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


Featured Posts (575)

Do you know that the number of internet connected things will reach 75 billion in the year 2025 as per the reports released by Statista? Well, the report is not astonishing because we are well familiar with our day-to-day dependability on internet and technology.

 

Source: Statista

It is definitely not a sham that we can actually set the temperature of the air conditioner before actually entering the room. Or, can switch on or off the fan or other electronic devices through our smartphone. Things that were dreamt earlier now turned into reality and it is all possible with the Internet of Things or simply IoT.

What are Future Possibilities of IoT?

‘What is IoT’ is the most asked questions about the technology. It is the use of network sensors in physical devices to allow for remote monitoring and controlling. It has achieved massive grip in various fields like healthcare, banking, retail, manufacturing, consumer goods, etc. Businesses all over the world are looking for possible applications of IoT. Report by CSG quotes that ‘94% of businesses that have invested in IoT have already seen the return’. The report itself expounds the present and future of IoT.  

There is one very astonishing report about IoT by GSMA . It states that the US market doesn’t dominate IoT. China and Europe are ahead of the USA in global machine-to-machine connection (M2M) with 19% in total share. USA market and investors still have a great scope for IOT solutions.

Common Myths that are Veiling IoT

#1 IoT is About Consumer Devices and Connected Homes

User’s mobile being connected with the refrigerator or air conditioner can be one assumption when we say IoT but the reality is far away from this. Definitely, IoT has solved many daily purposes but B2B IoT is the desire of technology. Analytical prediction by Bian.com tells that B2B IoT segment will generate more than $300 billion by 2020 as compared to $150 billion of consumer applications.

#2 All IoT Devices Work Together

Devices that are connected with IoT works as per vendor protocols. Some vendors may allow direct access to the device whereas some may provide access to the information through a cloud interface. As a result, there is not always a surety that all connected devices will work together.

#3 IoT Provides Continuous Transition to Mobile Apps

As IoT runs on cloud there is a myth that there is limitless scope for the developers. IoT is the combination of cloud, big data, and connected devices. Still, more than 90% of big data is in a scattered form that makes the overall transition complex.

#4 IoT Will Lead to Rise in Machines

Whether it is the movie Terminator or any other sci-fi movie, they always targeted technologies like IoT. People have generated the mind-set that IoT has increased the dependence of machine in human life. But the reality is IoT is making the devices smarter. It just adds like the fuel in the fire. It provides the capability of devices to take the decision on their own. For example, a device that will examine the field and would detect the area where watering is required is one thing. But, the same device watering the required area is the specialized feature. This is the impact of technology.

#5 IoT is Not Safe to Use

The safety concern is another big myth that surrounds the world of IoT technology. There are people who believe that the connected devices would enhance security concerns as they have access to the complete database. This is wrong because IoT aims in making the life of users simple by delivering faster results with cognitive computing. So there is nothing like sharing database.

#6 IoT is All about Sensors

People have the belief that it is all about sensors and things. But the reality is that it is beyond that. There are gateways, hubs, repeaters, cloud, application, software that is managed and supported by IoT. So, the world of IoT is bigger than what people think of it.

#7 IoT Device can be Hacked Remotely

Not locally nor remotely the IoT device can be hacked. Apart from SSL and encryption of data, there are countless other services on which the connected devices work. Not everything in IoT solutions can be hacked. Only a few vulnerabilities are there to work on.  

#8 IoT Solution can be Delivered Easily

As there are open source tools used in IoT people believe that the solution can be delivered very easily. There are many vendors that are selling IoT solutions. Providing solutions and services are two different things. Creating an app and creating complete IoT solution are two different things. There are different critical stages to deliver a meaningful solution that would be business viable, technically feasible and would make sense for customers.

#9 IoT Devices Must-Have Wireless Security

In order to connect with the host in the cloud, router or peer IoT device need some level of connectivity. But, it is not always necessary that the device should be wireless. It can be connected through Ethernet or USB whatever the device supports.

Business Tips for Investors Looking forward to Capitalise in IoT Technology

Technology that creates buzz one day becomes redundant. Businesses that are looking forward to investing in IoT must know about the challenges that they can face. Here are the few best tips that will help investors to make the right selection.

Choose Mode of Connection Wisely: Depending on the specific requirement businesses need to decide on the mode of connection that would be used. Whether it is Bluetooth technology or Wi-Fi choose the one that solves your purpose of technology.

Hardware Compatibility with Technology: Hardware compatibility issues happen frequently with IoT technology. It is necessary to find out if the technology is compatible with the hardware you are selecting or not.

Platform: In functionality and concerns both Apple and Google differ from each other. You should have a clear line of sight before you finalize a platform and should know well about the compatibility of the technology with the platform.

IoT Framework: There are many security aspects of IoT that came into existence till date. In order to avoid any kind of plights, it is suggested that building a framework from scratch is the best possible solution. Doing so one may skip the security issues as faced in the previous framework if any.

The Bottom Line

Businesses are looking forward to  iot development because they are aware of the bright future of technology. But, there are myths that block their path. Definitely, the debunked myths will aid the investors to make the right decision. Many software development companies provide 30 minutes of free consultation for those who are keen on the tech. Users can contact them and clear all their doubts regarding the technology.

Read more…

E-commerce, much like every product of technological evolution, has made headway at a mind-boggling pace. Here are some stats that will help you gain a better perspective on this industry: e-commerce sales stood at $1.86 trillion in 2016. Also, researchers believe that this figure will grow up to $4.48 trillion in two more years, i.e., by 2021. While multiple factors contribute and continue to drive this fast-paced growth, there is no one that not many people pay close attention to the Internet of Things.

IoT has quietly revolutionized the e-commerce market by facilitating significantly better logistics as well as an enhanced user experience. It isn't surprising though -- especially when you consider the fact that over 30 billion devices are set to become 'connected' by next year. A constantly growing network of such devices means IoT has helped e-commerce businesses to not only deliver better products and services but also achieve better outcomes with their marketing initiatives and enhance customer's overall experience among other things.

Here's a closer look at what IoT means for e-commerce and how it enables companies in this sector to achieve robust growth.
1. Better inventory management: Managing inventory is an understandably challenging task when there are multiple warehouses involved. IoT has tackled that issue with the provision of things such as 'smart' shelves, which track the products sold and automatically place orders when products, especially high-performing ones, are about to go out of stock. It, in turn, boosts the levels of customer satisfaction.

2. Transformed consumer experience: IoT allows companies to leverage devices such as smart mirrors to allow clients to try out their products from the comfort of their home, thus delivering completely novel and distinctive customer experience. IoT can also be used to glean insights from social media platforms to understand which of the company's products are preferred and if there are any issues customers face. Implementing such data facilitates a deep shopping experience, resulting in better customer engagement as well as satisfaction.

