Set

Internet Usage Data Data Set

Commercial Building Energy Dataset

Individual household electric power consumption Data Set

AMPds2: The Almanac of Minutely Power dataset (Version 2)

Commercial Building Energy Dataset Energy, - Smart Building Energy ...

Individual household electric power consumption Energy, Smart home ...

Energy, Smart home AMPds contains electricity, water, and natural g...

UK Domestic Appliance-Level Electricity Energy, Smart Home Power de...

Gas sensors for home activity monitoring Smart home Recordings of 8...

Smart cities

Traffic Sign Recognition Testsets

Pollution Measurements for the City of Brasov in Romania

GNFUV Unmanned Surface Vehicles Sensor Data Data Set

CGIAR dataset Agriculture, Climate - High-resolution climate datase...

Uber trip data Transportation About 20 million Uber pickups in New ...

Traffic Sign Recognition Transportation

Malaga datasets Smart City A broad range of categories such as ener...

CityPulse Dataset Collection Smart City Road Traffic Data, Pollutio...

Open Data Institute – node Trento Smart City Weather, Air quality, ...

Taxi Service Trajectory Transportation Trajectories performed by al...

T-Drive trajectory data Transportation Chicago Bus Traces data Tran...

Citypulse ataset Collection

Taxi service trajectories

Health and home activity

Educational Process Mining Education, Recordings of 115 subjects’ a...

PhysioBank databases Healthcare - Archive of over 80 physiological ...

Saarbruecken Voice Database Healthcare - A collection of voice reco...

CASAS datasets for activities of daily living - Smart home Several ...

ARAS Human Activity Dataset - Smart home Human activity recognition...

MERLSense Data - Smart home, building Motion sensor data of residua...

SportVU Sport Video of basketball and soccer games captured from 6 ...

RealDisp Sport Includes a wide range of physical activities (warm u...

GeoLife GPS Trajectories Transportation A GPS trajectory by a seque...

Various sensor driving datasets

IoT Network Dataset

Various MHEALTH / physical activity dataset

Source: for some of the datasets Deep Learning for IoT Big Data and Streaming Analytics: A Survey

This article origally appeared on our sister site Data Science Central.

Read more…

Guest post by Kai Waehner

I built a scenario for a hybrid machine learning infrastructure leveraging Apache Kafka as scalable central nervous system. The public cloud is used for training analytic models at extreme scale (e.g. using TensorFlow and TPUs on Google Cloud Platform (GCP) via Google ML Engine. The predictions (i.e. model inference) are executed on premise at the edge in a local Kafka infrastructure (e.g. leveraging Kafka Streams or KSQL for streaming analytics).

This post focuses on the on premise deployment. I created a Github project with a KSQL UDF for sensor analytics. It leverages the new API features of KSQL to build UDF / UDAF functions easily with Java to do continuous stream processing on incoming events.

Use Case: Connected Cars - Real Time Streaming Analytics using Deep Learning

Continuously process millions of events from connected devices (sensors of cars in this example):

Connected_Cars_IoT_Deep_Learning

I built different analytic models for this. They are trained on public cloud leveraging TensorFlow, H2O and Google ML Engine. Model creation is not focus of this example. The final model is ready for production already and can be deployed for doing predictions in real time.

Model serving can be done via a model server or natively embedded into the stream processing application. See the trade-offs of RPC vs. Stream Processing for model deployment and a ....

Demo: Model Inference at the Edge with MQTT, Kafka and KSQL

The Github project generates car sensor data, forwards it via Confluent MQTT Proxy to ....

This project focuses on the ingestion of data into Kafka via MQTT and processing of data via KSQL: MQTT_Proxy_Confluent_Cloud

A great benefit of Confluent MQTT Proxy is simplicity for realizing IoT scenarios without the need for a MQTT Broker. You can forward messages directly from the MQTT devices to Kafka via the MQTT Proxy. This reduces efforts and costs significantly. This is a perfect solution if you "just" want to communicate between Kafka and MQTT devices.

If you want to see the other part of the story (integration with sink applications like Elasticsearch / Grafana), please take a look at the Github project "KSQL for streaming IoT data". This realizes the integration with ElasticSearch and Grafana via Kafka Connect and the Elastic connector.

KSQL UDF - Source Code

It is pretty easy to develop UDFs. Just implement the function in one Java method within a UDF class:

            @Udf(description = "apply analytic model to sensor input")             public String anomaly(String sensorinput){ "YOUR LOGIC" } 

Here is the full source code for the Anomaly Detection KSQL UDF.

How to run the demo with Apache Kafka and MQTT Proxy?

All steps to execute the demo are describe in the Github project.

You just need to install Confluent Platform and then follow these steps to deploy the UDF, create MQTT events and process them via KSQL levera....

I use Mosquitto to generate MQTT messages. Of course, you can use any other MQTT client, too. That is the great benefit of an open and standardized protocol.

