Automation in DevOps

Adding Automation in DevOps for Thriving AI Models

DevOps, as the name suggests, is a coordinated approach that integrates software development and operations to facilitate seamless software delivery. DevOps breaks down silos and supports a culture of collaboration to achieve faster, more dependable, and higher-quality software releases.

Automation is a crucial pillar of DevOps, as it allows teams to automate different tasks and processes throughout the software development lifecycle. Using automation, DevOps potentially uses Artificial Intelligence to minimize human error, quicken time-to-market, and enhance overall software quality.

But now the biggest question is- How to involve automation in DevOps. Which DevOps processes can be automated? Will it be in parts, or the entire process can be automated? What tools and technologies should be used?

So, here, in this blog, we will discuss DevOps and the importance of automation in DevOps. We will go through different aspects of automation and learn about the benefits offered by automation in DevOps.

DevOps automation utilizes different tools, techniques, and technologies to simplify and automate the duties involved in software development, application deployment, and IT operations.

The primary objective of DevOps automation is to enhance the efficiency, consistency, and reliability of software development and execution processes while minimizing human interventions and errors.

Let us know the Benefits offered by DevOps Automation

DevOps teams can potentially utilize the benefits of automation to revolutionize software development and existing operations. This enables the team to deliver faster, more efficient, and error-free software.

Prompter Time-to-Market:

Automation quickens the complete software development process, beginning from coding to execution. Once liberated from redundant tasks, teams can release new features and updates on time, decreasing time-to-market and staying ahead of others.

Better Consistency and Reliability:

Automated operations confirm consistent and steadfast outcomes. Human interference usually causes errors, whereas automation is the preface of standardized practices, promising fewer errors and a more predictable environment.

Promises reduced Manual Errors:

Human errors are natural in manual tasks. Luckily, using automation practices, DevOps teams will be able to reduce the risk of mistakes caused by human negligence, upgrade software quality, and develop more stable production environments.

Effectual Resource Utilization:

The development team can use resources more efficiently by using automation tools. In fact, infrastructure provisioning and scaling can also be automated depending on the need, optimizing resource allocation and cost-effectiveness.


It is pretty simple to scale applications and infrastructure either up or down, depending on the need. Automated provisioning and configuration allow rapid scaling to manage increased workloads without any human interference.

Improved Cooperation:

DevOps automation facilitates association between development and operations teams. DevOps automation tools offer a standard platform for both teams to work together, lessening communication gaps and supporting a culture of shared accountability.

Faster Recovery and Rollback:

Automation processes’ best part is that they allow quick recovery from failures. Automated backup and recovery approaches can be activated in case of any issue, minimizing downtime and reducing user impact. In the same way, automated rollbacks guarantee that faulty installations can be immediately retreated.

Smooth Predictable Deployments:

Automation in DevOps ensures that deployments are compatible across different environments, relieving the “it works on my machine” situation. This results in smoother transitions from development to production environments.

Infrastructure as Code (IaC):

Automating infrastructure provisioning by utilizing IaC tools streamlines the control of complex circumstances. This also promises easy versioning, tracking, and replicating Infrastructure across diverse stages while lowering configuration import and manual setup mistakes.

Resource Cost Optimization:

Automation supports optimizing resource allocation by permitting resources to turn up or down based on need. This averts over-provisioning and waste of resources, ultimately directing to cost savings.

Compliance and Protection:

Automation facilitates enforcing security and compliance policies throughout the development and deployment procedure. It would be best to reduce manual work in security checks, exposure scans, and access controls to reduce the threat of security breaches.

Continuous Progress:

Automation fosters a culture of endless advancement by allowing teams to collect data and insights on implementation, bottlenecks, and trends. This data can be further used to improve processes and boost overall efficiency.

Which DevOps procedures can be automated?

In a DevOps domain, automation can be executed across the entire software development process, initiating from coding and building to testing, execution, and monitoring.

  • Continuous Integration (CI) – It can automatically integrate code changes from multiple developers into a shared storage. Automation equipment like Travis CI, Jenkins, and CircleCI can be employed to start automated builds, run tests, and offer early feedback on code modifications.
  • Continuous Delivery/Deployment (CD) – Automate deploying code shifts to production or staging environments. Automation tools like Kubernetes, Docker, and Ansible will help in application deployment, infrastructure provisioning, and configuration control.
  • Infrastructure as Code (IaC):  Ithelps manage and provision infrastructure employing code. Terraform and CloudFormation tools empower teams to determine infrastructure resources, like servers and networks, as code that can be further versioned, tested, and automated.
  • Automated Testing: Executes tests automatically, confirming that code changes do not cause defects or regressions. This involves unit, integration, and end-to-end tests that can be initiated as a part of the CI/CD pipeline.
  • Monitoring and Alerting – It can keep track of the health condition and performance of applications and infrastructure. When set thresholds are breached, automated alters are initiated to inform the operations team of potential challenges.
  • Log Analysis – Automation tools can filter through logs produced by applications and infrastructure to determine ways, irregularities, and potential problems, assisting in troubleshooting and assertive maintenance.
  • Release Management – Automating the release procedure promises consistency and lowers the threat of human error during the execution of new features or bug fixes.
  • Security and Compliance – It implements security terms and policies, scans code for vulnerabilities, and guarantees compliance with regulatory standards.

Are you Willing to Get Started with DevOps Automation?

DevOps automation proposes a holistic technique to software development and operations, offering benefits that promise faster output, better quality, enhanced integration, lower risks, and potential resource utilization and management. However, it is still wise to go for automation only after enough research and analysis to ensure that it syncs with organizational objectives and is enforced in a way that takes care of both technological and cultural factors.

Why IoT is Becoming the Next Pivotal Technology for Enterprises

Why IoT is Becoming the Next Pivotal Technology for Enterprises

Today, we are well aware with the fact that the Internet of Things is leaving no stone unturned to bring changes and revolutionize different industries. Businesses are embracing IoT with open hands and are spending a reasonable sum on IoT technology to propel growth. Organizations use this futuristic technology to create new use cases, products, and services, to rebuild their business models to fit current market requirements, and to enter new markets.

This blog will show how revenue growth is crucial for businesses spending on IoT technology. We will also know how interest is growing in use cases that help in remote working, augmented reality (AR), virtual reality (VR), and sustainability and how enterprises increasingly view IoT as an option to help companies reach their sustainable goals.

Revenue growth is essential for businesses investing in IoT

Earlier, enhancing operational efficiency was one of the most crucial factors for companies when it was to invest in IoT, but now this has been overtaken by IoT’s potential to push revenue growth.

For instance, enterprises can gather expansive amounts of data in real time using IoT devices and sensors, allowing them to extract valuable insights and make data-driven decisions. IoT-enabled sensors can be implanted in products to collect data on usage, performance, and maintenance needs. The collected data can be used to optimize operations, enhance efficiency, improve customer experiences, and create new revenue streams. The technology allows businesses to provide product-as-a-service models, where customers can opt and pay for the use of the product rather than buying it. This change from owning to usage-based models facilitates organizations to create recurring revenue and embrace long-term customer relationships.