3. Enhanced product ecosystem: Sensors, a crucial part of the phenomenon that is IoT, can be utilized to foster new opportunities for better product ecosystems. Furthermore, it can be used to provide customers with access to maintenance services or perhaps even recommending related products and services once the sale has been made.

4. Seamless delivery: Bigwigs from a broad variety of industries, including Amazon, are already using IoT to streamline their delivery processes. How? For starters, there are autonomous warehouse robots, which can be integrated with the business' warehouse management systems and then used to enhance order picking throughput, improve the warehouse's inventory density, and cut down labor costs among other things. All of these factors, together, help ensure a substantially more organized delivery system.

While IoT has already changed the face of the e-commerce industry, in the future it will further enable companies to better their marketing efforts, deliver better support to customers, and more, resulting in superior experiences for customers. So if you too want to jump on this bandwagon, we suggest you select a trusted e-commerce websites development company at the earliest possible.

Read more…

At differnet layers, IoT and connected devices uses different communication and messaging protocols. While developing an IoT device, the selection of the protocol largely depends on the type, layer and function to be performed by the device. 

In today’s time, networking with smart devices and IoT is increasing largely due to the ongoing technological revolution across the globe. People are increasingly using IoT and connected devices to automate industrial operations, control city traffic, track health, control home appliances, manage the fleet of vehicles, etc. Smart devices like phones, wearable devices, kiosks, appliances, and automobiles use the internet to connect with other devices and exchange information and data with servers to perform different operations.

There are two ways these devices can connect to the internet. Some devices may connect through a gateway, while others may have network capability built into the devices itself. It is interesting to note here that for establishing the connection with the internet, these devices use messaging and communication protocols at each layer of the Open Systems Interconnection (OSI) model. Depending on the function of the device, the communication protocol at each layer varies.

When it comes to selecting a protocol for the application layer of the IoT system, there are several protocols available. However, the most common types of IoT application protocols include, MQTT, XMPP, DDS, AMQP, and CoAP.

MQTT (Message Queue Telemetry Transport)

MQTT is a machine-to-machine (M2M) protocol. It is a publish-subscribe-based messaging protocol, used to communicate device data to the servers. The main purpose of MQTT is to manage IoT devices remotely. It is mainly used when a huge network of small devices needs to be monitored or managed via Internet i.e. parking sensors, underwater lines, energy grid, etc.

It should be noted that not all control packets have the variable headers and payload. A payload can be up to 256 MB. The small header overhead in MQTT makes this protocol appropriate for IoT.

Pros:

  • Lightweight for constrained networks
  • Flexibility to choose Quality of Services with the given functionality
  • Standardized by OASIS Technical Committee
  • Easy and quick to implement

Cons:

  • High power consumption due to the TCP-based connection
  • Lack of encryption

Use Case:

A parking lot where there are a number of parking sensors installed to identify the number and location of empty or vacant parking spots.

XMPP (Extensible Messaging and Presence Protocol)

XMPP was originally developed as a messaging protocol known as Jabber. It uses an XML format for messaging. The main feature of this protocol is its addressing mechanism. It identifies the devices/nodes in the IoT network using the address known as Jabber ID (JID). JID follows the standard i.e. [email protected] This addressing mechanism enables two nodes to exchange information, regardless of how far the nodes are in the network.

XMPP messages are usually transmitted over the underlying TCP connection. It uses a polling mechanism to identify the destination of the message. XMPP is implemented using a client-server architecture. The client starts an XML stream by sending an opening <stream> tag. The server then replies with an XML stream back to the client. Since XMPP is an open protocol, anyone can have their own XMPP server in their network without necessarily connecting to the internet.

 

Pros:

  • Addressing scheme to identify devices on the network
  • Client-server architecture

Cons:

  • Text-based messaging, no end-to-end encryption provision
  • No Quality of Service provision

Use Case:

  • A smart thermostat that can be accessed from a smartphone via a web server.
  • A gaming console with instant messaging between the two online players.

DDS (Data Distribution Service)

DDS is also based on a publish-subscribe model. DDS connects the devices directly, unlike MQTT, which connects them to the server. This is why DDS is faster than MQTT. Apparently, it can deliver millions of messages to a number of different receivers in seconds as it eliminates the communication with the server. DDS can be utilized for providing device-to-device communication over the data bus.

It provides detailed Quality of Service and reliability.

Pros:

  • Based on a simple “publish-subscribe” communication paradigm
  • Flexible and adaptable architecture that supports “auto-discovery” of new or stale endpoint applications
  • Low overhead — can be used with high-performance systems
  • Deterministic data delivery
  • Dynamically scalable
  • Efficient use of transport bandwidth

 Use Case:

Military systems, wind farms, hospital integration, medical imaging, asset-tracking systems and automotive test and safety.

 

AMQP (Advanced Message Queuing Protocol)

Advanced Message Queuing Protocol (AMQP) is an open standard application layer protocol for sending transactional messages between servers. As a message-centric middleware, it can process thousands of reliable queued transactions.

AMQP is focused on not losing messages as messages can be transferred using TCP or UDP. The use of TCP provides a reliable point-to-point connection. Further, endpoints must acknowledge the acceptance of each message. The standard also describes an optional transaction mode with a formal multiphase commit sequence. True to its origins in the banking industry, AMQP focuses on tracking messages and ensuring each message is delivered as intended, regardless of failures or reboots.

Pros:

  • Messages can be sent over TCP and UDP
  • Provides end-to-end encryption

Cons:

  • Relatively high resource utilization i.e. power and memory usage

Use Case:

AMQP is mostly used in business messaging. It usually defines devices like mobile handsets, communicating with back-office data centers.

CoAP (Constrained Application Protocol)

CoAP is an application layer protocol with a client-server architecture. It is a document transfer protocol, which runs over UDP (User Datagram Protocol). It is specifically developed for the resource-constrained devices. Clients and servers communicate through connectionless datagrams. It is useful in low power application as it uses minimal resources. DTLS (derivation of SSL protocol) can be used for security of the messages.

 

Pros:

  • Use of DTLS for security
  • Fast device-to-device communication
  • Smaller packet size
  • Well-designed protocol

Cons:

  • No broadcast message facility as it is a one-to-one protocol
  • Reliability is application’s responsibility

Use Case:

Smart energy grids and smart homes.

Conclusion

All the above-listed protocols are uniquely applicable to different operating scenarios. Any protocol can be handpicked based on their pros and cons for IoT application development. The main factors to consider while choosing any one of them for your application is quality of service, security, and reliability your application requires.