Hybrid Cloud Architecture for Apache Kafka and Machine Learning

If you want to learn more about the concepts behind a scalable, vendor-agnostic Machine Learning infrastructure, take a look at my presentation on Slideshare or watch the recording of the corresponding Confluent webinar "Unleashing Apache Kafka and TensorFlow in the Cloud".

https://www.slideshare.net/KaiWaehner/unleashing-apache-kafka-and-t...

Please share any feedback! Do you like it, or not? Any other thoughts?

This article origally appeared on our sister site Data Science Central.

Read more…
The Internet of Things will do more than make our homes and cities stronger. They’ll also make everything more connected - including our people. To put it simply, we’re moving into the era of Civic Engagement 2.0. And that’s a wonderful thing, provided your city is prepared for it. Here’s how you can be.
Read more…

One year ago, I wrote the first part of this article: “Who need an IoT Analyst?. In those first part, I classified the different types of analysts who are involved in one way or another in the Internet of things (IoT).

In this second part, I will address the special case of analysts specializing in IoT Platforms. For them, I have created 4 categories of IoT Platform Analysts (The Powerful, the Specialists, The Opportunist and the Intruders) and then I ranked them following two high level criteria: Technical Experience criteria and Business Experience criteria.  The level of influence is a subjective value based on my own research and perception.  Likewise, the position in terms of technical and business criteria is also subjective. As usual in these graphics some will feel comfortable and I will receive critics from others. Nothing new under the Sun.

Let us start for the Powerful category:

The IoT Platforms Powerful Analysts' Firms

We will never remove at 100% the shadow of doubt flying over the reports and recommendations that prestigious and powerful firms like McKinsey, Gartner, IDC or Forrester continue to publish. But it also true that these multinational companies count with great analysts and they have the contacts with the right people in the Big IoT platform vendors, so they can get not only marketing info but strategic info from these vendors that is nearly impossible to get for others.

Not all the Powerful always agree, just read the Forrester reports of Q4/2016 and Q4/2018 and compare with Gartner report 2018 or IDC report 2017 to see the differences and the reasonable doubts for customers that only read these reports.

In Forrester reports from 2016 and 2018 we see some leaders maintaining their positions while other companies are losing moment, or they are not anymore in the picture.

Surprise even more if you see the Gartner graphic below with no leaders and most companies in the Niche players segment.

Finally, in the IDC Marketspace IoT Platforms picture dated in 2017 we see that Microsoft, PTC and IBM repeat as Leaders but new companies are included. No Contenders neither participants are interested for the guys of IDC.

Recommendation –  In terms of methodology and scope the reports of these Powerful analyst is not so bad, but they lack the in deep analysis firms required for a customer to take a final decision. These reports are valuable to shortlist candidates in RFIs/RFPs and of course the report is an excellent sales tool for companies that appear in the picture. My recommendation is used it for a first filter.

The IoT Platforms Specialist Analysts' Firms

Some of them started with the M2M market and have evolved to the IoT in a gradual way, without losing its essence like ABI Research, Berg Insight, Beecham Research, Harbor Research. Others like MatchManation or IoT Analytics, however, focused from the beginning in the IoT platform market analysis.

The populated market of IoT platform vendors and the need of these startups for brand recognition with low cost marketing, have made it bloom IoT platform specialist analyst firms offering their services.  Their suspense sales strategy can be annoying. Go discovering who is who is not easy and put all the tracks together is expensive. Some examples below. Nevertheless, I want to thanks to some vendors included in the report that allow download partial reports.

Recommendation - The reports of IoT Platform specialists will help us discover some jewels that the Powerful have overlooked or have not wanted to pay to appear in their famous reports. I do not like how these companies use a game-strategy offering partial pictures or partial reports through their most valuated clients or generic pictures with no names. I believe they need to be courageous and present graphics will all companies’ logos. Otherwise they will be continuing in a niche market that soon will be owned for the Big Players.

The Opportunistic Firms

These analyst firms want to take advantage of the IoT platform moment. Companies such as Navigant, IHS market, 451 Research or Constellation Research have published reports on this topic.

Recommendation - I find their IoT reports useful from a vertical or an individual vendor analysis.

The Intruders Firms

There are other firms (The Intruders) that in my opinion are aggregators of content. Companies like Markets and Markets or Data Bridge deliver big reports with excellent pictures, tables and infographics.

Recommendation - Sometimes they provide for free a Table of Contents with dozens of tables, and a list of dozens of IoT platforms info but I am afraid that in 1 page per platform the info sounds irrelevant for take a decision. They facilitate the multi search in Google to identify IoT platform vendors.

Note: I have not included in this article Universities that produce very interesting to read reports including more granular technical criteria than most of the powerful or specialist analyst firms. 