Organizations can also monetize their data by analyzing and churning meaningful information. By providing data-based services, like preventive maintenance, customized recommendations, or remote monitoring, businesses can generate new revenue streams and offer value-added services to their customers.

Recent developments in artificial intelligence (AI) will also act as a booster to help companies in achieving their goals. For example, AI systems empower businesses to unleash the full potential of the vast amounts of data they gather using IoT devices, primarily through predictive analytics, and use the insights generated from analyzing IoT data.

Besides this, organizations can provide better functionalities and offer customized experiences by integrating sensors and connectivity. This opens new product innovation and differentiation opportunities, enabling firms to draft premium prices and captivate new market segments.

By including IoT, companies can enter into untapped market opportunities, develop innovative products and services, and establish a competitive edge in their business.

Interest is growing in backing different use cases

Today, organizations are open to various opportunities unleashed by 5G-based IoT. A noticeable trend in the past year is the firms’ pressing need for a remote working system, virtual reality, augmented reality, and sustainability. These all are seen as significant areas for IoT applications.

Adopting a hybrid working culture in some organizations has made IoT technologies more relevant than before. IoT-integrated devices and applications offer seamless communication, collaboration, and monitoring for remote workers. From smart home offices with connected devices to remote asset management in industrial settings, IoT allows businesses to produce secure and productive remote working environments.

Along with this, the IoT is changing the landscape of AR and VR technologies. IoT devices can offer real-time data and inputs to improve the immersive experience of VR and AR applications. For example, in manufacturing, IoT sensors can gather data from physical objects, visualize in AR overlays for technicians, and help in maintenance, troubleshooting, and training. IoT, VR, and AR intersection produce new avenues for businesses to enhance training, design, and visualization processes, increasing productivity and efficiency.

It is crucial to understand that security within IoT has been a cause of concern. However, the emphasis on industry regulation and standards has assured security by design for IoT products, improving organizations’ confidence in exploring more IoT use cases.

IoT is supporting businesses in achieving their sustainability goals

Sustainability is another critical area where the IoT is imprinting its importance. Most organizations agree that emerging technologies are essential in accelerating their green objectives. Key benefits include:

  • Better energy efficiency
  • Enhance measurement of carbon emissions
  • Allows more virtual products and processes

IoT devices and sensors are employed to monitor and optimize energy consumption, reduce wastage, and improve resource efficiency.

For example, IoT-enabled smart buildings can automatically adjust lighting and temperature as per the occupancy, ultimately reducing energy usage and minimizing the company’s carbon footprint.
Besides this, an IoT-based supply chain monitoring system helps optimize logistics, reducing product spoilage and decreasing greenhouse gas emissions.

By interlinking IoT with their operations, businesses can fuel sustainability initiatives, enhance environmental performance, and contribute to a more sustainable future.

Other benefits include- the positive impact on circular business models and the shift to renewable energy sources. Traditional linear business models pursue a “take-make-dispose” strategy, which causes resource depletion and waste generation. However, with IoT integration, businesses can execute circular practices that reduce waste, reuse materials, and extend product lifecycles.

On the other hand, IoT technologies can play a crucial role in integrating renewable energy. IoT-enabled devices can monitor energy consumption routines, product efficiency, and grid dynamics, offering businesses real-time insights into their energy usage. These insights can allow enterprises to discover opportunities for energy conservation, optimize energy generation and storage, and integrate renewable energy sources effectively. Organizations can lower their dependence on non-renewable energy by employing IoT in energy management, reduce their carbon footprint, and contribute to the global initiative toward a clean energy future.

IoT: Critical technology for businesses

Hence, we can conclude that IoT is emerging as a critical technology for businesses, offering them transformative capabilities and opportunities.

The futuristic IoT technology is going to blanket most industries and bring the most favorable changes. Industries are understanding the potential of this latest technology and are embracing it to enhance their operational efficiency. It will not just boost productivity or minimize operational costs but will also aid in improving customer experiences and attaining sustainability goals. Joining the IoT revolution will allow businesses to stay above all competition, be innovative, and flourish in the ever-changing digital landscape.

How to Address Data Management Challenges in IoT Using Fabrics

How to Address Data Management Challenges in IoT Using Fabrics

Whenever we talk about data management, the whole conversation remains incomplete if we do not mention the most important aspect related to data management: the Internet of Things, IoT networks. Today, everything is connected, and all credits go to IoT networks. From smart towns to industrial sensors, our world is interconnected with smart devices, and the volume of data generated has reached unbelievable proportions. This is advantageous for our digital transformation initiatives but carries a parallel increase in vulnerability to data piracy, cyber attacks, and privacy infringements.

The amount of data generated is directly proportional to the higher stakes regarding safeguarding it. This raises the need for data protection measures in IoT ecosystems, which has now become a significant challenge for organizations. It has also necessitated robust data management strategies to guarantee IoT data’s integrity, security, and privacy.

However, enterprises are still making errors. They emphasize more on expanding IoT and are least interested in making the data streams safer and more authentic. More comprehensive IoT networks assure more users and faster streaming, yet they lack in terms of data protection.

Critical data management challenges in IoT

In the domain of IoT, significant data challenges emerge, including security risks, privacy concerns, data authenticity, and data proliferation. Security risks create a constant threat, as IoT devices are vulnerable to breaches, unauthorized access, and tampering, potentially resulting in data leaks and network attacks. 

Safeguarding privacy is crucial due to the collection and transmission of personal data by IoT devices containing sensitive information like location, health data, and behavioral patterns. 

Securing data integrity and authenticity is difficult in IoT environments, as changes often lead to erroneous decisions and compromise system reliability. 

Besides this, the sheer volume of data created by IoT devices can overcome traditional management systems, making it necessary to have sufficient storage, processing, and analysis strategies in a timely and cost-effective way. As per the ‘State of IoT Spring 2023’ report released by IoT Analytics, the worldwide count of operational IoT endpoints rose 18% in 2022, reaching 14.3 billion connections. 

How can data fabrics handle these challenges?

Data fabrics are essential in allowing scalable data management in IoT ecosystems. They provide valuable support in different aspects of IoT data management. They play a vital role in privacy protection by using data masking techniques that pseudonymize or anonymize sensitive information.

By substituting original values with masked or randomized data, the identity of individuals or devices remains safe, diminishing the threat of data breaches.

Data fabrics also allow access control, restricting access to authorized personnel or systems. Encryption also improves security by shielding transmitted or stored data from unauthorized access. Data fabrics offer an extra layer of security against attackers by integrating encryption with masking.

In addition, data fabrics support data minimization by reducing the amount of sensitive data stored or transmitted, using masked or aggregated data instead.