Read more…

 

A new wave of technologies, such as the Internet of Things (IoT), blockchain and artificial intelligence (AI), is transforming cities into smart cities. Many of these cities are building innovation labs and zones as part of their new civic landscape. Smart city innovation labs are vital components of the smart city ecosystem (Figure One). They provide an organized structure for cities, communities, experts, and vendors to come together to create solutions. Successful solutions piloted in smart city innovation labs are then scaled and deployed into a city’s operations and infrastructure.

Figure One. Strategy of Things Smart City Ecosystem Framework.

 
Many municipalities are considering and planning smart city innovation labs today. Over the past year, we helped to create, launch and operationalize San Mateo County’s Smart Region innovation lab (SMC Labs). From this experience, we share ten best practices for civic innovation leaders and smart city planners.
 
 
Ten Smart City Innovation Lab Best Practices
 

Develop a well defined innovation sandbox. Every smart city innovation lab has an unique mission. That mission is specific to its community, capabilities, priorities, and surrounding ecosystem. However, it is easy to get distracted and work on the “next shiny object”, vanity projects and “me too” innovation pilots. These projects don’t add value, but take resources and focus away from the problems the lab was created to address.

Build innovation discipline and focus by defining a “sandbox” from the start and updating it annually. The innovation sandbox defines clearly what types of projects are in-scope and which ones are not. The criteria includes alignment with city or department priorities, problem set type, problem owner(s) or sponsors, budget availability, cost, resource requirements, and organizational jurisdiction.

 

Create procurement policies and processes for innovation projects. Innovation pilots fall outside the “sandbox” municipal procurement processes and policies operate in. These pilots may work with start-ups with limited operating history, use immature and evolving technology, or bought in non-traditional ways (“as a service”, loans, etc.). This mismatch leads to higher risks, extra work and long sourcing times. Due to this, many vendors choose not to work with cities.

Effective smart city innovation labs are agile and responsive. They employ new procurement policies and practices designed specifically for the unique needs of innovation projects. This includes simplified processes and compliance requirements, new risk management approaches, faster payment cycles and onboarding models.

 

Build a well defined plan for every innovation project. Many innovation pilots are “successful” during the pilot phase, but fail during the scaling phase. This is because the pilots were not fully thought out at the start. Some test a specific technology or solution, and not the approaches. Others test the wrong things (or not enough of the right things). Some are tested in conditions that are not truly reflective of the environment it will be deployed into. Still others don’t test extensively enough, or over a sufficient range of conditions.

Successful projects in smart city innovation labs involve extensive planning, cross-department collaboration, and a comprehensive review process throughout its lifecycle. They have well defined problem statements. They define a targeted and measurable outcome, a detailed set of test requirements and specific success criteria. While innovation projects contain uncertainty, minimize project execution uncertainties with “tried and true” project management plans and processes.

 

Continuously drive broad support for the lab. A successful civic innovation lab thrives on active support, collaboration and engagement from stakeholders across the civic ecosystem. However, many city departments and agencies operate in silos. Launching and having an innovation lab doesn’t mean that everyone knows about it, actively funnel projects to it, or support and engage with it.

Successful smart city innovation labs proactively drive awareness, interest and support from city leaders, agencies, and the community. This includes success stories, progress updates, technology briefings and demonstrations, project solicitations, and trainings. They engage with city and agency leaders regularly, host lab open houses and community tours. They conduct press and social media awareness campaigns. Regardless of the “who, how and what” of the outreach, the key is to do it regularly internally and externally.

 

Measure the things that matter - outcomes. There are many metrics that an innovation lab can be measured on. These range from the number of projects completed, organizations engaged, number of partnerships, investments and expenses, and so on. Ultimately, the only innovation lab metric that truly matters is to be able to answer the following question - “what real world difference has the lab made that justifies its continuing existence and funding?”.

All innovation lab projects focus on solving the problem at hand. It must quantify the impact of any solutions created. For example, many cities are monitoring air quality. A people counting sensor, mounted alongside an air quality sensor, quantifies the number of people impacted. Any corrective measures developed as a result of this project can now point to a quantifiable outcome.

 

Build an innovation partner ecosystem. A smart city innovation lab cannot address the city’s innovation needs by itself. A city is a complex ecosystem comprising multiple and diverse domains. Technologies are emerging and evolving rapidly. New digital skills, from software programming to data science, are required to build and operate the new smart city.

Successful smart city innovation labs complement their internal capabilities and resources by building an ecosystem of strategic and specialist partners and solutions providers, and subject matter experts. These partners are identified ahead of time, onboarded and then brought in on an as-needed basis to support projects and activities as needed. This model requires the lab to build strong partnership competence, processes, policies and the appropriate contract vehicles. In addition, the lab must continuously scan the innovation ecosystem, identify and recruit new partners ahead of the need.

 

Test approaches, not vendors or solutions. Real world city problems are complex. There is no magic “one size fits all” solution. For example, smart parking systems use sensor based and camera based approaches. In some cases, both approaches work equally well. In other cases, one or the other will work better. A common innovation mistake is to only test one approach or fall in love with a specific vendor solution and draw a generalized conclusion.

Effective innovation lab projects focus on testing various approaches (not vendors) in order to solve problems effectively. Given the rapid pace of technology evolution, take the time to identify, test and characterize the various solution approaches instead.

 

Employ a multi-connectivity smart city strategy. There are many options for smart city connectivity. These include, but not limited to cellular 3G/4G, Wi-Fi, LoRaWAN, SigFox, NB-IoT and Bluetooth, and so on. Use cases and solutions are now emerging to support these options. However, some smart city technologies in the marketplace work on one, while others work on more. There is no “one size fits all” connectivity method that works everywhere, every time, with everything.

To be effective, smart city innovation labs need to support several of these options. The reality is that there is not enough information to know which options work best for what applications, and when. What works in one city or region, may not work in another. Pilot projects test a possible solution, as well as the connectivity approach to that solution.

 

Make small innovation investments and spread them around. Open an innovation lab and a long line of solutions vendors will show up. Everyone has a potential solution that will solve a particular problem. Some of these solutions may even work. Unfortunately, there is not enough budget to look at every solution and solve every problem.

Focus on making smaller, but more investments around several areas. Overinvesting in one vendor or one approach, in a market where technologies are immature and still evolving, is not wise. Invest enough to confirm the pilot outcomes. A more detailed evaluation of the various solutions and vendors should be made when the pilot moves out of the innovation lab and into a formal procurement and RFP phase.

 

Simplify administrative and non-innovation workloads. While innovation pilot projects are challenging, interesting and even fun, administering and managing the projects are not. These unavoidable tasks range include managing inbound requests, proposals and ongoing projects. These tasks increasingly consume time and resources away from the core innovation activities.