Key Takeaway:

Recommending a client an IoT platform is a very delicate matter. The IoT platform will play a key role in the execution of its IoT strategy. Giving good advice on the choice of these platforms requires a lot of time and dedication with the client to understand their objectives, identify their use cases, know their organization and their IT / OT systems.

The reports of the analysts of IoT platforms, both those of the Powerful and those of specialists help to make a first filter and to select 3 or 4 vendors that best adapt to their needs. Thereafter, these finalists need to be analyzed in greater depth. That is why I decided to create our IoT Platforms services, which have been so successful and well received by our customers.

We value positively that this combination of IoT Platform vendors and IoT platform analysts exists. The Powerful ones help them as always and the small ones help them in their efforts to be noticed in a technological world as little democratic as the present one.

Thanks in advance for your Likes and your Shares.

 

Read more…
Digital Transformation is moving any company into the future. Well, this statement is true for Disney, Nestle, Apple, Amazon and other leaders as they focused mostly on the customer/user experience.
 
Digital Transformation is in almost every c-level magazine, blog and whitepaper and executives do not want someone comes in and disrupt their business.
 
If you want to reap the rewards of the digital revolution, a smooth, easy and positive user experience is vital.
 
People may not be getting technically proficient, but they have become more comfortable using their smartphones to download music, find the nearest movie theatre or pay for purchases. This raises the bar for user experience.
 
Today organizations are adopting MobilityAnalytics, and the Internet of Things for Digital. However, solutions, which are not intuitive, responsive and social, does not have a place in the customer’s list. So it becomes appropriate for companies to get into the user experience space.
 
A UX design can supercharge productivity, add immense value to customer interactions, and help employees love their jobs.
 
It is extremely important to do an accurate analysis of users, their needs by conducting surveys, workshops to design the UX.
 
Here are six major criteria for UX design:
  • Easy to find: How easy it is to find a site or application
  • Ease of use: How easy it is to use the site or application, how easy to learn
  • Easy to access: How easy it is to access the site or application, easy to understand, easy to reach
  • Usefulness: How useful the features and functions are and they meet my needs
  • Elements of desirability: Will make users like the product’s looks and feel and visual appeal
  • Credibility: How much users trust the site or application, creating the overall brand experience
 
Overall UX design should have short navigation steps so users require very few clicks to get the information they want. It should be based on responsive web designs so application maintain full functionality, usability and appeal on different browsers and screens from desktop to laptops to tablets to smartphones.
 
Once you have applied these criteria it is also important to measure the results, for future course correction. One initial KPI is user adoption rates, which should be higher than 60%.
 
The great user interface makes the experience better, transactions easier, decision making simple and cuts down the operational costs. 
 
It is the deciding factor for keeping/loosing or successfully engaging a customer.
Read more…

Throughout the years, the oil and gas industry has confronted numerous difficulties — from expediently changing economic situations to an enormous decrease of ability and workforce. Because of these difficulties, numerous oil and oil providers' development designs were put on hold. To beat these difficulties and also to maintain their business development designs, organizations are looking towards inventive innovations. Web of Things and Cloud are the key advancements for oil and gas industry that assistance accomplish operational productivity. IoT and cloud advances enable the business to manage various difficulties, for example, instability of oil costs, guaranteeing the security of laborers in the dangerous condition, getting to information and data for taking right choices, observing remote resources, fuel shipments, and so forth.

 

How IoT and associated cloud advancements functions for oil and gas industry:

 

The usage of IoT and cloud innovation enables organizations to enhance oil and gas activities by beating challenges. For an example, data gathered from every framework enables specialists to direct a functioning checking of the general framework, including gas spillage, different dangerous conditions, and so on. Also, associated frameworks can be customized to send dynamic alarms to other associated gadgets in the event that they start to fizzle. In such cases, cautions can likewise be sent when frameworks are going to encounter a high-weight circumstance or some other perilous issues.

 

The associated framework gives a total perceivability of the operational floor, even in a remote area, guaranteeing proactive support to follow up on potential issues, for example, issues in tank levels, oil weight, spillage, and so on., from sensors sent in the well. What's more, IoT enhances efficiencies in resource following. The utilization of sensors allows the oil organizations to screen countless alongside stock and oil and gas shipments. These following sensors give valuable data so the organizations can recognize the quantity of provisions in inventories and if any thing is feeling the loss of, the IoT sensors can be utilized to track shipments with the correct area of each oil and gas shipment.

 

Part of digitization in the improvement of oil and gas industry

 

Digitization in oil and gas industry permits oil and gas organizations to enhance their business by decreasing costs, enhancing basic leadership, and expanding the profitability and effectiveness, to augment business and operational advantages for development. Also, wearable innovation joined with the cloud capacities can support laborer wellbeing by enabling supervisors to screen representatives in danger.

 

There are distinctive IoT and cloud stages accessible in the market. Here, we will discuss how AWS Cloud administrations can help defeat issues in the Oil and Gas industry.

