IoT

How Bioengineering and IoT can Increase Agricultural Production
admin
April 11, 2022
IoT

How Bioengineering and IoT can Increase Agricultural Production?

Today, the Internet of Things is involved in almost everything, which means it is becoming part of every sector, industry, and daily life. Everything would be entirely in vain if we did not utilize this otherworldly technology for the betterment and improvement of agriculture. 

We all know that with the increasing population, we need to improve the agriculture industry to meet the primary demand of every individual. Till now, with the help of digital technology, we have been able to solve some of the most significant issues existing in society, including food insecurity which is prevalent across the world. 

Combining IoT, bioengineering, and urban farming methods can be a perfect and situation-meeting solution to enhance agricultural production in developed and undeveloped countries. Modern food production methods are already failing to meet the rising demands. So, it has become high time for all the agriculture industry leaders to focus on it. 

We all know that the large-scale farming that is crucial to feeding an ever-increasing population is complex and challenging in a number of ways. On one side, agricultural production on a large scale causes a terrible effect on the planet through greenhouse gas emissions, deforestation, and the use of monoculture. On another side, a sudden pest infestation or disease can damage entire crop fields and contaminate the soils for years. 

As per the research conducted by the United Nations (UN), the world’s population will exceed 9 billion by 2050, which means the requirement for 60 per cent more food production to feed everyone. The UN further states that sustainability is a critical component in handling agricultural systems and production in the future. In order to overcome the challenges and meet the needs, agricultural systems managers are trying to reach solutions by switching to technologies.

Using bioengineering, IoT, and other technologies can increase plants’ longevity, distribution, and even natural resistance against different diseases. 

What are the Challenges for Agriculture Industry?

We all know the importance of the agricultural industry. The introduction of agriculture replaced the traditional nomadic cultures and planted the seeds for modern society. The earliest farmers domesticated plants and animals, and with the time being, high crop yield evolved.

In the 21st century, monoculture evolved as a low-cost, high-yield method of agriculture production. Though it provides enormous benefits, still it brings many problems like:

  • The adoption and practice of monoculture involve the continuous plantation of the same crop in the same field for years, reducing the soil nutrients.
  • Monoculture farms are also vulnerable to pests and disease, which sometimes damages the total yield in a single infestation.

However, bioengineering can help in disease eradication; at least, it has been proven in human beings. As per reports published by the University of California Riverside, scientists have been using bioengineering to stamp out deadly diseases like malaria. 

For instance, when genetically modified mosquitoes were released into the wild, malaria cases decreased by 37 per cent. Similarly, bioengineering technology can be employed for agriculture production by leaders in the industry to reduce disease and eradicate pests.

Analyzing Data and Bridging Gaps with IoT:

Innovative bioengineering methods are helpful but cannot eradicate hunger without help from the agricultural IoT. Data shared by IoT can provide valuable insight into what can work and what does not in different locations worldwide. Agricultural sensor technology is already part of countries like Germany, China, and the United States, and we have gathered a lot from the information provided by IoT connected devices.

Smart agriculture devices gather data, from soil quality to moisture content, and it even monitors livestock health. Sensors attached to the equipment can monitor the health of equipment to ensure that machines are running correctly and do not face any mechanical issues. Farmers can use sensors to identify the potential source of waste like water and pesticides and can utilize the data to make informed decisions to reduce unwanted costs without negotiating with the health of the soil. 

Sensors, along with IoT connected devices, can be beneficial for the agriculture industry as they can streamline the process of food from the farm to the dining table. Distribution of the produce is also essential, and IoT helps in this process also.

Reducing food insecurity in urban areas:

Food insecurity is becoming a prominent expression globally, but it can differ at different locations. Generally, city people are not in touch with nature and are deprived of natural food sources; and it is necessary to provide healthy food access to the ever-increasing urban population. With the integration of advanced technology like IoT and bioengineering, some agricultural industry leaders are looking for a solution, and urban farming has come up as an option to combat food insecurity.

For example,
San Francisco has become an example of feeding urban populations where at an indoor farm run by Plenty Inc., crops are grown in a carefully managed environment equipped with plenty of sensor monitors. To save space, crops are planted vertically rather than the traditional way that is in garden beds. Upon harvest, the bulk produced is distributed and sold locally.