Effective smart city innovation labs get ahead of this by organizing, simplifying and automating administrative activities right from the start. For example, SMC Labs reviews inbound proposals once a week and organizes follow up calls and meetings on a specific day once every two weeks. In addition, the lab uses a tracking and pilot management tool (Urban Leap) to track innovation projects. Administrative and management activities are unavoidable. However, advanced planning and tools help reduce the burden to keep the lab's focus on innovation.

 

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

Read more…

We’ve heard a great deal about the Internet of Things (IoT) and how it’s going to change the face of business as we know it. However, the Industrial Internet of Things (IIoT) goes a step further, particularly with reference to how smart sensors and actuators can enhance and improve the manufacturing and industrial processes. So, what exactly is the IIoT and how will it really change every business? Read on to find out more.

 

What is Industrial IoT?

To put it simply, the IIoT aims to dramatically improve efficiency and productivity within the industrial industry. It leverages the power of smart machines and sensors to take advantage of the data that machines have produced in industrial settings since they began. The combination of real-time analytics and smart machines is not only better than humans at capturing data, but it’s also more accurate in reporting the information.

How it Works

Though it sounds rather complicated, in practice, it’s really quite simple. This network of intelligent devices will work together to monitor, collect and analyse data. It works like so:

  • The intelligent devices gather information
  • They then transmit this to the data communications infrastructure
  • It’s converted into actionable information for humans
  • This can be used for routine maintenance as well as optimising business processes

 

IIoT vs IoT – What’s the Difference?

IIoT and IoT undoubtedly have plenty in common, from cloud platforms, sensors and connectivity to machine communication and analytics. However, there are a few differentiating factors. For example, IoT applications connect devices across multiple fields – between healthcare, agriculture and enterprise for instance. IIoT, on the other hand, only connects machines and devices within specific industries such as oil, gas and manufacturing.



What Are the Benefits?

Though the technology has received inordinate amounts of funding, technical due diligence is still frequently required from some sceptics. On the whole, however, there are many positives that investors simply cannot ignore.

One of the main benefits is the aforementioned predictive maintenance. This will almost allow industrial businesses to operate like clock-work. It will predict faults in machinery before they actually happen, allowing for swift work in fixing any issues. This prevents losing any time from production due to a defective machine which may have previously cost the business money.

A further benefit is asset tracking. Now, suppliers, manufacturers and even customers can use asset management systems to monitor the location and status of products throughout their life cycle. This will include everything from manufacturing to dispatch. It can send alerts to various stakeholders if it’s thought that the product might be damaged, allowing them to take preventative action before it’s too late.

What is the Future of IIoT

Interestingly, the top three industries investing in IIoT are transportation, manufacturing and utilities. Where some businesses may be reluctant to adopt new technology, it seems that the IIoT is different. It’s an exciting prospect, which continues to accumulate more appeal across the globe as it develops. Time will tell just how quickly this technology will change the way many industries operate.



Read more…

Studies that by next year, we will have more than 20 billion IoT devices connected to the internet. Also, that's not just limited to, say, mobile devices or even household device. The evolution of IoT has come to the point that we now also have vehicles that are connected to the internet, as carmakers strive to give their customers better creature comforts and conveniences within their automobiles. So, you can see, that the Internet of Things (IoT) offers immense possibilities for web development as more and more such devices come online.


How? It is quite simple. First, the nexus of IoT devices depends on web servers. Then there's also the data gathered from the sensors, which is saved in the cloud. So how do you think the connected devices communicate with each other? They rely on experimental messaging protocols. Finally, users need a UI to engage with the connected devices. Long story short, web development is a critical part of IoT.


Now, let's get into the details of how IoT has already and continues to revolutionize web development.
1. Data collection: One of the essential elements of IoT devices is the massive amounts of data they work with. The tools gather real-time data from sensors, then filter and process them, before relaying it to the cloud and back again. In the context of web development, this data can be leveraged to fine-tune the web development project, allowing companies to offer products and services that improve with time.
2. User interface: Since IoT devices depend on dynamic UIs to serve the individual needs of various users means that web developers must now take an entirely new approach to design UI. The micromanagement of the UI necessary for correctly displaying all types of data results in IoT devices offering multitasking abilities and overall versatility to users.
3. Enhanced focus on security: While it is miserable to realize, the truth remains that IoT devices, despite their prevalence, suffer at the hands of lack of robust security. It is one of the biggest reasons why users are still reluctant to embrace them. Thankfully, the solution to this conundrum is found in web development. Developers can help fortify IoT devices by integrating certain security features in their code. It can include user identification, identity verification, access management and more.
4. Hybridization of development teams: Ask any developer and will tell you that a hybrid team is practically a death knell for the development project. Nonetheless, work requires completion when IoT is involved. To deliver successful IoT web app development projects, web designers must work together with experts proficient in IoT. It will allow them to concatenate code with the data.


One may be inclined to deem the impact of IoT on web app development as damaging, but you still can't deny that every time such integrated event occurs, it eventually leads to ultra-modern technologies that profoundly affect and transform our way of life even further.

Read more…

According to global management consulting firm Bain & Company, long-term prospects for the industrial Internet of Things remain ambitious. However, many executives are resetting timeline expectations for reaching scale due to early adoption struggles. Notably, certain “darlings of IoT” like predictive maintenance have not lived up to the hype. And while Bain’s survey of 600 industrial customers shows increasing traction with ‘workhorse’ scenarios like remote monitoring and asset tracking, it exposes areas where many teams and vendors are struggling to deliver the goods. In the end, an iterative strategy focused on specific business outcomes remains critical.

Notably, Bain’s survey finds increasing concerns around integration with existing enterprise systems and data portability. Executives worry their visions for digital transformation will be restricted by internal skill gaps and proprietary vendor services. Understandably, they fear losing control of any data not managed by their own enterprise IT departments. Despite this, confidence remains high that an estimated 20 billion devices will be successfully connected by 2020.

Many executives feel the value proposition for industrial IoT is still emerging. For them, the ability to capitalize on this value and achieve better business results remains elusive. To address these challenges, Bain calls for organizations to build a new operating model and position themselves for long-term success in a connected world.

Recommendations for accelerating IoT adoption in the enterprise

First, Bain recommends industrial organizations choose specific, high-value use cases to tackle upfront. Prove out your ability to address security and other valid IT concerns. Then, adopt an iterative approach for demonstrating ROI and ease of enterprise integration.

Second, use experienced partners to address your gaps. Don’t try building everything yourself. Differentiation comes from the combination of acquired data with your industry-specific domain knowledge. We’ve seen manufacturing digital transformation initiatives stall out when internal engineering teams try to build their own IoT infrastructure. Software for collecting data (and system integration services) can be bought. Build your value, not your tools.  