 

Pipeline security challenges

 

Pipelines are a standout amongst the most productive methods for transporting vast amounts of unrefined petroleum or flammable gas. There are diverse difficulties in keeping up these pipelines, for example, consumption, human blunder, spillage, metal misfortune or modest splits, which can result in real breakdowns and perils. Indeed, even a pinhole spillage, which can be not entirely obvious amid a virtual investigation, can turn into a major issue. Likewise, it is basic to keep up the temperature of oil and gas in funnels to keep the water and oil level adjusted with a specific end goal to lessen the odds of future accidents.

 

Distributed computing stages like Amazon AWS enable organizations to utilize a system of gadgets and remote servers facilitated on the web — to store, oversee, and process information. Cloud-based preparing administrations empower pipeline administrators to process a colossal measure of information keeping in mind the end goal to run a point by point examination that enhances the straightforwardness and wellbeing of pipeline activities.

 

To oversee pipeline, assess hazard, expel human blunder, give specialist wellbeing, get to information identified with remote areas, and so forth., AWS IoT Device Management can be of extraordinary help. With AWS IoT Device Management, pipeline administrators can without much of a stretch locally available and track associated IoT gadgets. It can likewise help in the scaling of existing gadget armadas, which can lessen the cost for extensive arrangements.

 

Apparatus downtime challenges

 

In the Oil and Gas industry, generation downtime can result in a huge number of loss of dollars every day. To guarantee that the generation apparatus and other basic hardware downtime are limited, organizations need to put resources into customary upkeep and observing of utilizations. Updating an upkeep application to guarantee a more prescient support of oil hardware and apparatus with advanced innovations and information can help seaward creation offices to chop down their spontaneous downtime and drive a superior operational effectiveness.

 

As the oil and gas creation moves towards a more computerized and information empowered condition, it is vital for the administrators to manufacture more prescient and information driven methodologies for resource tasks. Currently checking and following the state of segments is exceptionally basic, with the goal that the frameworks don't separate and bomb on a foreordained calendar.

 

Amazon Cloud Watch causes screen assets to mechanize activities in light of characterized measurements, gather and screen log documents, and set alerts. This at last aides in using applications at an ideal level, keeping up application execution and guaranteeing operational wellbeing to keep the application running easily.

 

Cloud-based administrations can offer skill and adaptability to help information driven methodologies as they proceed to develop and advance. Utilizing AWS cloud administrations for observing, gathering telemetry information from numerous gadgets, and putting away and breaking down the information can diminish the future endeavors.

 

Penetrating difficulties in the ocean

 

Profound penetrating is a territory of oil and gas investigation that need a superior innovation. Profound apparatuses are utilized to bore assets that are hard to reach. Be that as it may, the more profound the apparatus goes, the more unsafe it progresses toward becoming. Subsequently, the apparatus and administrators must be precise as far as inches and centimeters amid the boring procedure. Deepwater boring is troublesome actually, and furthermore increment the quantity of natural concerns if done unsystematically.

 

One of the innovations to manage such difficulties is RFID (Radio recurrence recognizable proof). RFID lessens hazard and non-gainful time and perform tasks that are troublesome with customary instruments. The RFID innovation utilizes minor electronic gadgets that comprise of a reception apparatus and a little chip to consequently distinguish and track marks that are connected to boring items. In addition, RFID with AWS cloud administrations empower oil and gas associations to build their productivity and decrease the cost of conveying penetrating apparatuses. Also, with cloud-empowered RFID, associations can foresee the accomplishment of boring activity as per nature, and also benefit data to distinguish ideal oil penetrating areas. Additionally, it helps oil and gas associations to recognize potential penetrating mistakes or hardware disappointment with the assistance of ongoing sensor information and land information from gear.

Read more…

Those who regularly read my articles know that I like movies and TV series. Just remember my article "About IoT Platforms, Super Powers Methodology, Superheroes and Supervillains".

This time my article is dedicated to the two trilogies: Jurassic Park and Jurassic World (the latter still pending the third movie).

 

Have not passed millions of years since the appearance of the first telemetry species and their evolved cousins of Machine to Machine (M2M.) But the tempo in technology is measured differently. The unit of time here has to do with Gartner Hype Cycle. For Gartner the technologies pass quickly from Innovation Trigger to Productivity. Companies that want to appear in Gartner´s  Magic Quadrants have to adopt successfully these technologies or are condemned to  disappear.

 

Large companies that have been in the IT world for more than 15 years seem like dinosaurs and they themselves are afraid of disappearing because of a meteorite (IoT metaphorically).

 

In this article I present some technology companies that we could consider as dinosaurs and that are undergoing a cloning (transformation) to adapt to the new world of the Internet of Things (IoT), Artificial Intelligence(AI) or Blockchain.

 

As usual in this type of articles, the included companies and the classification is subjective. Therefore, not all dinosaurs are represented (47 species of cloned animals have been portrayed in the novels and films) nor all companies can feel be represented by the dinosaur that I have chosen for them.