Conclusion

The agriculture industry is broad and more complicated than one has imagined. However, advanced technology like bioengineering is at the vanguard of change for agricultural production. Farmers and agricultural industry leaders can utilize data from IoT to make better-informed decisions which ultimately improves crop production and potentially improves public health.

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How do Cellular Networks in IIoT Promise Scalable and Secure Connections
admin
March 2, 2022
IoT

How do Cellular Networks in IIoT Promise Scalable and Secure Connections?

Internet of Things has been an exclusive topic to be discussed for the last few years. We all know about the opportunities it unveils in business. How adopting this technology can add more benefits and success to the company. But do you know how the choice of connectivity can affect the performance of the solution offered by IoT? One must consider the network, its effective range, reliability, device battery use, how much data of different types it can transfer, and the speed for implementing Industrial IoT projects.

Many connectivity options are available, and cellular connectivity is the most popular as it is a simple, scalable, and secure way to connect industrial IoT devices.

Today manufacturers all around the world are stepping ahead to make their business competent and more efficient by integrating it with IoT applications as it can boost productivity, reduce equipment downtime and enhance the efficiency of factory operations and processes.

Cellular IoT networks and devices are cheap and widespread, alluring more interest. Many organizations have already deployed cellular IoT networks to cut out the different business problems and start smart manufacturing. Organizations establish connectivity to gather data from various devices to adopt these projects successfully.

Cellular Connectivity In Industrial IoT Application

Integrating connected devices with cellular connectivity has been a long-time attempt of industrial engineers in creating autonomous manufacturing equipment and factory automation systems. Mobile technology has offered the skill for organizations to seamlessly accelerate the speed and extend the data processing capability of the systems.

Cellular connectivity empowers companies to transmit and process large amounts of information in a jiff without the requirement to send all the data through a centralized IT infrastructure. This provides organizations with an opportunity to execute strategies for machine health monitoring with the aid of wireless industrial IoT sensors without any requirement to construct their infrastructure.

Influence of Different Cellular Standards on IoT Connectivity

Cellular connections are pretty flexible with different protocols. Mostly LTE, i.e. Long Term Evolution is the prevalent worldwide approach. IIoT service providers prefer it because of its lower cost, ease of implementation quality, and less power need.

Device vendors are launching new cellular IoT devices, gateways, IoT inclined routers and new solutions that fit into IIoT solutions like IoT apps, IIoT system integration, and device analytics.

Including cellular connectivity to extend IoT solutions will boost the range of Plug and Play Sensors applications, enhancing the efficiency of Industrial IoT roll-outs and fast reconfigurations to fulfil the business requirements. Robust connectivity is necessary to achieve critical information about the health and performance of the machines; hence industries are focusing on getting the latest technologies that provide faster and more precise information. For successful deployment of cellular IoT systems, solution providers and multi-national end-user companies seek solutions that offer worldwide support (2G, 3G, and LTE). These are already becoming part of businesses scaling IoT solutions and assuring seamless deployment worldwide.

eSIM

Cellular standards impact the performance, range, ease of development, reliability, security and cost of implementation for expanding IoT in the manufacturing industry. Traditional sim cards which are utilized in cellular IoT devices are confined to single network carriers. They need a technical to manually insert or replace sim cards which cause deployment bottlenecks, especially in remote locations.

These challenges can end with the latest eSIM platforms, which have a non-removable chip that can download the carrier profile over the air and permit multiple telecom providers to programme in advance so that the device can choose the best connection.

IoT devices with eSIM have a single sim card with a cellular module that offers the ease of deploying anywhere globally and guarantee dependable connectivity due to their ability to switch carriers without any need for physical human interaction.

These devices are a blessing for monitoring machines in complex and remote areas and help to slay logistical challenges during movement. All these features provide speedier scalability for IoT applications.

Benefits of Cellular IoT Connectivity

Today, cellular connectivity is attaining unexpected height for implementing integrated machine-to-machine communications that facilitate wireless condition monitoring of industrial assets. This is all possible because Cellular IoT connectivity enables high network dependability. The cellular IoT devices data (transfers with high data rates) are not disturbed by bad weather conditions. The distance between the device and the base location does not impact it compared to other wireless communication options. This shows that cellular connectivity provides the best coverage and the capacity to avoid overload problems. It also offers greater freedom of mobility that supports obtaining connectivity even in complex environments where equipment is not stationary. 