Third, don’t expect overnight success. You’re building up organizational capabilities and working with a new set of specialized partners. Commit to a realistic investment timeline and prepare for change. You’ll likely need to bring in new, more entrepreneurial talent to drive your connected business model. At a minimum, empower your existing teams to think differently. Remember, you’re not rolling out a new CRM application. You’re transforming your enterprise. Act accordingly.

Fourth, industrial IoT revenue starts at the top. Executives must ensure the entire organization is aligned for transition to the new operating model. This requires both vision and clear communication. Unsurprisingly, those responsible for existing products and revenue streams fear cannibalization. Furthermore, IoT initiatives take time to meet traditional P&L requirements. If executives don’t create an environment where the new operating model can take root, prevailing forces will prevent its maturation while competitors move ahead.      

Prepare to scale the business

Eventually companies reach the point on their digital transformation journey where they’ve proven out their connected product technology and business concepts. Now what? Bain concludes with a method for assessing readiness to scale up your industrial IoT efforts.

To begin, how well do you understand the full potential of industrial IoT to your enterprise? IoT can dramatically impact the quality of manufactured products, service offerings, maintenance  procedures, and other areas of your enterprise. But what will this cost, and what will revenue look like once the system is deployed to production and fully commercialized?

Never forget, your competitors aren’t standing still. You can be sure they’re working on their own industrial IoT initiatives. What is your plan to win in this new arena?

Additionally, scaling IoT requires incentives alignment and coordinated execution across the enterprise. Engineering, IT, service, sales, and business teams must work together for organizations to realize the benefits of digital transformation. Make sure everyone understands their part and is rowing in the same direction.

Bain summarizes their last recommendation with a sentiment that we refer to as “strategy over software.” By strategy, we mean not just a plan, but a comprehensive roadmap, organization structure, and business model across the enterprise to support the success of your industrial IoT initiative.

Digital transformation is a journey

As you start your journey, you’re going to need an industrial IoT platform. Whether it makes sense to build your own or buy one depends on a variety of factors. But digital transformation isn’t just about technology. As Bain notes repeatedly, it’s about so much more. Business models and sales strategies, along with clear user stories, team roles, and responsibilities are equally critical to successful IoT initiatives. Beyond a platform, an experienced digital transformation partner can accelerate planning, implementation, and successful commercialization of your connected systems.

 
Read more…

The IoT Brings Smart Cities to Life

Guest article by Richard van Hooijdonk

In around 30 years, planet Earth will be home to almost ten billion people, 68 per cent of which will live in urban areas. And those urban areas will face a torrent of problems, as authorities will have to rely on limited resources to provide public services to a growing number of citizens. Besides traffic congestion and the potential rise in crime rates, rapid urbanization could also lead to a number of environmental problems like air pollution and overwhelmed waste collection systems. To tackle these challenges and make cities more liveable and manageable, governments are increasingly turning to the smart city concept.

At the heart of this approach is the use of technology to improve public services such as transportation, water systems, waste disposal, and many others. And among all the technologies smart cities deploy, the Internet of Things stands out as the most important, as it’s a network of sensors and connected devices that collect data critical for understanding how urban areas function. As Stephen Brobst, the chief technology officer of Teradata, a big data analytics company, says, the IoT enables us to “get a view of the whole city across these different domains of the life of the city as it’s captured in the sensor data.”

The many ways in which the IoT helps smart cities

Investments in smart cities are ramping up across the world and are expected to grow from $80 billion this year to $135 billion by 2021. Part of that money is allocated for IoT projects that help governments and residents to increase energy efficiency, improve traffic flow, reduce pollution, cut costs, and enjoy a number of other benefits. In other words, the IoT helps smart cities to achieve many of their key goals. Take, for example, the problem of traffic congestion in cities, which is in large part caused by drivers looking for parking space. IoT sensors embedded into the city’s streets, as in the case of Barcelona, can detect empty parking spots and alert drivers through a smartphone app. This helps people park their cars faster, saving time and fuel while reducing harmful emissions.

Many smart cities also tend to promote bike-sharing services as a way to reduce pollution and congestion, but bike theft could be an obstacle for that plan. One way IoT tech can help solve this issue is through technology such as Bitlock, a keyless bike lock that’s unlocked by the user’s smartphone and tracks the GPS location of the bike. This will help police potentially track and recover stolen bikes, while also allowing private and public organizations to analyze bike traffic patterns and find ways to improve the service.

IoT technology is also efficient in tracking and analyzing water use in buildings. For instance, Banyan Water, a smart water management company, claims it’s helped customers to save more than seven billion liters of water since its inception in 2011. The way it does this is by placing sensors and ultrasonic meters that track water consumption across the building, using software to analyze the gathered data and find anomalies such as leaks and overspend.

Municipal waste management companies could benefit from the IoT, too, by placing sensors in waste collection sites, and instead of adhering to strict schedules, dispatching haulers only when collection is really needed. This could cut “overhead for waste makers by up to a whopping 60 percent.”

Things to keep in mind when implementing IoT projects
Clearly, IoT technology can improve lives in urban areas in many different ways, but simply implementing the latest tech won’t necessarily make a city ‘smart’. Marc Jadoul, the head of IoT market development at Nokia, explains that even before the first sensor is installed, the authorities must define their future objectives and budget. The next step is to create broadband internet and IoT infrastructure that can sustain increased traffic. Jadoul also suggests that the authorities need to “think big, but start small” and “identify appropriate milestones and metrics” to be able to monitor their progress. Lastly, technology isn’t the goal, but rather an instrument to make people’s lives better and more connected. To that end, the authorities should promote citizens’ engagement in ‘smart’ projects by asking for their feedback and informing them of the progress. After all, “it’s citizens’ acceptance and engagement that will eventually determine success or failure of any smart city initiative,” Jadoul concludes.

Two key challenges for the IoT and smart cities
And while authorities and citizens see smart cities as a way to live better lives, hackers see them as a potential target. The wealth of data and sensitive services that connected devices produce can be abused by bad actors to disrupt a city’s operations. For instance, imagine if cyber-attacks crippled a traffic light system or a water filtration plant and the hackers asked for ransom. This makes cyber-security one of the key priorities of any smart city endeavour. Another challenge for authorities is the need to buy expensive servers, sensors, high-speed internet networks, and a range of other equipment. Many cities struggle to find the money, although IoT projects could lead to cost savings “to the tune of $2.3 trillion in efficiencies created and revenue generated worldwide by 2024.”

Just rolling out the tech won’t be enough
As our planet becomes increasingly crowded and more people flood to cities, authorities will be under pressure to provide public services to an ever-growing number of citizens and offset the negative consequences of urbanization. Technology such as the IoT and the concept of smart cities might be a solution and a way to fight traffic congestion, pollution, inadequate water systems, and a number of other problems. But for this approach to succeed, citizen acceptance and engagement is crucial, as simply rolling out the tech won’t be enough.