  • Data integration and aggregation: Data silos create a  significant challenge in IoT, as they can cause data duplication, loss, or inaccessibility by different systems. Data fabrics can support breaking down data silos by offering a unified view of data across the IoT ecosystem. Data is created from different sources and in diverse formats; data fabrics can enable the integration of this data into a suitable view. This allows organizations to comprehend their IoT data landscape and make informed decisions. Data fabrics can collect and merge this data in real-time, offering a compressed and contextualized view of the IoT environment. This collected data can be used for real-time analytics, irregularity detection, and predictive modeling, allowing organizations to derive valuable insights and make proactive decisions.
  • Data processing and analytics: Data fabrics offer processing power, permitting IoT data to be analyzed and changed into actionable intelligence. By using distributed computing and parallel processing, data fabrics can handle IoT data’s high volume as well as velocity. This empowers organizations to conduct complex analytics on the gathered IoT data, like machine learning algorithms, extracting valuable patterns, trends, and correlations. 
  • Data management and quality: Data fabrics offer a management layer guaranteeing data quality, consistency, and compliance. As we know, IoT data comes from different sources and devices, and it is necessary to ensure data integrity and reliability. Data fabrics can implement data management policies, perform data validation and assure data quality standards are fulfilled, thereby enhancing the reliability and trustworthiness of IoT data.
  • Scalability and flexibility: IoT establishment often includes multiple devices creating data at a high frequency. Data fabrics are designed to be scalable and flexible, enabling organizations to manage the high intensity of IoT data and acclimate future growth. They are seamlessly scaled horizontally, adding more resources as required and adapting to evolving IoT infrastructures and data requirements.

Not just this, data fabric tools also enable real-time data processing and help in decision-making. In IoT systems, real-time responsiveness is essential for upcoming maintenance, monitoring, and dynamic resource allocation applications. Data fabrics can process and analyze data in real-time, allowing organizations to take prompt actions based on IoT insights.

Some robust platforms for managing IoT data

For handling IoT data, many platforms offer robust capabilities. One such platform is K2View, a data integration and management solution that allows organizations to merge and manage their data from various sources. Their technique pivots around micro-data management, emphasizing granular test data management instead of replicating entire datasets. This strategy streamlines operations, decreases complexity, and minimizes the risk of data inconsistencies. Organizations can overcome data silos, improve data quality, and achieve valuable insights for informed decision-making using their scalable and flexible architecture. 

For companies planning their AI move, IBM Pak is an available option. It is a pre-integrated, enterprise-grade data and AI platform that assists businesses in accelerating their journey to AI. It offers a unified view of data, streamlines data preparation and control, and allows rapid growth and deployment of AI models. It is also available on-premises or in the cloud.

There are other platforms like Talend, known for its data integration and transformation capabilities. Talend is a data integration platform that gathers, cleans, and converts data from IoT devices. It also offers a combination of connectors to other data sources, making it uncomplicated to build a data fabric. It also offers a set of data integration, quality, administration, application, and API integration capabilities. Their Fabric also supports organizations in getting trusted data promptly, improving operational efficacy, and reducing threats.

The realm of IoT- connecting everything

The Internet of Things (IoT) will become the most powerful domain in the coming years, and data fabrics will be the best solution to encounter and subdue data challenges. They empower businesses to break free from silos and gain a holistic view of their digital landscape. With the help of data fabric, real-time insights become the standard, promoting intelligent decision-making and growing businesses into new frontiers. With the adoption of this paradigm, data fabrics come out as beacons driving organizations to the vast intricacies of IoT data and unlocking endless opportunities.

Smart and Sustainable Livestock Management supported by IoT

IoT-Enabled Livestock Management: A Smart and Sustainable Approach

Food is a basic need for every living being, and the importance of the agriculture industry and livestock farming cannot be underrated. The demand for food, rabbit and poultry meat, has been increasing day by day, and the reason behind this increase is population growth, changing diets, and affordability. This has led to an increase in the number of poultry and rabbit farms worldwide and improved the sensitivity toward animal welfare issues.

Many farm owners have adopted standardized farming management practices to meet the growing meat demands. Many others have added new technologies and innovations like smart farming methods using the Internet of Things and machine-to-machine solutions in their livestock management process.

Adopting the latest farming technology, smart sensors, and livestock monitoring solutions can assist farmers in efficiently managing their resources and enhancing productivity. This adoption also guarantees minimum wastage and less energy consumption.

Value Proposition

Traditional methods of livestock management include inspecting each animal for signs of injury and diseases. Farm owners with large livestock farms often fail to detect ill cattle and face loss. This monitoring method is time-consuming, labor-intensive, costly, and highly erratic.

As per research conducted by Oklahoma University, lung lesions and scarring are found in 37 percent of cattle that had never been diagnosed as sick, and in a trial at the Meat Animal Research Center found that 68% of steers tested showed signs of past respiratory infection.

Although the animals can recover independently, studies show that once cattle have been ill, they cannot catch up to the rest of the healthy herd in health or value.

IoT Data for Livestock Houses and Management

Farmers can optimize their processes, improve animal welfare, enhance traceability, and increase overall productivity by adopting IoT technology offering real-time data on environmental aspects like temperature, gas levels, and humidity.

Such IoT solutions are constructive for monitoring ammonia levels, which causes severe eye irritations and respiratory problems in animals and humans as well. By keeping these aspects under control, farmers can improve their cattle’s health and well-being and enhance the final product’s quality.

Enhanced Farming Practices

Using low-cost and durable smart sensors in an IoT solution for farming is an efficient and cost-effective way to gather and analyze data. The IoT sensors can be implanted in different locations around the livestock houses to gather data on different aspects like temperature, humidity, water quality, gas levels, and many other things.

The sensors can also be installed to gather data in real-time, guaranteeing that the farmer has access to real-time information about their farm’s current status, environment, and operations.

The consolidated and easy-to-install feature of the sensors makes them a feasible option for farmers who wishes to speed up their farming practices without disrupting their procedures. The advanced battery-backed system guarantees that sensors are durable, skipping the frequent battery replacement and maintenance requirements.

IoT Platforms for Livestock Houses

The gathered data is then processed and analyzed using an IoT platform, which can provide insights and actionable suggestions to the farmer. The information can be accessed using mobile devices, authorizing the farmer to monitor their farm from any location at any time. The data provided is in an easy-to-understand format means farmers do not need specialized technical knowledge to understand and utilize the information.

What are the Benefits of IoT-Enabled Livestock Management?

  • Monitor the health and vitality of livestock in real-time, allowing farmers to immediately treat animals and prevent the spread of illness or disease.
  • Track grazing animals to know their grazing patterns and activities and prevent loss. 
  • Collect and analyze past data to identify and understand trends in cattle health or track the spread of illness.
  • Monitor the heat period or birth time, avoiding the loss of new calves and optimizing breeding practices.