Mobile technology impressively transforms Industrial IoT applications and solutions because of its advantages. In IIoT, various manufacturing verticals will keep using cellular IoT devices as the most successful implementation.

Digitalization

Digitalization of manufacturing operations guarantees lowered downtime & enhanced productivity, and cellular networks are essential to accomplish it. Cellular networks provide organizations with the opportunity to use these technologies to speed their Industry 4.0 journey potentially.

The availability of cellular network coverage eases the work by making it prompt and cost-saving for manufacturers to keep a watch on industrial assets even in remote areas. The incoming of 5G provides a more robust opportunity for organizations to leverage data through faster connections, ultimately improving capacity to handle real-time information to discover the most fitting and highly potential Industrial IoT.

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Maximizing AI and IoT Business Value While Protecting Customers privacy
admin
February 21, 2022
Artificial Intelligence, IoT

How to Maximize AI and IoT Business Value While Protecting Customers Privacy

Today more than 9 billion devices potentially utilize Artificial Intelligence (AI) and the Internet of Things (IoT). No enterprise or individual is untouched by the influence of these latest technologies. They are using it through their smartphones, applications, cloud services, sensors, RFID systems, and various other means. These unparalleled opportunities are skyrocketing business operations and constructing deep customer relations. 

But all these benefits come with a situation that every business needs to address appropriately. Many business owners and executives prioritize customer privacy and security while utilizing exceptional opportunities of AI and IoT, and all this is possible through CIAM.

CIAM to Maximize Business Value

CIAM, Customer Identity and Access Management, is a sub-category of identity and Access Management (IAM)that aids in improving customer experience and security concurrently. CIAM integrates digital identity-based authorization with authentication to customer-facing applications. Businesses can opt for CIAM solutions either on-premises or as-a-service. They can cause it through interconnected identity APIs on web services and applications.

As per IBM Security, today, about 80 per cent of organizations are facing security breaches, and they stated that cybercriminals targeted customers’ personally identifiable information that is PII.

As per them, a compromised security breach on average costs approx $150 per customer. Thus, management is an essential security measure every business should add. There are four primary things CIAM does when implemented.

  • It facilitates customized authentication mechanisms for enterprises and their customers.
  • It improves the customer registration and login experience by reducing the risk of a data breach or account hacking.
  • It generates scalability regardless of the customer headcounts.
  • It Impacts AI and IoT amid expanding Security and Privacy Demand.

We all know that AI and IoT will be flowering in the coming decades. Businesses are trying to utilize these technologies properly to improve business techniques and methods. IoT promises to produce new mechanisms that can streamline business operations and boost customer experiences with the increasing business workload and hiking competition.

On the other side, AI is carrying a revolutionary change in time-consuming and tiring manual jobs by automating systems. It can also extract insight from granular customer data to enhance business efficiencies and create better customer engagement opportunities.

AI and IoT are the leading technologies that support modern business. However, these come with the concern of data privacy and security. Collecting and processing data using modern technologies might compromise customers’ privacy. But organizations that respect customers loyalty and trust use essential privacy protection techniques. Organizations can raise their standards and services from their competitors by benefiting from CIAM and privacy maintaining management systems.

Security and Privacy Challenges arising from AI and IoT:

Most progressive organizations need AI and IoT to expand and know the growing sensitivity of customer data privacy. Regardless, the dawn of AI and IoT drags in security and privacy challenges jiggling user trust.

IoT Security Challenges

With increasing IoT system connection, evolution, and expansion across any industry or organization, it becomes challenging to keep data and communication safe and secure. IoT is still in the blooming stage, along with its communication protocols. Business executives and customers find it challenging and problem-alluring to benefit IoT systems due to internet-based software attacks, authentification flaws, network-driven attacks and hardware attacks.

Connecting Data in AI and IoT systems

Organizations struggle with growing pains in adopting these technologies because of privacy reasons. IoT devices are implemented in sensitive areas like the healthcare, pharmaceutical and finance industries. Without securing the authentication of employees and customers, the entire system data and privacy could face significant risk. Thus, it is essential to ensure the security of an organization’s and its customer’s data while churning the best AI and IoT.

Inadequate User Experience with Conventional Security Tools

In IoT, user experience is highly non-interactive. Customizing IoT systems for excellent user experience without compromising security and privacy is complicated in legacy systems. The authentification mechanism in IoT devices does not provide a user experience. Lack of user experience affects the business value of AI and IoT-driven systems.