Author: Richard van Hooijdonk
International keynote speaker, trend watcher and futurist Richard van Hooijdonk offers inspiring lectures on how technology impacts the way we live, work and do business. Over 420,000 people have already attended his renowned inspiration sessions, in the Netherlands as well as abroad. He works together with RTL television and presents the weekly radio program ‘Mindshift’ on BNR news radio. Van Hooijdonk is also a guest lecturer at Nyenrode and Erasmus Universities. https://www.richardvanhooijdonk.com

 

 

 

 

Sources:

Cover photo by https://www.shutterstock.com/g/yingyaipumi

Azevedo, Mary Ann, https://newsroom.cisco.com/feature-content?type=webcontent&articleId=1868607.

Giarratana, Chris, https://www.trafficsafetystore.com/blog/how-iot-technology-is-creating-the-future-smart-cities/.

Glaeser, Edward and Helen Dempster, https://www.theigc.org/reader/contagion-crime-and-congestion-overcoming-the-downsides-of-density/cities-and-urbanisation-encourage-economic-growth-in-the-developing-world/.

Horwitz, Lauren, https://www.cisco.com/c/en/us/solutions/internet-of-things/smart-city-infrastructure-guide.html.

Ismail, Nick, https://www.information-age.com/smart-city-technology-123473905/.

Jadoul, Marc, https://www.nokia.com/blog/10-recommendations-creating-smart-city/.

Maddox, Teena, https://www.techrepublic.com/article/smart-cities-expected-to-invest-80b-in-technologies-in-2018/.

https://www.nationalgeographic.com/environment/habitats/urban-threats/.

http://www.sensanetworks.com/blog/waste-management-gets-sexy-smart-sensor-tech/

https://www.un.org/development/desa/en/news/population/world-population-prospects-2017.html.

https://www.un.org/development/desa/en/news/population/2018-revision-of-world-urbanization-prospects.html.

 

Read more…
The benefits of using Edge Computing / Machine Learning solutions are very attractive to manufacturers because allows minimize latency, conserve network bandwidth, operate reliably with quick decisions, collect and secure a wide range of data, and move data to the best place for processing with better analysis and insights of local data.
Read more…

Plenty of companies yearn to integrate cloud computing with their IT infrastructure but feel hesitant to do so due to concerns about data security. A lot of public cloud host service providers make use of the same hardware infrastructure to manage the needs of various clients which can compromise the security of data systems.

 

However, it is possible to hire the expertise of private cloud computing companies as they follow data security methods that can work for HIPAA and PCI-sensitive organizations. By getting private cloud computing solutions, companies can have greater control over their data security needs.

 

Here are 5 handy tips for implementing cloud computing concepts while maintaining the highest levels of security.

  1. The first thing that you need to keep in mind is the location of your data. Unless you know the location of your data, it won’t be possible for you to secure it. While it is still important for you to use technologies like firewall, data encryption, and intrusion detection methods, knowing your data’s location allow you to prevent security breaches when the cloud system stops working. You should be able to use dedicated hardware to implement stringent security parameters for your data that you share through cloud computing.
  2. Make sure that you keep your data perfectly backed up. When you take backups of your data, you can be sure of the fact that your data is safe against any kind of losses. This can also help you secure all important information about your business and provide you with the peace of mind that you seek.
  3. The data centers that you choose to work with for your company should always take data security in a serious manner. They should be able to implement the best security measures in the servers in which your data is kept. It is important that they are PCI or HIPAA certified and SSAE 16, SOC 2 and SAS 70 audited. Managed services like intrusion detection, firewalls and antivirus can really work out well for you by making your data, applications, and enterprise more resilient.
  4. A good way to ensure security for your data would be to check out the clients that a cloud service provider has worked with. By seeing whether the cloud provider has already worked with clients in the past requiring critical and stringent security measures, it is possible for you to make sure that your data is in good hands. Organizations operating in the financial, insurance, healthcare and government sectors are certainly good examples requiring high-end data security. By contacting these companies, you can be sure if they offer excellent data security.
  5. It is important that you also carry out detailed tests to ensure that the cloud systems are equipped with the best security features.

 

These are the top 5 and most important cloud computing security tips that many app development companies india agencies are adopting in their development and implementation processes so as to have better security for their product or services.

Read more…

Digital Transformation is now a number one priority for many businesses. Over the past two years, businesses have put increased focus on digitally transforming their brands from the inside out.

 It is an ongoing process of change based on the market and the needs of the customers. To deliver this change successfully, there is a need to establish a clear vision with objectives & expected outcomes.

 Simply put vision is a picture of how the organization will look like after stipulated time.

 Importance of Vision:

 ·      Provides the big picture and clearly describes what your organization will be like in several years

·      Clarifies the right direction of change to ensure that everyone is moving forward

·      Inspires everyone to take action in the set direction

·      Synchronizes the action of different people. It provides self-sufficiency to individuals and teams while reducing conflicts.

 

There are some do’s & don’ts for setting up a vision:

 

Do’s:

·      Develop a Vision that is in line with the company growth strategy.

·      Connect with partners who support your vision, not only third-party technology vendors but your own customers and employees

·      It should create the sense of urgency

·      Link vision to specific goals in future

·      Describe how the company will actually change

·      How will you engage differently with customers?

 

Don’ts:

·      It remains only as floor branding and marketing

·      Restricting the employees with set vision & its boundaries

·      Vision is way too complicated, vague and lacking actionable initiatives

·      Poor communication of the vision beyond the involved few stakeholders

·      Setup the vision before analyzing current systems and operations

 

Vision brings in the cultural change that is required for Digital Transformation. People are extremely important in this roller-coaster ride. 

  

When the digital vision is not clear, that affects the speed of adoption of both senior management and middle management. People will not act just because technology is ready. 

 Some successful vision statements, which helped companies in their digital transformation:

 Google - To provide access to the world’s information in one click

 Amazon - To be Earth’s most customer-centric company, where customers can find and discover anything they might want to buy online

 Walmart - To be the best retailer in the hearts and minds of consumers and employees

 GE - To become the world’s premier digital industrial company, transforming the industry with software-defined machines and solutions that are connected, responsive and predictive

 Ikea – To create a better everyday life for the many people

 Southwest Airlines - To become the world’s most loved, most flown, and most profitable airline

 

A top-down vision is a cornerstone & catalyst for digital transformation. These and many companies have created great vision statements to survive in this digital age.