Revolutionizing the Farming Industry to Boost Productivity

The success of IoT in reducing disease and mortality rates in livestock houses, increasing output, and optimizing overall operations shows its potential for enhancing farming practices.

The data gathered using the sensors can be utilized to determine the pattern and make informed decisions to enhance productivity, lower costs, and guarantee animal welfare.

Overall, employing IoT technology in farming is the most futuristic approach to overcome the food crisis and counter the increasing demands of a growing population. It has the potential to revolutionize the industry and address some of the challenges encountered by farmers, like limited resources, growing demand, climate change, etc.

We all are very well aware of the significant issue of this era: climate change. The changing climate is hammering productivity and leading to the food crisis. On the other hand, the uncontrollably growing population is amplifying the issue. The only possible way to control both major issues is to adopt the most potent solution that can resolve both issues hand in hand. The adoption of IoT in farming is the most extensive way to overcome both challenges. Not only in farming, but IoT can also be used to control carbon emissions and contribute to slowing down the rapidly changing climate. IoT also helps provide a better lifestyle by offering smart houses, cities, buildings, hospitals, and the list goes so on.

IoT Digital Transformation is on the Way to Change the Business Outlook

IoT Digital Transformation is on the Way to Change the Business Outlook

The Internet of Things, also known as IoT, is the interconnectivity of physical devices, vehicles, people, and objects with sensors, software, and network interconnectivity, allowing them to collect and exchange data.

Today, it’s not hard to access or collect data; it’s readily available. However, many processes, machines, and other technologies still need to be fully connected and become something the industry deems smart. This digital transformation is all set to begin.

As per Grand View Research, the global IoT devices management market size was estimated at 1.88 billion in 2022 and is assumed to increase at a compound annual growth rate of around 34.9 percent from 2023 to 2030. The growing importance of enterprises on controlling linked devices and enhancing operational efficiencies across industry sections would lead to an increase in the demand for IoT device management.

The continuous growth of IoT gives a clear signal that it will stay for a long time and will highly help and impact shaping the future. Though some processes, machines, and other devices are yet needed to be connected, it’s just a matter of time before they will need to be integrated into this technology-driven world. This indicates that the future is strongly linked to IoT, and its increasing demand and day-by-day expansion prove this fact.

A Faster and More Un(predictable) World

The continuous advancement of technology is forcing businesses to adopt the Internet of Things. It promises to fulfill the desire for efficiency and has become a necessity. In today’s rapidly changing and advancing world, it has become mandatory to maintain efficiency, and if one fails, it will lead to a huge failure. ChatGPT‘s technology is best to quote as an example to support this. Surprisingly, for the first time, Google has stepped into difficulty as they ignored that technology must continuously update to keep a sync with the dynamic environment.

The Internet of Things has become a game-changing technology that offers more predictability in an unpredictable world. IoT allows the device to collect and analyze real-time data from connected devices, which can be utilized to predict and prevent potential problems before they happen.

IoT Driving Transformation on its Way…..

Digital transformation means integrating digital technologies into all sections and processes of a business, causing fundamental changes to how the business operates and delivering results to customers. The current status of IoT, with its swiftly evolving technology and the increasing adoption of interconnected devices, is all set to bring pace to digital transformation across various industries.

By authorizing businesses to gather and analyze immense amounts of data in real time, IoT provides:

  • The optimization of business processes
  • The generation of new revenue ways
  • The development of innovative business models

Integrating IoT devices into business operations allows businesses to gain insights into customer behavior, enhance operational efficiency and improve overall customer experience. Hence, the Internet of Things continuous advancement and expansion is expected to drive digital transformation across industries forcefully.

IoT is Adding More Meaning to Technology Advancements

The features offered by IoT have eased the prediction process and made it less intimidating. The very influential Internet of Things has positively covered the digital and physical world gap, offering a futuristic environment that can sync with the changing technologies instead of being left behind. It can gather and analyze flooding data from interconnected devices to provide meaningful insights into various aspects of lives and businesses.

Various challenges have appeared with the growth of the Internet of Things, yet it has persisted and achieved its current state. Starting from compatibility challenges to data security and scalability. These are some initial installation issues while implementing IoT technology in businesses.

Businesses that embraced IoT as a newcomer played a significant role in resolving issues via testing and establishing the technology. As a result, businesses can now leverage the faster and more dependable implementation of IoT solutions, enabling smoother integration into their operations.

Effortless Interoperability: The Way to Leverage Seamless Technology

The complexity of IoT can be overwhelming for many, creating confusion and uncertainty. When many devices are added to an IoT network, managing and scaling the infrastructure tends to be a big challenge. The increasing number of devices and the immense amount of data generated by them can crash the existing systems, creating a challenge to manage and analyze data properly.

Business owners usually need clarification about upgrading their equipment and the different technology stacks involved in IoT. Now, it’s high time to shift the focus from a complex technology stack to a simple solution.

Old technology and processes should not limit your ability to make informed business decisions. The solution is not to remove them but to connect and boost them by linking them with advanced technology.

We hope to see even more innovative applications in various sectors as IoT evolves. The growth prospect is high, and businesses adopting this technology will be in a better place and reap its benefits.

As per Mckinsey, The Internet of Things has now become part of more than 200 applications in enterprise environments and is not just limited to large corporations alone. Early adopters have done trials and testing and are scaling IoT solutions throughout their businesses. The features and versatility of IoT technologies have resulted in several remarkable applications in various sectors like smart cities, connected cars, smart buildings, smart homes, e-health, and many others.

The latest IoT technology advancement has enabled all sectors to access non-existent features. For example, Business-to-Business (B2B) companies are now using Industry 4.0 technologies to create direct connections with their products in the field.

Upgrade your business- Take Action Today

The Internet of Things has come a long way and has become essential to our lives and businesses. The continuous growth and development of IoT and the increasing number of connected devices, combined with the need for efficiency and relevance, make the technology imperative to be adopted. By adding IoT, businesses can churn the maximum benefits and make the existing processes more efficient and cost-effective.

Key Factors to Consider for Cellular Connectivity in IoT Product Design

Key Factors to Consider for Cellular Connectivity in IoT Product Design

The Internet of Things, which had just a few applications before, is now part of almost every sector. Beginning from a smart bottle to a smart home, from smart buildings to smart towns, IoT has impacted every sector and will continue to do it. The integration of other technologies with IoT is also churning incredible results. Sectors, not part of it till now, are planning to embrace it with full potential.

IoT is diverse today, with a broad range of devices and applications connected with cellular connectivity solutions. By exploring various factors, product designers can possibly make the best connectivity options that suit the IoT solution.

This way, they are able to optimize the live operations of devices after they are deployed. Flexible connectivity is best for many installations, and to enhance this, the eSIM, wherever it is relevant, can support making the product more agile.

What aspects to keep in mind while considering cellular connectivity

Getting the proper cellular connectivity for IoT devices is crucial; otherwise, the whole purpose will be negotiated, leading to minimum output.