Disadvantages of Legacy Security Measures

An organization that use AI and IoT systems deploy security and privacy controls to mitigate the challenges mentioned above. There is no doubt that these legacy security measures can reduce data breaches, identity leaks and control access management but at the cost of lowering the potential of AI and IoT. They might mislead that adopting AI and IoT technologies are unsafe or risky.

As per a report, senior executives and managers are concerned that AI and IoT might expose customers and employees to strict privacy, ultimately reducing the potential of AI and IoT usage in the future. These hurdles will sustain for a long time until organizations switch from legacy security approaches to CIAM solutions.

Advance CIAM solutions enables AI and IoT integration without hammering user privacy, security, and user experience. Organizations can leverage CIAM solutions that align with the business guidelines yet provide cybersecurity and privacy protection while customers interact with IoT devices or AI-enabled systems.

Integrating CIAM Enabled AI and IoT

Security researchers and CIAM providers support customer identity and access control solutions while dealing with IoT and AI-driven systems. Such effective solutions help manage the challenges of governing, managing, safeguarding customers’ access to sensitive data. CIAM is necessary to balance AI and IoT-driven organizations with customer identity management. CIAM solutions double-shield the security by facilitating MFA, SSO, social identity-based login, PIN, etc.

CIAM solutions also have classically-minted IoT authentication methods and AI-based intelligent login procedures that enhance user experience that help in strong protection upon account takeover and data privacy without negotiating with user experience. 

CIAM can provide tracking user consent, understanding and logging activities and helps in recognizing user preference at a granular level. It prioritizes customer privacy and security while generating a rich user experience in these static devices. It also aids businesses in deploying successful AI and IoT solutions.

Aligning Solutions

Organizations can manage or align CIAM solutions as per business policies. It can even analyze data extracted by AI or IoT sensors using predictive models while clearing privacy hurdles. It also emphasizes eliminating and removing data on demand when any customer ends the service or relationship.

Here are some essential points that the CIAM solution displays at an enterprise level.

Adopting Solutions

Today organizations are embracing CIAM solutions. These CIAM solutions offer different authentication techniques and measures like two-factor authentication, social media identity as login, biometrics login etc. Furthermore, the CIAM solutions also provide the service of employee identity and access management (IAM).

Maturing

The maturity of CIAM solutions assists organizations in deploying AI and IoT systems without concern. Advance CIAM solutions have direct measures addressing AI and IoT-specific security concerns. Reports state that organizations using advanced and matured CIAM solutions are 33 per cent more potential to implement plans in deploying AI and IoT than organizations with low CIAM maturity.

Advancing

Advanced CIAM solutions allow organizations to overcome AI and IoT-related security challenges. As per reports, organizations having mature CIAM solutions are 26 per cent to 46 per cent more feasible to overwhelm AI and IoT-driven security issues.

Deploying

Deploying mature CIAM solutions supports the security teams to draft a solid plan. Organizations with progressive CIAM solutions are 20-52 per cent more potential to boost business value without impacting the user experience or privacy. Besides this, these solutions also minimize customer data breaches and produce insights from the granular data they gather. 

Artificial Intelligence has different building blocks like  Machine Learning (ML) and Natural Language Processing (NLP). Although AI can generate a range of insights into several CIAM processes, the start of CIAM systems requires organizational knowledge, policy setup and human interaction to gain value from AI. 

IoT sensors and devices capture an immense amount of data, including device location and even status. Such data are primarily stored in cloud-based servers. The scalability and distributed data from IoT devices increase data mishandling. Such data breaches also cause corrupt authentication. Organizations can use CIAM solutions for better authentication, regulatory data collection, and compliance in such cases.

Running on Automation

Today, almost all industries have adopted automation, which means most things operate through AI and IoT. Business owners and executives interested in utilizing IoT and AI in full potential take precautions about customer data security and privacy without negotiating with user experience. Organizations must employ mature Customer Identity and Access Management solutions to integrate smart authentication and authorization. These CIAM systems offer omnichannel interactions and authentication along with track while managing granular user consent, preferences, and activities.

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admin
February 3, 2022
Big Data, Data Analytics, IoT

How to Prevent Data Lake from Turning into a Data Swamp?