 
 
 
Read more…

The internet of things (IoT) has the power to influence so many of our services and utilities. So many, in fact, that even power itself is included in the concept’s clean sweep of the world’s commodities. Here’s what you need to know about the Internet of Energy.

 

The three Ds – decarbonisation, decentralisation and digitisation – are transforming the energy sector, as the quest for a carbon-free world continues. This falls on a backdrop of the IoT’s driving of efficiency around wind turbines and solar systems, which look set to represent the future of global energy consumption. The new connected energy business model is already here, it is called the internet of energy.

The internet of energy explained

The year is 2018 and the demand for clean energy has never been higher. Governments presiding over developed markets face pressures to cut emissions in the face of global warming, while projections from the International Energy Agency outlines a rise of 55% in the global demand for energy between 2005 – 2030.

Access to energy has already increased in recent years, but with the UN estimating global population growth of a further two billion by 2040, the coming years will lead to huge pressure on solar and wind power to meet this growing demand.

Another factor is the decentralisation of energy grids as a result of old, centralised systems failing to integrate newer units, like solar panels. Operators claim that billions are being spent on stabilising faulty power grids every year, with some of this passing onto the consumer.

A solution comes in the form of an internet of energy, whose technology can provide the infrastructure for decentralised, smarter energy grids and a stable supply of power.

The future of power

The internet of energy is based on a foundation of data, collected by a network of sensors with varying applications.

General Electric is one of the groups that use sensors within its turbines to monitor things like output and productivity. This is funnelled into a computer providing information on external factors, like the weather or fuel costs, which churns out recommendations for peak performance.

Artificial intelligence is ideal in this situation as a result of its ability to analyse data much quicker and more effectively than humans. In 2017 the concept was praised by the United States Department of Energy following its examination of past fluctuations in power to determine the answers for a more stable and efficient grid.

Quantum computing is another area of much interest for energy players. Its ability to process and store data at a faster pace than a classical computer makes it perfect for oil rigs, where tens of thousands of sensors are used to collect information on the performance of equipment.

At the core of further decentralisation has been blockchain; touted by China’s State Grid Corporation as a way of securing information on things like use of power and market prices. Data can then be shared with government bodies and private firms to develop a deeper understanding of the country’s energy consumption.

Conclusion

In near enough every use case of the internet of energy, there is an underlying theme: connectivity. By collecting, analysing and trading data via a secure, decentralised network, the energy industry can start to find a route towards providing renewables for the world’s population.

The truth is, solar and wind turbines will not solve our problems alone. With revelations that the annual waste of renewable energy from China is enough to power Beijing for an entire year, there is a clear need for a network to make better use of this equipment.

Given the rising demand for energy – and its following of a production model that dates back over 100 years – our companies must embrace the innovations that can accelerate its production. Through an internet of energy, we might have found the answer.

Get in touch to see how your own organisation can benefit from decentralised solutions and IoT.

 

Originally published at eleks.com

Read more…

IoT In Banking And Financial Industry

Internet of Things industry is developing rapidly and it provides people with a range of digital devices and sensors all around the world. According to predictions of Gartner consulting agency, about 6,5 billion of connected 'things' will be available by the end of 2018. And, by the way, this figure has grown to 30% comparing to 2016. It is expected that we will get almost 20 billion IoT devices by 2020.
 
As IoT is surrounding us in all fields of activity, banking area is also striving to make use of IoT and get some benefits. The niche of IoT software development is growing, so let's see the main reasons why you need IoT in banking and other financial services.

Why you need IoT in your financial business

Usually, when you start dealing with something new, you need to see strong reasons why you need it. That is why before you start developing your own the IoT solution for banking or any other FinTech service, you need to see advantages of IoT in this field. How has the Internet of Things impacted business? In this section, we will pay attention to 5 benefits why IoT can be beneficial for financial business. 
 
iot finance
How IoT can be used in banking
 

Collect all data in real-time mode continuously

For example, when individuals want to insure the car or house, using the IoT, they can always get access to the up-to-date information regarding patterns of using the insured product. If they insured the car, they can see all regulations and rules concerning all insurance cases gathering sensor data from any point - whether it be their home or car. And, yes, it is just one example of thousand other possible options thatIoT solution providers can offer.

Personalized customer service

Considering that preferences of the customer change very fast, financial institutions along with other fields simply cannot ignore new digital innovations and they need to engage in the development of new solutions. Today customers can always stay in touch with their bank using a tablet, smartphone or laptop. That is why banks see perspectives in the development of IoT apps that make it possible to gather more data about customers, their behavior, and preferences. The IoT connections facilitate a widescale data collection about users. This data helps banks understand their customer better and offer them more interesting and personalized experience, useful target tips. It leads to a new level of interaction between bank and customer and to the great future of banking technology.
Example: imagine that your customer came to your bank and they just enter the main door. You can use the network of sensors and beacons with appropriate software to authenticate the customer with the biometrics like facial recognition. This customer every day withdraws a certain amount of money in ATM of your bank, and thus ATM will prepare money for the customer, and when the user enters his PIN, cash will be prepared to withdraw. By the way, you can find more benefits of facial recognition software in our article. As you see, IoT and banking area can be mutually beneficial.

Enhancing the decision-making process

If the bank learns more information about their customers getting the data from the IoT devices, it helps improve decision-making process with better customer service and product strategy. For example, using data from social media or buying preferences of the customer, banks can build the picture of potential credit risk for each customer and then make commercial offers to the potential customer. Here you need the development of analytical software that will help implement it, and our company can assist in it. Thus, IoT in financial services can help specialists understand the general condition of other fields. Up-to-date data will give the current situation in retail or agriculture that is very important in the process of new markets analysis.

Communication between various devices

Combination of sensors and software will help make cashless payments automatically, without even touching user's phone or banking card. This financial solution can become widespread one day. As an example, users go to the cash register in the supermarket, and there is a sensor installed that detect the number of products in their cart and the type of these products. Then it calculates the total sum for all products and connects to their mobile wallet. The payment is done automatically. But of course, this FinTech solution should undergo governmental approval to meet all financial regulations.

Customer smart interaction with the Internet of Things

For today, capabilities of the IoT in banking sector and other financial areas are not revealed in a full manner. The Internet of Things is just starting entering in FinTech. But it is expected that the IoT will play a very important role in banking strategies.
Experts predict also the development of the niche where customers will be able to connect their banking account to the range of smart devices. For example, smartwatches will give their owners a signal when they exceed the limit of planned expenses. Today banking apps already can give you notifications about all financial transactions, but this algorithm will be modified to the new level.
 
banking and iot
 
As a result, we can show a simple example of what capabilities IoT in banking and finance area has, but this list will grow as innovations appear. And if you have any idea on the development of your own banking software - do not hesitate to contact us.