While designing for the IoT, one should consider the following aspects:

  • Device: The first thing to consider is the device because its deployment characteristics impact the choice of cellular connectivity. The aspects to consider are the lifespan of the device and the amount of power it requires to stay deployed. Mass deployments in remote areas, at the global level, or expansive locations require continuous power as they will likely stay in position for an extended time. 
  • Data: The second thing to consider is data- what type and amount of data will the device need to exchange? The device may send only a tiny amount of data or need higher bandwidth to exchange videos. It is essential to consider how the device application may develop over time, for instance, from sending audio files to adding video. It does not matter what data or volume is being transferred; the connectivity should be secure because mass IoT deployments offer a large attack surface with constant risk. Therefore, it is vital to consider data value and multi-network resilience. 
  • Distribution: If we talk about distribution, then we can simply say that it is a crucial consideration because network options and commercial arrangements will differ for national, regional, and international deployments. Having a single stock-keeping unit (SKU) for devices is always the best option, but that may not be feasible if devices targeted for different markets have different SIMs. In such cases, region-specific SIMs are to be implanted when devices reach their destinations for late-stage connectivity.
  • Coverage: This concerns the wireless technology which is used to connect devices. Low power wide area networks (LPWAN) (NB-IoT and LTE-M) are in favor, but their global coverage is quite in demand, and even at a national level, there are gaps. Make sure that your device has coverage and that there is no possibility you’ll need to deploy to countries with no LPWAN.

The phasing out of 2G and 3G

Many IoT applications were designed to connect over 2G and 3G. These networks are now being phased out; if we take the case of 3G, then switch-off has already occurred in many regions or is being listed in the to-do list in coming years. The main reason behind all this is that mobile network operators (MNOs) are trying to free up the spectrum for next-generation, cost-efficient, and better revenue-generating technologies. Most companies that use 3G for connecting IoT deployment will hold no place in their migration plans. 

But in the case of 2G, everything is slightly different as this technology has been entrenched in large deployments of IoT devices and machine-to-machine (M2M), especially across Europe. Therefore, there is a high chance that 2G will not be disrupted in many countries until the end of the decade. While this might sound like a far-off thing, future planning is critical for devices deployed for many years. 

There are 2G/3G connectivity options, each with its own features. These should be evaluated to assess their suitability for a new IoT device in design:


This is the best solution for stationary IoT devices that share small amounts of non-real-time data, are solar or battery-powered, and are located where other technologies would not be able to get a signal. NB-IoT provides low hardware and operating cost, making long-term mass deployment viable. It is battery effective and can support devices that stay in the field for a long, like sensors with low and intermittent data. It also has full signal penetration, the most profound reach of any low LPWAN, and can cope with basements or underground car parking even if sensors are installed below street level.

  • LTE-M (Cat-M1): This provides the powerful throughput speed and bandwidth of any LPWAN technology to manage the over-the-air (OTA) updates of the future. It also sustains a wide range of IoT applications but is best for low-power devices that need higher speed or two-way data transfer, like those supporting SMS or voice services. It can be used for both mobiles as well as stationary devices, as it allows cell yo cell roaming. However, as already mentioned, some deployments would need help with either NB-IoT or LTE-M for the coverage causes. Today, neither LTW-M nor NB-IoT is available on 4G, and NB-IoT is currently not supporting eSIM.

In cases where these limitations make LPWAN useless, companies can consider the following:

  • LTE Cat-1 and Cat-1 BIS: LTE Cat-1 (Cat-1 BIS being the single antenna version) is a grown technology. Hardware costs and power consumption are pretty high in comparison with LTE-M and NB-IoT, but for some usage, the advantages will overshadow this issue. It receives global support as Cat-1 is a standard 4G technology, and traditional roaming agreements mean global network access is possible using a single SIM SKU. It is appropriate for mobile applications and goes well with eSIM also. Lower latency and increased bandwidth make Cat-1 a better option for 2G/3G and sustain a wide range of IoT applications. It fits nicely for low-power IoT devices that need high-speed and two-way data sharing or mobility. It also has a three-to-five-year battery life or application that uses rechargeable batteries.

eSIM adoption is already in process, and it is anticipated to be adopted within smartphones, enterprise IoT, and the wearables markets, with integrated iSIM technology following 2025.

As per research conducted by Counterpoint, it is estimated that shipments of eSIM-based devices will cover almost two billion units by the end of 2025 from 364 million in 2019. The report also shared that most eSIM-based devices will have a hardware chip-based eSIM solution until 2025.

eSIM for flexible connectivity

eSIM is one of the best technology, known for its flexibility, and also supports OTA provisioning of network operator credentials. This implies that the same SIM can be used in each device irrespective of where they go, as connectivity can be provisioned later. It delivers the single SKU essential for operational simplicity, particularly for large international IoT deployments. This makes manufacturing more uncomplicated and more streamlined, and connectivity uses local networks at local rates.

Additionally, eSIM allows in-life network operator changes without needing to swap out SIM cards physically. Through this, companies can leverage new commercial arrangements and attractive deals.

There are a few points to be taken care of while designing IoT devices with cellular connectivity. First, the device themselves, the data they will share, and the targeted areas where they will be used. These aspects will be crucial in determining the right cellular connectivity choice.

The second point to consider is that network technologies will not exist forever, as companies who have already done or are in the process of migration from 2G and 3G will understand. Hence the lifespan of the technology is another factor to be kept in mind.

The benefit of some technologies is their flexibility – the eSIM, wherever possible, brings agility to IoT deployments. In all, an IoT connectivity platform provider can help in determining optimal cellular connectivity for each IoT use case. To enjoy the leverages provided by the IoT system, one should never ignore the importance of cellular connectivity and whether the device is compatible with it or not.

By embracing an intelligent approach to connectivity and choosing an IoT connectivity partner that comprehends the potential eSIM brings but also understands the importance of managing different use cases in different countries in different ways, IoT organizations should ensure that they can provide optimized IoT connectivity continuously. Different countries follow different regulations; like Brazil does not allow permanent roaming for IoT devices, they can connect by using a local carrier only. Thus, the case of keeping connectivity streamlined and seamless just by having a single connectivity platform from one provider is attractive. The platform provider can handle all the changes and manage all the integration. Apart from this, deals of this type protect the customer organization from changes like geo-political changes that might compel an individual organization to reconsider its connectivity provision.

Which Network is Suitable for Your IoT Infrastructure: Wireless or Wired?

Wireless or Wired Network: Which is Suitable for Your IoT Infrastructure?

Today, if we look around, we will get a clear view of how devices and smart products are dependent on data. From a refrigerator to a coffee cup, room ac to a smart home lock, street lights to a smart city, whatever is connected to the Internet of Things generates data. These devices are connected using either wired networks or wireless networks, depending on the need of the IoT system. Opting for the right and most-fitting network is crucial, as it determines the performance, safety, and future of the IoT facility. The option available comes with both benefits and constraints. But have you ever thought, what if you need a combination of both for your IoT facility? Is it possible to have such a network? Will it be able to connect multiple devices and adapt the future changes?