IoT devices drive in many opportunities to gather more data than ever before. However, the challenge has changed; it is not about ways to get data but how to store an immense amount of data once it’s gathered. This is where data lakes come in the role. To clarify, a data lake is not just about a cheaper way to store data, but when it is appropriately crafted, data lakes act as a centralized source of truth that offers team members valuable flexibility to examine information that influences business decisions. This is only possible when we potentially utilize data lake practices. Raw data is like crude oil, requiring a thorough refinement process to distil more valuable products like gasoline. In the same way, raw data requires complex processing to get the most beneficial and business-rich insights to take action and measure outcomes.

With the increase in the volume of available data and the variety of its sources continuing to grow, many companies find themselves sitting on the data equivalent of a crude oil reservoir with no feasible way to extract the actual market worth. Traditional data warehouses are like gas stations; data lakes are oil refineries.

Data warehouses are becoming insufficient for managing the flooding business’s raw data. They need the information to be pre-processed like gasoline. Data lakes are the one that allows for the storage of both structured or unstructured data coming from different sources, such as business and mobile applications, IoT devices, social media etc.

Any idea? What does a well-maintained data lake look like? What is the best possible way to lead to implementation, and how do they impact the bottom line?

Explaining Data Lakes: How they Transform business

Data lakes are centralized storage entities to store any information mined to get actionable insights. These contain structured, unstructured, and other information from relational databases like text files, reports, videos, etc. A well-maintained data lake has real prospects to change the outlook of the business by offering a singular source for the company’s data regardless of its form and allowing business analysts and data science teams to extract information in a scalable and sustainable way. 

Data lakes are generally designed in a cloud-hosted environment like Microsoft Azure, Amazon Web Services or Google Cloud Platform. The vision offers compelling data practices that offer noticeable financial edges. These practices are approximately twenty times cheaper to access, store and analyze in a data lake rather than employing a traditional data warehouse. 

One of the reasons behind the domination of data lakes is the design structure or schema, which does not require to be written until after the data has been loaded. Regardless of the data’s format, the data remains as it is entered and does not separate into silos for different data sources. This automatically decreases the overall time for insight into an organization’s analytics. It also offers enhanced speed while accessing quality data that helps to inform business-critical activities. Advantages provided by data lakes like scalable architecture, cheaper storage and high-performance computing power allows companies to divert their shift from data collection to data processing in real-time. 

Rather than investing hours excavating scattered deposits, it provides one source to extract from that ultimately decreases dependency on human resources, which could be utilized to create stronger partnerships across teams. A data lakes give time to your data scientists to explore potential business-critical insights that could advise new business models in the future. 

Best Practices from the Experts

There are challenges in the data lakes process; it acts like a stagnant pool of water-polluting over time if it is not held to the correct standards. It becomes challenging to maintain and susceptible to flooding from insufficient data and poor design.

What to do to set up a supreme system for business transformation and growth?

Here we recommend the following actions to prevent your data lake from turning into a swamp.

Set Standards From the Start

A dynamic structure is the backbone of a healthy data lake. This means creating scalable and automated pipelines, using cloud resources for optimization, and monitoring connections and system performance. Initiate by making intentional data-design decisions during project planning. Mention standards and practices and ensure they are followed at each step in the implementation process. Meanwhile, allow your ecosystem to manage edge cases and the possibility for new data sources. Don’t forget; it is all about freeing up your data scientists from tending to an overtaxed data system so that they can shift their focus on other priority things.

Sustain Flexibility for Transformative Benefits

A healthy data lake exists in an environment that can manage dynamic inputs. This isn’t just about varying sources, sizes and types of data and how it is downed into storage.

For instance, creating an event-driven pipeline facilitates automation that offers source flexibility in file delivery schedules. Setting up a channel with trigger events for automation, based on when a file hits a storage location, eases concerns whenever the files come in. It is necessary to support the data science team’s fluidity around rapid testing, failing and learning to refine the analytics that empowers the company’s vital strategic endeavours, eventually driving unique, innovative opportunities.

Develop the System, Not the Processes

Most people have a misconception that problem-specific solutions may seem faster initially. One of the best things about data lakes is that they’re not connected or centralized around any one source. Hyper-specialized solutions for individual data sources restrict themselves to implementing change and need error management. Besides this, when a particular process is introduced, it doesn’t add value to the system as a whole as it cannot be utilized anywhere else.

Designing a data lake with modular processes and source-independent channels saves time in the long run by facilitating faster development time and streamlining the latest feature implementations.

