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Guide for IoT Integration Challenges and Solutions

Internet of Things has already outshined the world by facts till today. By 2020, we can take for granted the number of things that connects to 20.4 billion, and it has been predictive to reach above 7 trillion dollars.

The IoT app development company has already proven its adaptability with deployments in various enterprises that are showing dozens of different IoT use cases. Hence, businesses worldwide are now scrambling to develop integration solutions that hold these devices well to match with technology.

Let’s first understand what IoT is before we get into the nitty-gritty of Integration.

The IoT is a suite of sharply connected devices that move data over a network without any human involvement. Internet of Things data looks a lot like any other data that are running over your system, but for all the IoT platforms and protocols, you’ll find that most IoT devices utilize a REST API.

Interpreting the need for Data Integration in IoT

In the monarchy of associated gadgets, IoT looks as instrumental at last to-end joining of different specialty units and procedures that prompts better coordination between business elements to improve its functionalities. IoT integration platform, with its key features, has been its capacity that offers authority and visibility over significant business-extensive procedures. 

Furthermore, to use the information for incorporation, they used to assemble data from different sources according to industry prerequisites. Innovative pros are concentrating on information to stress genuine estimation of IoT.

Here, IoT systems assume a straightforward job to upgrade the attributes of enormous information comprising speed, volume, and assortment. IoT integration companies make use of IoT components consist of incessant sensors that unendingly gather large measures of intelligence, exponentially more noteworthy data.

Data Integration in IoT

IoT Challenges and Solution in terms of use cases

As we drive deep to IoT and machine learning aspects, we came to know that Fitbits, smart televisions, watches, electric meters, security systems, smart lights in homes and commercial environments, voice assistants are some of the most popularly used IoT devices business needs these days.

Businesses have tremendous faith in IoT as Integration has proved well with moving technology. However, most enterprises begin their IoT journeys without understanding the integration challenges. For startups, the sheer volume of data generated by IoT devices can sometimes be overwhelming. 

Predictive Maintenance:

One of the top use cases where IoT used for Integration. To enhance the operational expenditures, the enterprise needs to maintain and run the assets as the potential that saves millions of dollars and help enterprises from a significant loss.  

With the use of sensors, cameras, and data analytics, the industry management team can conclude when a piece of equipment fails before it does. The key here is to get the right information at the right time.

Some of the advantages of IoT Integration to Maintenance:

  • IoT-enabled systems can sense warning signs,
  • It uses data to create maintenance timelines,
  • Cure service equipment before problems occurs,
  • IT allows managers to know which material needs maintenance,
  • Maintenance work planned as the system remains online while workers stay on task. 
  • IoT power by increased equipment lifetime and plant safety,
  • It promises cost savings over time-based preventive maintenance.
  • IoT power by increased equipment lifetime and plant safety,
  • It promises cost savings over time-based preventive maintenance.

Remote Health and Monitoring:

Patients don’t have to visit an emergency room at the hospital, and they don’t have to wait for the emergency area. Along with quality outputs in medical expenses, IoT assists in remote health maintenance. One of the most noticeable and accepted applications of healthcare and the IoT is Remote Monitoring, also branded as Telehealth. 

Some of the advantages of IoT Integration to Health Monitoring:

  • It helps to minimize the costs,
  • Helps in eliminating the need for some visitations, 
  • It helps to improve the living quality of patients by sparing them the trouble of the journey.

Asset Tracking:

85 percent of global industrialized are aware of asset efficiency practices, but only 15 percent of those examined have implemented such measures at a systematic level, based on Infosys research. The asset tracking system aims to permit an enterprise to locate and monitor critical assets through IoT easily. 

It allocates including the supply chain to optimize logistics, maintain inventory levels, put off quality issues, and detect theft.

Some of the advantages of IoT Integration to Asset Tracking:

  • Sensors help track the location,
  • They provide a temperature of individual containers,
  • Perishable goods remain fresh on a specific temperature,
  • They provide real-time metrics on refrigerated containers,
  • They assist current status along with the temperature.

As each company looked to help customers take advantage of IoT technologies, and all are facing IoT integration challenges. Eventually, all are trying to solve a problem from the edge to IoT and artificial intelligence consultants to help companies drive value and distinguish from the competition. 

Philips e-Alert:

A new IoT-driven solution from Philips, called e-Alert, aims to solve that problem of MRI Systems. It combines remote sensor technology with the global reach and stability of mobile messaging from Open Market to sense and rapidly respond to potential issues with magnetic resonance imaging (MRI) systems.

Philips’ came up with an innovative system that takes a proactive approach by virtually monitoring medical hardware and alerting hospital staff members if there’s a problem.