 

Welcome to my Jurassic World of IoT.

The threats to these cloned dinosaurs are constant. Despite its size and strength many predators lurk to take down these giants (Uptake digital safe package over GE Digital).

Some species go in packs (Google and Ayla Networks or Microsoft and Electric Imp) to survive and others seek alliances with other cousins giants (Rockwell to take $1 billion stake in software maker PTC) the best way to reign in its territory.

 

There are also dinosaurs in the WestWorld of the Telcos and in the world of Industrial companies that are adapting or cloning, but that is another story.

 

Your comments and suggestions can vary my Jurassic World table of the IoT.

Read more…

Considerations for IoT App Development


The textbook definition: Internet of Things (IoT) is the network of physical devices connected to each other. In layman’s term, any device or appliance that is connected to other such items via the internet or any such wireless network.

You must have watched in movies devices like smart mirrors that show weather and news, and touch screen car dashboards. These things are not fantasies anymore but present-day gadgets.  IoT solutions aren't just for larger than life devices but also for normal appliances. You can convert your regular water faucet or AC into an IoT Compatible device with some simple adjustments.

There are some sensors and radio frequency tags that receive commands from your mobile or computer and follow the instructions accordingly. So you can sync your mobile’s alarm with your bathroom’s faucet so that after 15 minutes it will start heating water for your bath. And the fridge can send a message to your smartphone with the list of items running low like milk or eggs.

What is the IoT App Development?

The textbook definition: IoT App Development is an amalgamation of many different skills in the production and maintenance of app products like Native/Hybrid apps, web applications built to control consumer electronics, IoT devices. Simply said, IoT app development is the means by which we develop a platform where unconventional smart home Devices  (toaster, doorbell, etc) communicate with conventional IoT devices (computer, smartphones, tablets).

If we are talking about IoT developers then, they are working to make other unprecedented objects also networking just like present-day mobile devices.

Present day IoT facts:

  • In the year 2018, there are almost 2 billion individual devices across the world connected via IoT technology.
  • It is projected that the IoT industry will become a whopping $3 trillion business by 2020.
  • Back in 2008, there were more devices connected to the Internet than people.
  • ATMs can be considered as some of the first IoT devices that went online back in 1974.
  • The market for Radio Frequency Identification (RFID) tags, used for transmitting data to identify and track objects, is worth more than $11.1 billion.

IoT (Internet of Things) examples:

Smart Home, connected devices from bulbs, fans to TV and in some cases the entire house is Smarthome.

Business offices have adopted smart projectors, voice-enabled assistants (Alexa, Home Pod, Google Home) and other devices. Transportation has real-time responsive vehicle dashboards that warn you about traffic and even save lives by projecting possible accidents and warn the driver in the span of milliseconds. A groundbreaking example of this is the BMW i8.

The possibilities are endless with IoT web development. With more and more things joining the IoT club and that too the objects that could never have been imagined to become an Internet of Thing.

Advantages of IoT app development

Data is the currency of the future. So the more data you have, the richer you are. IoT devices like smart clothes can keep track of your skin condition and warn of possible skin conditions. This information can be sent to your dermatologists who can clearly understand your symptoms without making an error and give the right cure.

Time is the most invaluable thing; more for people who may be fighting a life or death situation. If the paramedics responding to an accident call have an IoT device that can give the vitals and relevant medical information of the patient then countless lives can be saved because of the timely response.

Money is the driving force of the financial world and IoTs are saving a whole lot of it. If your fridge knows which grocery items are running low, it can send a list of items to the home assistance device which can order the groceries from the best and cheapest source.

Tracking your daily activities will give in-depth information about almost everything. This makes medical, retail, entertainment, and many other industries to cater to your needs on a more personalized level.

IoT Product Design

If you are an IoT web developer or an entrepreneur planning to build an connected products  or IoT service then you need to learn what platforms and what languages will be used for the same. The pre-requisites before starting you IoT product design (for this blog we would consider IoT app development) are:

IoT Development Platform

IoT app development programming languages were more unique earlier but now common web and app development languages can be used. This choice in programming languages freed IoT app development from restrictions that were present with older embedded systems. The choice of programming language can be done on the basis of the knowledge of your app developer, compatibility with your IoT app development ecosystem, the speed of development, size and memory of the code, and efficiency required.

Programming Language

Advantages

Disadvantages

C & C++

Almost every programmer know this language

Code is more hardware-specific

 

Popular for Linux OS and Arduino which were used for IoT software systems

 

Java

Code is less hardware-specific, making it more portable

Requires libraries to run on different hardware

 

Write once, run anywhere type of code

 

Python

It’s an interpreted language, making it more flexible.

Compared to Java’s speed, Python is slow.

 

Codes are easy to write and read.

 

 

Perfect for data-heavy apps.