Let’s dive into the details of different networks present for the IoT facility.

Points to look into before picking the right network

Machinery in modern structures depends more on data rather than operators to function. This dependency on data has been triggered due to the introduction of the Internet of Things in the manufacturing industry. IoT-connected devices allow machine-to-machine communication in which devices in your facility can share information. IoT even allows transmission between devices and cloud computing infrastructures, which supports processing information.

The communication infrastructure of the installation delivers the data for IoT devices and M2M communication. It acts as a backbone of the facility’s communication. Therefore, businesses must think twice before choosing the network to connect their IoT installations. With the boost in the number of connected devices, the choice of the network has become essential for IoT-connected systems. The most popular classification between network types is wireless and wired networks. Both come with pros and cons, making it crucial to know which one will be perfect to complete the needs of the facilities.

While picking a network for your IoT facility, it is crucial to check different vital factors, including:

  • Cost: Cost is the primary thing to check before opting for a network; one should check the upfront and ongoing costs of each network, including installation, upgrades, and maintenance.
  • Security: Security is the utmost significant concern; it is crucial to know the standard of security offered and the potential for hacking and data breaches of the network.
  • Scalability: The capability of the network to stretch and adapt to changing and extending operations without negotiating with the quality.
  • Bandwidth: The amount of data your system should be able to handle; thus, choose a network that can match and complete the needs of your facility.
  • Latency: The latency needed to make the facility operations perform seamlessly.
  • Flexibility: The comfort and feasibility with which one can add or remove devices or make changes to the network.
  • Physical environment: The facility’s physical environment, such as any potential sources of signal interference and power sources, etc. Wired networks may be more appropriate for facilities with stable power sources, while wireless networks are best fit for remote or hard-to-reach locations.
  • Specifications: The specifications of the device that is connected to the network also play a crucial role. Some devices support only wired networks of specific protocols. Others might support wireless connection.

Besides the points and considerations mentioned above, the specific needs and constraints of the facility play an essential role in determining the right network for your IoT system.

Wired vs. wireless: Which one to opt?

Well, we can count on the factors mentioned above to produce a valid comparison between wired and wireless networks.

  • Cost: Wired networks are comparatively more costly in terms of installation as well as maintenance as they need the physical installation of cables. However, in the case of a wireless network, ‘n’ number of devices can be connected to a single wireless router. So, we can simply conclude that wireless networks are generally less pricey than wired networks.
  • Flexibility: As we know, wired networks depend on physical cables, making them less flexible compared to wireless networks. This can hinder in expansion or reconfiguration of your network, specifically when you need to add new devices or make changes to the existing physical layout of the facility. Hence, we can conclude that wireless networks are more adjustable than wired networks as they do not demand any physical cables.
  • Portability: Wireless networks can be employed in hard-to-reach areas, making them a good option for facilities that require mobile or readily available. Whereas wire networks do not have these advantages as it has no portability.
  • Scalability: Wired networks are less scalable as compared to wireless networks. This can create an obstacle in the process of expansion or reconfiguration of the network, especially when you add new devices or perform any changes to the physical look of your facility. Hence, wireless networks are more scalable in comparison to wired networks, as they can be extended and adapted with the expansion and transformation of the facility.
  • Security: In terms of security, wired networks are more secure and have less risk of signal interference or data loss. This makes them an excellent option for facilities that control sensitive data or demand high security. Wireless networks are more prone to security issues like hacking, security threats, signal interference, and data loss. This can place sensitive data or critical operations at risk.
  • Bandwidth: Wired networks are capable of managing large amounts of data, making them fit for facilities having high bandwidth needs. Wireless networks have limited bandwidth, which means that they may not be best for facilities with high data needs.
  • Latency: Wired networks face less latency in comparison to wireless networks, thus making them best for use cases that need low latency.
  • Stability: Wired networks are more stable compared to wireless networks as they are less exposed to signal interference or physical damage. This promises to ensure reliable and seamless connectivity for your devices.

Use cases of Wired and Wireless networks

Wired networks are used in facilities that demand large bandwidths, like data centers and manufacturing units. Wired networks are also best for critical systems that need constant, uninterrupted, and seamless connectivity, as they are less exposed to interference and outages in comparison to wireless networks.

On the other side, wireless networks are best for facilities with restricted space as they do not need physical cables and are easier to install and maintain. Wireless networks also fit facilities that need the skill to swiftly add or remove devices, as they provide excellent scalability and flexibility compared to wired networks.

For example, in the healthcare sector, a wired network may be the perfect option, as it provides stability along with security for critical systems.

But in a retail facility, a wireless network may be more appropriate as it offers greater flexibility and scalability in adding and removing devices. Walmart uses a wireless network solution for its stores to obtain real-time inventory tracking and boost efficiency.

A hybrid network is also an option

Apart from wired and wireless networks, IoT-connected devices can also opt for a hybrid network solution. Hybrid networks have the strength of wired and wireless networks and offer a balanced solution for IoT units.

For instance, a hybrid network could use a wired backbone for crucial systems and a wireless network for mobile devices, offering stability and security like a wired network with the flexibility and scalability of a wireless network.

Hybrid networks also provide many other advantages, like the ability to balance the costs and leverages of both wireless and wired networks. It also offers scalability, flexibility, and the ability to adapt to different device and application types.

However, hybrid networks are more complicated to implement and manage in comparison to single network solutions.

Whenever you opt for a hybrid network solution, make sure to consider the specific needs and constraints of your IoT system. Different factors like types of devices and applications, the physical environment, and access to power sources should be the utmost priority in the checklist. Besides this, it is necessary to ensure that the solution is scalable and can adapt to upcoming changes to the network.

Which one is the right network to choose?

Selecting the right network that can fulfill the needs of the IoT facility is the most critical decision, as it can affect the security, functionality, and efficiency of the devices.

This decision can be a challenging task as both offer pros and cons. On the one hand, wired networks offer stability and security; on the other hand, wireless networks provide flexibility and scalability. The selection between a wireless network, wired network, and hybrid network should be made based on the requirement and constraints of your IoT units. When deciding, one must also consider the cost, scalability, security, bandwidth, flexibility, and physical environment of the IoT system to ensure that it best suits the needs.

Consider investing some time to evaluate the options carefully; this will ensure that the IoT facility is well-connected and performs optimally, offering the data and insights required to drive business objectives.

How IoT Data Analytics Impact your business

What is the Impact of IoT Data Analytics on your Business?