Handle Standard Inventory to Find Opportunities

Event-driven pipelines are the best option for cloud automation, but the tradeoff demands post-event monitoring to comprehend what files are received and by whom and on which dates, etc.

One best way to monitor as well as share this information is to establish a summary dashboard of data reports from different sources. Adding alerting mechanisms for processing errors produces a notification when part of the data lake is not correctly functioning as expected. It even ensures that errors and exceptions are detected on time. When an immense amount of data is flooding, it becomes essential to track and handle it in the best possible way.

Right inventory initiatives create stable environments where data scientists feel supported in discovering additional metrics opportunities that can help make more robust business decisions in the future.

Revolutionize Business Intelligence

Data lake revolutionizes business intelligence by chartering a path for team members to peer clean data sources promptly and in the most effective way. A pristine data lake accelerates decision-making, removes struggle, and enhances business model ingenuity. So, we can conclude that prohibiting data lake getting muddied is necessary to get the optimal outcome. One must follow a few data lake practices that can reduce future headaches and keep your data streamlined and humming.

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How IoT Is Modifying the Service Industry
admin
November 15, 2021
IoT

How IoT is Modifying the Service Industry

Internet of Things is one of the booming technology that has occupied an important place in the industrial sector and has become part of other futuristic development plans. Today, if you observe your surroundings, you might realize that things are updating and becoming smart. The real-time data shared by the equipment involved in this innovative technology has revolutionized every industry. The real-time data offered are ideal for encountering the challenges of service providers, either its restaurants to automotive shops, or it is a pet grooming shop. 

The topmost issue among other challenges is the growing expectations of the customers. Today customers are looking for fast and consistent service. As per the recent survey conducted, approximately 70 per cent of respondents opted for fast shipping as a decisive factor for online purchases. Now, here fast means immediate, with the same-day delivery market to increase at a rate of over 20 per cent through 2027. However, the expectation of customers is not just limited to e-commerce. Suppose the service provider fails in meeting the timeline of a client. In that case, they will switch to someone else- may be to somewhere that’s already embracing IoT solutions for a better customer experience. IoT offers a plethora of options that can address service challenges, including predictive maintenance, asset tracking, and advanced process automation. But the most significant benefit that IoT drags into service industries come from one capability: service tracking. 

Service Tracking with IoT Solutions:

Service tracking itself defines its meaning, i.e. real-time monitoring of the progress of a task; it can be anything, whether haircut or machine maintenance. An IoT solution empowers you with this visibility automatically. Here’s how IoT services can help in tracking works:

  • Multi low-cost sensors keep a watch on the ongoing task and monitors progress indicators. These are the assets of IoT, sensors implanted in equipment or posted at a distance, like cameras or RF devices. They are known as edge devices, and they accumulate data at the point of work.
  • Internet connectivity sends the data. Edge devices gather processed data but to share the same, they require wireless connectivity. It can be a dedicated narrowband IoT network or 5G network, or even Bluetooth.
  • A cloud-based data managing platform: Observational data stocks into a centralized platform on the cloud. Over there, it is converted into meaningful insight. For instance, if you run an oil change service, cameras installed in your workplace can send a video to the data platform, where software identifies a car rolling out of the bay. This indicates that an oil change process is completed.
  • Front-end software application offers human touchpoints. The final stage of IoT service tracking is sharing data with stakeholders. We can say that it means a branded app that updates your customers with real-time estimates—for example, informing customers that your car will be ready to take in 10 minutes. It can also include a reporting dashboard that helps you point process improvements.

We all know that every IoT Implementation is unique, and this is just like a small picture. It may surprise you that service providers need to pay attention to IoT as it provides extraordinary advantages for service companies.

How is IoT Service Tracking changing the outlook of Service Providers and their Customers?

Service tracking with IoT solutions charters a path to unlimited benefits. Ones who are already embracing IoT in service industries are enjoying the results. Lets us know how IoT service tracking is changing the vision of service industries:

  • Reduced wait times: When tracking your services can be done digitally, and precisely then entire scheduling operation becomes much less wasteful. You skip the best-guess estimates. You are aware of current processes and when the next guest room will be available because the system tracks the ongoing housekeeping processes. An automated system informs the customer about the availability of the room, mentioning the exact time. This type of predictive wait time eliminates frustration and improves customer service.
  • The involvement of an IoT service tracker ensures better operational efficiency. Service tracking saves customers time along with yours. With more efficient scheduling created using IoT solutions, you can see more clients and improve efficiency and profitability. Process data also shares the bottlenecks for workflow optimization. Above all, this allows you to improve productivity, leading to lower prices and providing a sharper competitive edge.
  • The inclusion of an IoT service tracker creates an excellent customer experience. The addition of IoT brings terrific customer experience, which is the key to growth in the service industry. Line-free service, progress updates and cost-saving without negating the quality allures customers to come back again.