 

 

There are many other options for programming languages like Node.JS, JavaScript, Go (Google), Rust, B#, Parasail, etc. to choose from.

Back End Development

When trying IoT app development you need to consider that each device has different capabilities and commands. The way of communicating with each device will vary. So a pre-defined framework for communication should be set or each individual device that the IoT app can understand. Node.JS has emerged as the common framework for this type of communication between IoT devices.

Speed

Design strategies for slow connections should be adopted. Unlike traditional websites, where requests go to a web server which sends data back; there is another communications step involved for IoT devices. This potentially means additional latency and the user’s perception of slow response.

User Interface (UI)

The UI for IoT app should be fast, clean, and intuitive. The need for a good feedback program and user-assistance is a must to get precise data from the IoT device. Because the app will be in the mobile device and command other non-mobile IoT devices, all the standard usability practices are to be integrated for the users’ ease.

IoT app development has a bright future ahead. It is the next big thing after the Internet and if you wish to be a part of this glorious future then you need to hurry. 

Read more…

With literally hundreds of IoT platforms on the market, how do you know which ones to add to your short list? As a rule of thumb, an IoT platform should connect to Things, manage their identity + security, collect data, store, manage, analyze and visualize that data, integrate with enterprise systems and take action on insights. 

In this podcast, Rob Tiffany walks you through these minimum requirements to help you make an informed choice.

http://theinternetofthings.io/iot-podcast-8-what-to-look-for-in-an-iot-platform/ 

Read more…

We are well aware that IoT offers a range of possibilities across various industries including consumer electronics and cars, healthcare, utilities, transportation, manufacturing, and so on. Also, Industrial IoT offers means to obtain insights into the business operations.

IoT offers a greater promise in the healthcare sector than in other sectors. This is because the IoT principles are already being applied to enhance the quality of care, reduce the cost of care, and improve the overall access to care. 

The integration of IoT features into medical devices greatly enhances the effectiveness and quality of service, especially bringing greater value to those requiring constant supervision and elderly patients suffering from chronic illnesses. The IoT has the potential to not only keep the patients healthy and safe but also to improve how the doctors provide care as well.

A few estimates have revealed that by 2025 spending on Healthcare IoT solutions will reach around $1 trillion, and hopefully, will make the conditions favourable for highly accessible, on-time, and personalized health services for everyone.

The IoT can also enhance patient satisfaction and engagement by allowing patients to spend more time interacting with their doctors. This article will explore some of the major applications of healthcare IoT and the challenges it poses for healthcare today.

Applications of Healthcare IoT

Starting with managing chronic diseases to preventing a disease, there are a broad range of applications for IoT in the healthcare sector. Now, let’s dig deeper into each of the major applications.

Providing Constant Attention

The patients who are hospitalized and whose health status requires close attention can be monitored constantly using noninvasive, IoT driven monitoring. This kind of solution uses sensors to gather comprehensive physiological data and the cloud and gateways to examine and preserve the data and then send the examined information wirelessly to physicians for further analysis and review.

This eliminates the need for the doctor having to visit at regular intervals to check the vital signs of a patient, instead offering a continuous and automated flow of data. In this way, it enhances the quality of care via constant attention and lowers the cost involved by eliminating the need for a physician to engage actively in data gathering and analysis.

Building Trust

The connectivity of a healthcare system with the IoT places emphasis on the patient needs. This means timely intervention by doctors, enhanced accuracy in case of diagnosis, proactive treatments, and improved treatment outcomes result in a care that is highly accountable and gains trust among the patients.

Remote Patient Monitoring

All over the world, there are many people who face health issues due to lack of access to effective health monitoring. But, with the help of powerful, interrelated IoT solutions, monitoring the patients has become easier than ever.

These solutions can be utilized to capture the health data of a patient in a secure way from different sensors, make use of complex algorithms to examine the data and then share it via wireless connectivity with the physicians who can make proper health recommendations.

Reduced Costs

With the availability of real-time data from the connected healthcare solutions, the doctors can not only take better care of their patients but also lessen their number of visits to the patient as they can monitor their patients remotely. This decreases the overall health care costs as the costs involved in hospital stays and readmissions are cut down to a greater extent.

Configuring Emergency Alerts

Healthcare IoT allows care teams to gather and connect millions of data points regarding the personal fitness of a patient from wearables like activity, temperature, perspiration, sleep, and heart-rate. As a result, the information obtained from sensors can send out real-time alerts to caregivers and patients so they obtain event-triggered messaging such as triggers and alerts for elevated heart-rate and so on. This will hugely enhance workflow optimization and ensure all the care is handled from home.  

Challenges of IoT in Healthcare

The IoT continues to face challenges in spite of the promise of what it can achieve in healthcare. If these challenges are not addressed soon, they could put the IoT at risk of failure.