Ways how IoT can be used in financial sector

Banks from all over the world are trying to use IoT capabilities in their industry to get more customers involved. Starting from mobile banking apps that today are used by the majority of all world banks, since apps help monitor preferences of customers, to the range of sensors that make it possible for financial institutions to gather information from their branches and sensors in wearables that can track how customers use banking products. The Internet of Things and financial services create a beneficial combination.
 
internet of things use cases in banking
Ways of IoT application in FinTech sector
 
IoT vs fraud
If you are a faithful fan of our blog, then you saw our article concerning the prevention of fraud in FinTech app using artificial intelligence. Well, IoT and AI can become the symbiosis can enhance and improve the process of fighting the cybercrime. IoT FinTech devices and software with integrated AI can collect more data about financial transactions made by their customers that will help improve the security level and make financial processes easier and more secure.
 
Invisible payments
As we mentioned above, the combination of sensors and software facilitates the development of invisible payments and other main financial procedures using wearables like smartwatches, voice-recognition devices, special RFID sensors in Uber cars and restaurants to make automated payment without taking the phone out. A 22% of world financial organization CEOs predict the payment from cars to become a reality in the next two years, according to PwC.
 
Payments from everywhere
Let's not forget about smart refrigerators and other home appliances that also allow users to make payments for food delivery, like an example. IoT in finance industry can let you create an ecosystem for the optimization and acceleration of payment process. Pay from everywhere - wherever you are. Cleveroad can give you a hint on how to create an advantageous IoT app.
 
Autonomous wearables
As for statistics, 60% of world-leading financial institutions plan to make wearables the main payment device within a couple of years, it is a kind of IoT business strategy. Moreover, it is highly possible that the new generation of wearables will be created - wearables that function without a smartphone. Rings, VR devices, and even hi-tech clothes will replace common smartwatches one day.
 

Main challenges you may face adopting IoT in financial sector

Never forget about the main rule - all coins have two sides. And IoT technology has its second side that will show you some pitfalls IoT brings to humanity. Especially if it concerns finances where accuracy and security are highly important. All benefits shown above will bring some problems related to confidentiality and security of customers' personal data. The financial field that uses IoT connections should make sure the safety of personal data to their customers. Let's see main weak sides of IoT in FinTech.
 
Privacy and security
That is the main danger that can be ahead when people use the Internet of Things in finance. Since IoT is the whole network of devices and various software, the risk of hacking is increasing exponentially. And in case of financial industry, the privacy and security are the most important issues to be taken into account when thinking about protection. When the financial and personal information is being transmitted through the IoT network, all this data can be breached and hacked. So the privacy and security concern means a lot and rapt attention should be paid to it.
 
No common standards
Different devices require different maintenance approach. Unfortunately, there are no common standards for maintaining IoT equipment. It seems to be impossible for today to resolve this issue. The matter is that all hardware used in IoT can be manufactured by different suppliers and they cannot have one common maintenance standard. And even if all hardware manufacturers in the world will agree to use one specific standard, technical issues will still remain. Only if there will be one monopolistic manufacturer of all equipment, but it is unreal since it will damage economic situation in the whole world. So, the lack of common standards can be the reason for failures in the functionality of IoT devices.
 
Complex system
As we mentioned above, the longer and bigger system is, the higher the probability of any failures in the system. But considering that this is a financial field, failure in IoT network can become the reason for total malfunctioning in the whole system and lead to huge losses. IoT can be represented as the chain where each link plays an important role in proper connection. Break one link - all chain will be broken as well. And it concerns both hardware and software part. That is why you should choose high-quality hardware manufacturers and experienced software development companies. So IoT in banking industry and other financial services is a technology that is rather difficult to deal with.
 
Higher unemployment rate
IoT helps automate working processes that required human brain before, and it means that some employees would simply lose their work positions, especially if these are young and not so skilled workers yet. Banks and other financial institutions will have to cut more jobs with the advent of IoT technologies in the financial industry. Unemployment growth will damage economic and social situation not only in one specific country but also in the whole world economy.
 
iot and finance
Pitfalls Internet of Things hides in financial sector
Read more…

3 Reasons to Use .NET for your Next IoT Project

The concept of connecting objects with the internet is the Internet of Things. It was conceived in order to establish a direct amalgamation between the virtual world and the physical world. Internet of Things is useful in the way that it recovers concrete data and information and makes them useful by offering economic benefits and improving the daily life as well.

The time has now come where people and IoT app developers have started to understand the importance of this technology and are working towards achieving greater goals with it. Tech giants have started to adopt this technology and work on developments. Here are some major reasons why they are doing it.

  1. Windows 10 IoT Core. .NET is fully compatible with Window 10 IoT Core. The system for Windows 10 was released in 2015 and was designed specifically in a way that runs on low-power devices. One great thing about this is it’s free. It comes along with a handy toolkit. There are lots of integration options. .NET Core can be extremely helpful in creating great IoT apps. They offer a pretty smooth UX.

  2. .NET Readymade Solutions. Almost every coding problem or issue is developed or resolved and has a solution somewhere over the internet. .NET helps developers in a great way making use of unfinished solutions and saving their time. So if you face a problem finding an IoT solution, it is very likely that someone has already found a solution for it and the code must have been posted somewhere over GitHub. .NET is a large community and the number reusable code it produces is also huge. This can help in speeding up the development process. This is why .NET is a great option.

  1. Microsoft Azure. Microsoft Azure is known as one of the best available enterprise-class platforms. It is of great use for IoT users. Microsoft not only provides the Azure IoT platform and IoT accelerators, but also recovery and data storage in addition to that. Some of the most important features of an IoT platform are security, analysis, interoperability, and flexibility. These features help the IoT developers in a great way.

Microsoft Azure is a cloud platform that is both secure and reliable. It offers several services. Deploying cloud applications is pretty easy by simply setting up an application host or running it on the Azure panel. Azure technology is being continually worked upon by the Microsoft engineers. Many new features will be added and those updates will come out soon.

Conclusion

For any technology, it is extremely important to have a supportive community that offers help whenever required. .NET has that kind of community. There are more than two million people working on .NET, so you imagine the number of people ready to help you and offer advice in the community.

IoT will see immense growth in the coming years, considering the demand for such technology. When that happens, all the work done on it right now will then prove to be useful. .NET is the preferred environment for creating IoT apps and there is no doubt in that.

 

Read more…

IoT Open Discussion Forums

Upcoming IoT Events

More IoT News

How wearables can improve healthcare | TECH(talk)

Wearable tech can help users track their fitness goals, but these devices can also give wearers ownership of their electronic health records. TECH(talk)'s Juliet Beauchamp and Computerworld's Lucas Mearian take a look at how wearable health tech can… Continue

IoT Career Opportunities