No doubt, service tracking is just not a way through which IoT benefits service providers. IoT provides other services like asset tracking for goods and equipment. Sensors installed in core equipment can track the uses to establish a more accurate preventative maintenance. They can even share data with machine learning models to facilitate predictive maintenance.

IoT is one of the fast-growing technology, so there is more on the horizon. It holds everything that can improve services, draw benefits and save time.

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admin
October 19, 2021
IoT

How Can IoT Provide a Truly Effortless Experience?

IoT and IIoT have become a part of almost every industry. Their incomparable contribution to the growth and success of the services or products is remarkable. In fact, features offered by IoT and IIoT for customer service or field service experience have opened opportunities to boost customer loyalty to an exceptional level and have launched a new prospect for revenue generation.

However, the biggest challenge prevails in how to transform IoT advantages into an effortless experience.

The principle of the Effortless experience, described in the book by Matthew Dixon, has changed the concept of customer experience and shares what results in loyal or disloyal customers. The books share that

“Loyalty is driven by how well a company delivers on its basic promises and solves day-to-day problems, not on how spectacular its service experience might be. Most customers don’t want to be “wowed”; they want an effortless experience. And they are far more likely to punish you for bad service than to reward you for good service.”

The benefit provided by IIoT is visible across all industries, and it manifests itself in various forms for various applications. For instance, industrial production abilities enhance maintenance efficiency and labor safety, streamlining production and operational resilience.

Yet, IoT is not just meant to stay as technology but is about developing solutions that can deliver expected results for businesses. The value of field service organizations is rising day by day for operations. The service experiences offered by your technicians will imprint a lasting impact on your customers. It will determine the overall impression of your brand and will influence satisfaction, retention and future sales in a positive or negative way. Along with the delivery of notch-top services, customers expect effortless services too.

So, this makes it elementary to reexamining the way your organization provides services by resolving the complexities of the past and moving towards a future promising an effortless experience.

Concentrate on Effortless:

Is it possible for you to maintain the conversation when customers ask a question via one channel and then use another to ask for an update? Customers often expect history and context to be carried into future interactions regardless of how or when the conversation started. Yet many organizations still struggle and deploy different teams for various service channels.

Integrating the power of a centralized service console such as Salesforce Service Cloud with real-time and adding historical IoT telemetry from a Digital Twin will ease your teams’ work by providing full transparency, assuring context and history are available, 24*7. Besides, your team can carry diagnostics tests remotely by directly accessing historical data and cases along with service contracts plus KPI’s.

From effortless to predictable:

Advanced analytics tools and connected products have transformed the concept of knowing your customers, their assets, and equipment. Today, it is easy to acquire tones of relevant data that empowers you to predict the requirements of the customer even before they experience the problem.

Though the information is available but unfortunately unavailable to service teams within their operational tools, a no-code platform to utilize the power of IoT within their service console could be the best solution. This can proactively launch customer service operations to achieve an unparalleled level of customer and field service.

Make Simple Your Differentiator:

Delivering an effortless service can also assist in discovering new growth opportunities via AI/ML insights, which can contribute to great success. It can also boost operational efficiency by modifying the way you connect people, data, and devices using automated workflows and inventory management tools. Besides, risk can be minimized by effortlessly securing your organization, network, and people by identifying oddities and vulnerabilities to connect with confidence.

Finally, improve the user experience by providing differentiated and personalized effortless experiences to increase customer retention and business.

It is apparent that customer service organizations have been endeavoring for years to accomplish short wait times, excellent first-call resolution, and stretched support hours. Competent customer service programmers are not limited to these but also offer access to experts.

Above all this, customers have to be aware of their needs and where to look for a solution. Latest studies have found that organizations that can predict customer needs and make information availability easy are appreciated for excellent customer satisfaction. Additionally, customers are demanding self-service and want it to be effortless.