By intent and design, the IoT devices collect and transmit real-time data. The infrastructure required to receive and process this information should be designed and developed for scale. This means obtaining, processing, and storing data in real-time from millions of IoT devices and applying analytics to gain insights from this data. Unfortunately, most of the providers lack the know-how and infrastructure to access the data.

Also, most of the devices reporting healthcare data suffer from a lack of common security practices or standards. Due to this, many healthcare IT professionals have raised concerns about the risks associated with data breaches and IoT device tampering.

Other major challenges include lack of EHR system integration and lack of adoption of interoperability. Addressing these problems will further revolutionize the health industry as more organizations will start implementing IoT for their healthcare services.

Conclusion

Healthcare IoT is transforming the way the facilities are delivered to patients. In order to derive the true value of healthcare IoT, the interrelated healthcare devices and the processes that are supporting them must work as a joint system that is comprehensive, integrated, and secure. With healthcare IoT facing few challenges, the healthcare providers are hopeful that the IoT will have a positive impact on delivering valuable data and supporting patient care.  

Read more…

Despite the great promise of IoT to improve business and society, many think it’s being held back due to complexity and the associated lack of required skills to make it a success. Is it possible that the antidote to this complexity and skill shortage problem lies in the existing open standards and technologies that comprise the World Wide Web? In this podcast, Rob Tiffany makes the case for using existing W3C standards to power the Internet of Things.

Check it out at https://theinternetofthings.io/iot-podcast-can-the-web-save-the-internet-of-things/ 

-Rob

Read more…

The internet of things (IoT) is much more than the next step in consumer technologies — it also represents a significant leap forward for industries of all kinds.

Manufacturing is already — and will continue to be — a field almost uniquely suited to applying IoT technology. In fact, there's almost no part of the process that won't be touched in some way by this ever-expanding web of smart and interconnected sensors, computers and machines. No matter how large or small your operation is, it's increasingly difficult to understate the potential value of adding intelligence and oversight to your processes using the internet of things.

Here are four ways IoT is revolutionizing the field of manufacturing.

A Greater Degree of Competitiveness

According to a report published by Verizon in 2016, an overwhelming majority of manufacturing managers already consider IoT technology a critical competitive advantage. It's hard to believe that such a sea change happened practically overnight, but not quite so much when you realize what's at stake.

Suffice it to say, the IoT represents a bundle of industrial innovations that have been a long time coming. Most of the competitive advantages cited by the Verizon report have to do with parts of the manufacturing and business processes that required guesswork or drew from incomplete data sets. We're talking things like altering business processes based on current demand and future trends, optimizing longstanding workflows and responding to unforeseen events.

Technology powered by the IoT can make manufacturing companies more competitive by, among other things, granting some autonomy and automation to back-end processes that inform the rest of your employee processes and workflows. This type of automation could, for example, automatically flag product for shipment to another location based on current levels or even trip a slowdown on one production line to pivot to another product if future demand isn't expected to be there.

The result is a leaner business that can run circles around your more flat-footed competition, who might've been slow to adopt modern technologies. 

A Demystified Supply Chain

Gathering useful insights into the supply chain — that all-important web of manufacturers, shippers and vendors that makes modern production and order fulfillment possible — has been one of the most significant advantages of applying the IoT.

Of course, oversight into vendor and shipper processes is nothing new — but accessing it and making decisions in real-time is a relatively new innovation courtesy of the IoT. These days, every plant location and every party responsible for assembling or moving finished or in-progress merchandise enjoys a higher degree of transparency and collaboration thanks to remote monitoring technology, sensors along material handling paths and assembly lines, and more.

Perhaps most importantly, the availability of granular data at each stage lets each party know exactly what inventory levels look like, all the way up and down the supply chain. This is a significant innovation and a huge stride toward true lean and just-in-time manufacturing, not to mention seamless collaboration. Neither wasteful production methods nor products sitting idle that are needed elsewhere are long for this world, and it's all thanks to the IoT.

Automated Maintenance and Unsafe Operation Alerts

Even the very machines manufacturers use to fabricate and assemble new products are getting smarter thanks to the internet of things. Low-cost sensors are easier than ever for facilities to deploy on their critical machines and equipment, which can make the time and labor associated with ongoing maintenance far easier to manage.

Sensors on manufacturing and product handling equipment provide real-time alerts and analysis concerning the condition of the machine and its many moving parts. These sensors can also take the guesswork and scheduling out of regular equipment maintenance by sending an alert to the appropriate parties at regular intervals — or whenever the machine's onboard self-diagnostic tools detect an impending failure or fault.

The implications for manufacturing are enormous since no two organizations work under the same conditions and with the same equipment. IoT-powered condition-based alerts help facilities maintain the health of their machines, no matter where in the world they're located and no matter what the temperature and humidity are doing. Some devices are more finicky than others when it comes to environmental conditions, making no-hassle maintenance a considerable advantage.