Today, if we observe the trend and business processes, we can express that IoT solutions are changing the way of doing business globally. However, saying that all solutions provide equal benefits would be wrong. We can say that an IoT solution that shares data without analytics is like a symphony playing Mozart without a conductor. This means music is there but with no structure and loses its purpose, beauty, and meaning. We all know that there will be immense flooding of data by IoT, but the absence of a process to properly analyze the data would just cause complexity and noise without proper output.

The Impact of Data Analytics on businesses

Data is compelling and empowers by giving insights into all aspects of the business. It can assist organizations in refining processes, locating missing physical assets for cost saving, or even helping in defining new use cases for already available products. 

In the absence of data, a company can be just reactive or can assume future challenges and results. 

With the data offered by an IoT solution, a company can anticipate the emerging problem before it becomes complicated and resolve it as soon as possible. However, there are IoT data solutions that only offer the data and no other context to make it meaningful. In such cases, IoT analytics comes in as a savior. 

The capability to interpret the data before it comes in front of the user is compelling. For instance, data analytics can help alert a factory manager about the floor problem in real-time instead of waiting and then reading through reports on issues that have already happened. This can reduce time consumption and the possibility of errors. 

Analysis software is available in many forms, from one-size-fits-all products to low-code/no-code solutions to solutions that demand an experienced engineering team to execute and maintain.

Each type of solution has benefits and expenses, and your enterprise must determine the best-fitting solution to get the maximum benefit.

Well-known IoT Data Analytics Solutions

We all are aware that technologies like AWS IoT Analytics, on the one hand, are sophisticated and powerful but, on the other hand, very complicated to execute and demand a highly skilled engineering team having domain expertise. The advantages of the analytics solutions are- it offers customization. Everything needed in your business and unnecessary things to be left out. You can consider AWS IoT products like building blocks: you can get maximum from them, but they demand a lot of planning along with maintenance and oversight.

All businesses cannot afford or consider hiring an expert engineering team to execute these solutions. These businesses are inclined toward adopting a one-size-fits-all solution like Azure provides IoT Central

Azure even provides a solution analogous to AWS, but they are more successful in an out-of-the-box strategy. The straightforward analytics provided by this solution or any other one-sized solution can fulfill the requirements of many businesses. They enable businesses to connect promptly and design their dashboards and alerts within a few days or hours. If your business just needs simple alerting or has a limited number of devices to connect, then opting for this solution would be a great idea and cost-saving as well.

Customizable Solutions

The main challenge with the IoT data analytics solutions mentioned above is that they don’t provide customization options, are costly to scale, and might compel your team to do analytics using a third-party tool (which is no doubt another pricey option). Suppose you own a business having specific analytic requirements and many devices to be connected. In that case, a low-code/no-code solution, like the one proposed by Leverege (running on Google Cloud), could be a terrific middle-ground solution. This type of solution is customizable per the business’s requirement and, in parallel, does not need any technical expertise if it offers an end-to-end alternative and has analytics and an excellent alerting system, even without needing a dedicated and proficient engineering team. 

Irrespective of whatever solution you choose for a business to implement, ensure that a third-party tool to be integrated gives you maximum flexibility and value from the data. Tools like Power BI, Tableau, and Looker can be the best option to support your company in familiarly visualizing your data. If your company has already made a preferred analytics tool list, then it will enable your users to harness their expertise of that tool with new data sources.

Valuable Insights

Till now, hope that you have understood the importance and contribution of Analytics tools. It is essential to obtain the optimum value from IoT solutions irrespective of the products the business chooses. Neglecting these core capabilities may take your business to the loss side as it may miss valuable insights and maximize value. We can simply infer that IoT solutions, no doubt, enhance business operations but remain incomplete.

Data analytics gives direction and beauty to the solutions as it analyzes the data and offers favorable data to businesses to boost operations and amplify outcomes. Today, most companies are embracing the Internet of Things but are unaware of the importance of data analytics and ignore it. They face losses and then switch back to their old processes and operations. Therefore using IoT and offered IoT solutions must be opted for after attaining full knowledge.

Today, IoT is making its space in almost every sector, from smart homes to smart buildings, from smart towns to smart cities, and from smart farming to smart logistics; one can see the influence of IoT in every sector.

Similarly, data analytics is also contributing from its end to add more value to every solution offered by the Internet of Things. For instance, in the baking process, the availability of raw ingredients is insufficient, and it does not come together without a recipe. The recipe brings ingredients together in a beautiful way and offers the best. So, if you are still untouched by the magic of data analytics, then you might be losing a lot of benefits and leverages offered by it.

How will Smart Farming decide the Future of Agriculture

How will Smart Farming decide the Future of Agriculture?

Today, farmers are facing more pressure than ever before. Demand for food is growing as the population increases, whereas agricultural land is used for urbanization. Not just this, the challenges caused by climate change are also decreasing the yield. Sometimes drought, sometimes flood, and unseasonal rain impact the total yearly yield, ultimately causing a shortage of food. 

In the coming years, agricultural enterprises must operate in new and adapted ways to achieve sustainability and the capability to survive. The latest and most advanced technologies, falling under the roof of  Smart Farming, provide opportunities for farmers to overcome unprecedented challenges while passing the agricultural way of life to future generations. This has led to a boost in the yield along with the profit. 

Unfortunately, local farms, including some in the world’s most fertile lands, are also declining today. Therefore, creating a viable business is becoming challenging, and farmers must find ways to work more smartly instead of shedding sweat in the field. 

Historically, agricultural structures demand immense amounts of time, money, and effort to order, unload, store, plant, monitor, cultivate, and harvest crops. 

Advanced smart farming technologies provide new methods to simplify the workflow and enhance operations, leading to robust businesses.

IoT’s Shining Agricultural Future

The Internet of Things (IoT) is the soul of this transformation process. Intelligent sensors are implanted throughout a farm that behaves like the eyes and ears of the farmers. It collects information about crops, the equipment’s condition, and performance. One of IoT technology’s most crucial characteristics is its ability to expand visibility to new endpoints. IoT empowers farmers with real-time monitoring and analytics systems through which they gain more insights into their operations and the capability to handle them more efficiently.

Let’s know some of the ways through which smart farming improves agricultural enterprises and will continue to do so in coming years:

1: Monitoring Crop Growth

IoT in the agriculture industry acts like a superhero; it assists farmers in improving the crop’s quality and the land’s fertility. Sensors integrated with IoT systems collect nutrient density information, allowing farmers to adjust the amount of fertilizer to be used. If any symptoms of infestation are observed, using pesticides can eliminate the invasion. In actuality, data-driven agriculture always empowers farmers because the information received permits adjusting activities imaging the current conditions, handling the crop cycle more effectively, achieving efficiency, and enhancing crop growth.

2: Improving Greenhouse Operations

Greenhouse IoT sensors improve visibility and automate traditional manual functions, making the entire process more efficient and automated. They gather and transfer real-time data, like air pressure, humidity, temperature, soil conditions, and light levels. In fact, water consumption can be managed with SMS or email alerts if any defects occur. In modified systems, adjustments are made automatically. The processes turn out to be more cost-effective and accurate, and operational performance improves.