Some of the advantages of IoT Integration for MRI System:

  • It issues an automatic alert if something is amiss.
  • It helps healthcare organizations achieve their larger goals of improving efficiency.
  • Enhance enhancing the quality of care for patients. 
  • We are making every investment worthwhile with a reduction in cost for patient’s health.

IoT Integration solutions offer actionable insights that enable new business models for retailers and increase their ROI. Moving from words to deeds, here are a few examples of how IoT can capture new revenue opportunities.

Security, Inventory Management, Infrastructure, and data management are some of the common challenges, and IoT helped by solving:

  • Smarter inventory management
  • Automated checkout
  • Improved Supply Chain Management 
  • Automate inventory visibility 
  • Better Customer Experience

IoT’s key satisfying elements has been its capacity that offers authority and visibility over significant business-extensive procedures. In the realm of associated gadgets, IoT seems as instrumental at last to-end joining of different specialty units and systems that prompts better coordination between business elements to improve its functionalities.

Innovation geniuses are concentrating on information to stress the genuine estimation of IoT. Furthermore, to use the information for incorporation, they used to assemble data from different sources according to industry prerequisites. 

What makes IoT integration so challenging

As technology is booming so fast, and so does its implementation. It comes with new challenges with them. However, with IoT, there is nothing somewhat like what enterprises usually tackle the complication and level of Integration. Here are some features that differentiate IoT.

  • Stream messaging:
    It is a critical task to stream 100 of IoT data. We collect and process a stream of data from numerous smart sensors and make it worth using. 
  • Immense number of connected devices:
    Data exchange is the next common thing in the market full of information where thousands of connected devices are indulging. To connect and integrate them for the sheer number of endpoints is challenging.
  • Dynamic parameter counts:
    IoT is rapidly exploring in terms of connecting n number of endpoints as these days, it’s quite standard with technology in advance. Conventional Integration and dynamic parameters designed to work and support a fixed amount of parameters.
  • New communication protocols:
    IoT and Smart use wholly new and communication protocols, which means enterprises need integration platforms that can adjust seamlessly with new IoT protocols.
  • Low latency tolerance:
    Due to IoT implementations, your integration platforms enable super-fast data processing and relay.
What makes IoT integration so challenging

Cloud-based solutions for Data and Process Integration

To achieve scalable success with IoT integration, IoT app development companies think about process and data combinations from very first. 

IoT stages should hitch to your venture’s information practices and business forms. Most endeavors accept that the inherent ability of their essential IoT stages can cover them for starting arrangements.

Moreover, IoT coordination necessities get progressively bluster as you hope to scale up your business with IoT capacities. To address these difficulties, a cloud-based stage as an assistance development helps immensely. 

IPaaS offers association’s access to cutting edge combination abilities and encourages them to execute different work processes and IoT ventures. IoT administrations get to through their APIs, and this is a default highlight given by each iPaaS. 

Critical IoT angles you can oversee through Integration Platform as a Service (iPaaS) include:

  • Organizing multiple IoT integration with shared components.
  • Multilevel workflow implementation.
  • Implementing advanced integration features such as general-purpose translation.
  • Leverage on-premises software applications as required.

For example, for wireless connection to a long-range, components of IoT are essential, particularly where the execution of traditional network infrastructure becomes challenging. However, the communication protocol is unclear, and hence challenging to work. 

IoT integration challenges are where we are going to put our focus on successful implementation. However, if your organization has most of its IT component hosted on-premises, you should, and you must power several IoT components.

Communication needs for your IoT projects

Communication needs of your IoT projects

IoT incorporation brings enormous security challenges that can give a cerebral pain to even the most prepared CSO. The absolute number of endpoints, the enormous volume of information streaming in the biological system, and the basic idea of every gadget in the more significant procedure.

To make an enormous number of “things” speak with one another in a way to such an extent that your association’s center procedures are improved, you have to design painstakingly. Interesting points while choosing a correspondence approach for associated gadgets are:

  • The number of connected devices.
  • Types of connected devices.
  • Range of communication technologies available.
  • Tolerance in terms of latency.
  • Considerations around device autonomy, aggregation, and localized computing.

Getting to Actionable Business Insights

Challenges like location edition in terms of data format and mapping requires while data are streaming from IoT devices to feed for an existing analytics system. These seem to have the decisive role of IoT integration through an expert team and IoT integration services to take a good look at the core components of your IT. 

Moreover, the IoT implementation driving by the integration challenges and to update with the latest data science technology. Furthermore, we help you quickly leverage your IoT data into actionable business insights with our machine learning and artificial intelligence expertise.

Meghavi Vyas

Meghavi is Sr. Technical Writer and exploring the knowledge in Big Data and Analytics. She is passionate about new technology and got her hands on writing technical terms and data aspects. She loves to explore the bleeding edge of tech stuff as an early adopter to Data Science.