Improved Safety Oversight

Before the industrial internet of things, key performance indicators for employee safety and work environment were commonly spread across several systems, including paper-based ones. This made it difficult for plant managers to get a good, top-down sense of where dangerous processes existed or what types of simple process changes might result in improvements.

The internet of things makes it possible to gather data concerning work accidents and near-misses, property damage, employee injury rates by process and more. It's quite common — and potentially even required — for modern business to track some of these data points as for various compliance purposes. However, it's less common to assemble them in one place and use modern digital technologies to draw actionable conclusions, isolate consistent trouble areas and drill down to causes.

Wearables are another safety-minded application of the IoT. Helmets and wristbands are being eyed as possible future locations for health-related sensors to keep track of workers' physical locations, temperatures, heart rates and more — all in service of rotating employees more regularly, keeping bodily stresses to a minimum and bolstering organizational safety as a whole.

Tomorrow's Technology Today

It's likely that the future will see even more IoT innovations for manufacturing. For right now, these four major improvement areas represent many opportunities for the modern business to revolutionize what they do and how they do it.

Read more…

Since its conception, IoT has been impacting numerous businesses in unprecedented ways than expected. IoT infrastructure market, one of contemporary niche verticals of the building construction and infrastructure development sphere, now holds the reputation of being encompassed among the many IoT influenced business spheres. The proliferation of the Internet of things in infrastructure development has led to the procreation of smart homes and cities, touted as a revolutionary phenomenon of the 21st century. With the rising demand for connectivity to enable smart security, social surveillance, smart transportation, energy safety, smart metering, and efficient governance for enhancing consumer lifestyle, IoT infrastructure industry is likely to garner much acclaim in the ensuing years. Estimates compiled in a recent IoT infrastructure market research report forecast this business space to have accumulated a valuation of close to USD 15 billion in 2016.

U.S. IoT infrastructure market, by application, 2016 & 2024 (USD Billion)

A succinct overview of IoT infrastructure market in terms of the application spectrum

IoT infrastructure industry outlook from smart homes

The proliferation of IoT in the home sector has brought about a barrage of changes in consumer standard of living. IoT-enabled homes offer some of the best advantages that can transform a person’s lifestyle across the urban space. Smart devices such as the Nest thermostat, Amazon Echo, smart fridges, Google Home, Wink Relay and Controller, etc., have been popularized across IoT infrastructure market and liberally deployed in smart homes, subject to their incredible benefits such as controlled energy consumption, automated notifications, weather alerts, etc. Fiercely vying with one another to consolidate their positions in IoT infrastructure industry, tech companies have been going the whole hog to introduce highly advanced connected devices for smart homes.

IoT infrastructure market outlook from smart buildings

The deployment of big data and IoT in smart buildings helps deliver actionable insights to improve consumer living comfort, optimize building operations, and reduce energy expenditure. The robust rise in the number of connected devices being installed in smart buildings bears evidence to the fact that IoT infrastructure industry share from smart buildings is likely to plummet in the years ahead. Companies have been planning strategies to brainstorm numerous connected devices for exploiting the potential of IoT in buildings. Recently for instance, Kone signed on a multi-year deal with IBM, with an aim to maneuver the IBM IoT Cloud Platform for connecting, monitoring, and optimizing building components such as doors, elevators, turnstiles, and escalators.

IoT infrastructure market outlook from smart cities

A recently compiled report depicts that close to 60% U.S. citizens prefer living in smart cities, given their incredible advantages. The rising proliferation of smart cities is evident from the incredible proportion of smart city projects that are being undertaken across myriad geographies – which may have a mammoth impact on the revenue graph of IoT infrastructure industry. The numerous advantages provided by smart cities with regards to planning, finance, energy safety, transportation, and other urban aspects have accelerated their demand and popularity across IoT infrastructure market. In consequence, tech behemoths have been signing public-private partnerships, that would lead to the generation of layered framework to address the many challenges of smart city projects by building effective, connected solutions.

The Internet of Things, conceived back in the 1980s at the Carnegie Mellon University, has now metamorphosed into a prodigy that defines efficiency, sustainability, and convenience. The deployment of this concept in infrastructure is likely to open up a plethora of opportunities for construction companies, real estate developers, technology behemoths, and infrastructure development firms, that would strive to brainstorm numerous solutions for connected infrastructure, augmenting IoT infrastructure industry trends. An IoT related report by a research firm claims close to 1.40 billion IoT units to be shipped ahead for smart city projects by 2020, for smart homes, smart buildings, smart transportation, sustainability and climate change. This provides ample evidence to the fact that IoT infrastructure market is here to stay, boasting of a widespread array of technologies, platforms, and applications. A report compiled by Global Market Insights, Inc., claims IoT infrastructure market size to surpass a valuation of more than USD 130 billion by 2024 – which is apparently close to 8.5 times its value in 2016.

Source:https://www.gminsights.com/industry-analysis/iot-infrastructure-market

Read more…