3: Tracking Water consumption

Agricultural IoT supports farmers in monitoring water tank levels in real time by tracking the amount of water being used and the amount of water left in the tank. Smartphones provide intuitive reports that analyze trends and make recommendations in many cases. Farmers can alter water usage as needed, making irrigation more efficient and economical.

Predictive Equipment Maintenance

Farmers can monitor their land, vehicles, and other assets through IoT. Farmers wish to reduce downtime as the equipment is essential to daily operations. It offers a clear view of the device’s performance, which updates as the equipment operates. Advanced data analytics provides them with the required management insights. Artificial Intelligence and machine learning measure an asset’s typical efficiency and wear and tear based on metrics like vibration analysis, oil analysis, and thermal imaging.  

Predictive maintenance models depend on complicated algorithms to determine when an asset must be serviced, fixed, or retired. These insights come before the device stops performing. This assures that operations and processes at farms are continuous and seamless. The other advantages include lengthened machinery lifecycles, reduced downtime, and productive outcomes.

Smart Livestock Management

We all know that livestock management and monitoring demand good quality of time, effort, and money. Traditionally, employees are hired on farms to look after the health or injury of the cattle. The process is undoubtedly costly, highly unreliable, and inefficient.

IoT solutions terminate speculation when diagnosing an animal’s health by monitoring temperature, heart rate, blood pressure, etc. The information is sent through the wireless network to an application in real time.

Farmers can then access the mentioned information using mobile devices:

  • Each animal’s health condition and location in its herds can be checked from anywhere at any time.
  • Farmers can also check the peak mating time and season of the cattle.
  • Farmers receive alerts if a metric falls outside of the normal range.
  • Most suitable gazing spots can be easily determined.

Benefits to Agriculture and Personalized Services

By embracing smart farming technology, farmers can develop more suitable approaches, and this proficiency changes the relationship between customers and retailers. The farmers can emphasize consumers’ interest in sustainability and eco-friendly food while focusing on creating new strands of their products. They can then charge a premium for their products, enhance revenue and create a more substantial business.

Smart sensors automatically observe every facet of everyday agricultural work. This advanced technology allows farmers to automate real-time data collection, boost production volumes, cut down costs, reduce waste, and much more things that increase productivity. These many advantages are compelling farmers to spend on technology.

According to the worldwide smart farming review, investment in this field will increase from $3.715 billion in 2022 to $7.040 billion in 2026, a CAGR of 13.65 percent. It means farmers will have added hundreds of millions of IoT sensors to improve their everyday operations.

Steering Efficiency

Smart farming technology provides businesses with new ways to increase agricultural efficiency, reducing costs and boosting revenue. In other words, smart farming technology is most significant for the growth of modern farming, increasing the yield to meet growing demand and will keep agricultural industries viable in the future.

What is the Impact of IoT on Global Logistics Development

We all know that today, the logistics market is dynamic and has become competitive. In the last few decades, logistics has been redesigned not just because of rising competition and circumstances in the world but also because the Internet of Things (IoT) has dived deeper into the logistics niche.

As per KPMG reports, market challenges are compelling participants to find new development points for the business and recreate existing supply chains, like rail transit in the Asia-Europe direction. A high empty mileage decreases the efficiency of cargo transportation and causes congestion on the decided routes. Let’s look at modern IoT logistics solutions; and how they impact international logistics and transport.

What is IoT in logistics?

We can simply understand this technology through examples such as IoT, a modern smart refrigerator door that orders the delivery of your favorite pizza and drinks, or a smart kettle that brews your coffee in one click from a smartphone. There are smart sensors in agricultural fields and drones with high-pixel cameras that allows farmers to monitor the condition of the soil. The world will become an entire Internet of Things complex in a few more years. 

However, when we mention the word Internet of Things, the first relation of this smart and emerging technology links with smart devices and tools that are physically available. Yet, IoT goes far beyond this and especially in global logistics.

IoT Logistics Examples

With the reduced cost of technology, the size of IoT devices also decreases. It is now quite apparent that devices and instruments are getting smaller with the growing market. Smaller sensors gather a more significant amount of data through creative and non-destructive placement.

Let’s assess what modern developments have been designed for us besides the sensors.

Warehouse & Inventory Management using IoT

IoT sensors track inventory and furnish data that can be utilized in trend analysis to presage inventory needs. Goods are automatically repositioned with stacker cranes’ assistance, production time and labor costs are cut down, and the human factor is balanced because the robot does not need leisure hours. This will bypass under-stock and over-stock situations.

Tracking Goods From Purchase To Delivery

Traditional monitoring depends on scanning an order between points of delivery. Special tags like RFID or Radio Frequency Identification simplify the search operation by connecting to the cloud and sending location data more frequently than scanning. This might get you back to the QR codes or Data Matrix times. Yes, they can also be used by analogy, but unlike FID, optical codes have to be scanned individually for each item, which takes time.

RFID tags reduce unnecessary expenditure. On average, the precision of inventory levels is approximately 65 percent. Employing RFID raises it to 95 percent. BigData monitoring under RFID will identify the most persuasive couriers and truckers, choose the most efficient delivery routes, and more. If delivery staff show unexpected results, they are sent for further revisions.

Drone Delivery

Drones are remotely controlled and unmanned aerial vehicles and droids that can improve the speed and efficiency of various logistics infrastructures. It is no more a trend or novelty as today’s developments are improving the accuracy and speed of their movement. As per the CompTIA poll, drones are employed by companies of different sectors and sizes. They enable the automation of business processes and allow smart inventory tracking, fast product transportation, and prompt delivery from stores.

Future Insights of IoT in Logistics

The proliferation of the Internet of Things in the international logistics market generated $34,504.8 million in 2019. Prescient Strategic intelligence shows a steady CAGR of 13.2 percent by the end of 2030. Nowadays, crucial assignments of logistics companies are the following:

  • Assure just-in-time delivery.
  • Offer transparency in the supply chain.
  • Ensure the transparency of the transport cycle and grade of services.

The success of any logistics company depends on effective stock and warehousing management, automation of internal business processes, prompt delivery, and assuring the safe storage of goods. Data becomes helpful when it passes through this cycle. Wireless networks like Bluetooth, GSM, Wi-Fi, etc., offer information exchange in logistics processes.

IoT has now become part of all the sectors where transport is involved. That is, its impact and usage are just not limited to logistics and transport. Instead, it is used in manufacturing and retail trade, including e-commerce, hospitals, construction, and many other sectors. This enables transparency of processes in the supply chain, better and more stable work of transport and employees, and saves company resources.

The logistics business is attaining a new height after embracing IoT, as it provides efficacious solutions aimed at working with Big Data, speeding logistics supply chains, and many other things. This is supported by other advanced trends like the proliferation of the 5G Internet, the fast growth of mobile applications, and cloud services.