Conclusion

We all know that to provide an excellent level of customer service, it is essential to predict the needs of the customers before they encounter issues. Adding a no-code platform within their Service Cloud or Field Service environment can be helpful for your team.

We can easily conclude that an effortless experience for customers can be possible only by potentially utilizing IoT within the cloud service. By integrating the power of a centralized service console enriched with real-time and past IoT data, your team will enjoy complete transparency, assuring the context and history of customer contacts are accessible at any time.

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How did digital power contribute to the IIoT revolution?
admin
October 6, 2021
IoT

How did digital power contribute to the IIoT revolution?

Today, it is not a new thing if we provide digital controls to power supplies. Still, today many market drivers combine it to stimulate adoption across a surprising range of industry segments.

Advantages of Digital Power Emerge

Digital control in power supplies is an expanded sector; it includes essential digital signalling (like on/off) to an old analogue controller to complex operations, including a digital signal processor.

The latter represents an added cost; swiftly reducing chip price points and frequently sophisticated demand from manufacturers means that adoption is skyrocketing.

We can see the clear benefits of fully digital power supplies because of their much-advanced flexibility. The feasibility of adjusting power supply performance characteristics depending on different applications, environmental factors, and system performance variables expands the scope of practical benefits and cost savings.

Latest microcontrollers with DSP can examine the output voltage of every switching cycle, monitor fault and status conditions, react to warnings, and event logging is all possible options that would need hardware replacement earlier.
Today, when there is an increase in IIoT device demand and deployment, often in an application where physical access seems to be a challenge, this flexibility is powerful.

Besides, the location of many such devices on the network edge makes the value of real-time monitoring at this level valuable for multiple reasons, with predictive maintenance and enhancing efficiency.

IIoT value depends on data

Industry 4.0 of Smart Factory manufacturing applications are fit for digitally controlled power supplies. In smart factories, detailed logging can be integrated with other data in AI tools or dashboards to assure those performance parameters are managed in real-time. Another benefit is the ‘data lake’ of historical performance data can be extracted from these logs, facilitating predictive and preventative maintenance modelling to be highly improved. 

Programmable, Ruggedised Power Demand

The digitally programmable ability becomes necessary in ruggedized components and their designed operating environment, increasing product lifetime and better energy consumption.

Optimizing energy consumption by mapping and coordinating the power supply performance to the system power budget of particular value in extreme conditions, where thermal variations may influence standard performance.

As a result, not only IIoT enterprises are actively interested in digital power supplies, but recent reports share that global military requirements are increasing rapidly, and the reason behind it is digital power management.

Military and Telecom

One report released by Transparency Market Research predicts that the global next-generation military power supply market would reach up to US$ 20,111.7m by 2026, growing at a CAGR of 5.2% during the forecast period (2018 to 2026). As per TMR analysis, the programmable power supply segment occupies the maximum market share, increasing at a CAGR of 5.5% through 2026. Though there are many applications of programmable power supplies in the military, one fundamental purpose is to secure militarily significant sensitive electronic devices from grid power quality instability – whether everyday environmental factors or malicious actors cause that instability.

The telecommunications industry is another important growth market for digitally programmable and ruggedized power supplies as it needs robust and rugged power supplies that can be installed in towers. These towers encounter different challenges like high-salt marine environments near the cost to dusty city locations. It is essential to keep maintenance costs to a minimum to manage margins, particularly when viewing the new expenses of 5G network upgrades.

Implementation Advantages and Tips

A vast spectrum of applications and environments are leveraging from a digital power management solution, so it is a complex task to narrow down the field for a specific application is critical. The topmost benefits of digital power management are reduced cost and number of components, enhanced development time covers, and an enhanced number of DC-DC converter options. These are appealing features, but it also drags design challenges. Few considerations include general power supply design needs like overcoming unwanted ripple and managing direct current resistance (DCR), along with digital power management difficulties, precisely control algorithms, and firmware design. In fact, we can say that these have been the reason behind delayed digital power management implementations. The control algorithm is of central importance. Though it can be optimized and updated later, adequate expertise must be introduced early in the design process. 

Stability is one of the central design challenges which compelled analogue systems to get into a series of costly premium techniques. 

Digital power management systems can resolve this issue while offering compensation-free power converters with high bandwidth and enhanced transient response. This is possible by generating a completely synthetic current control loop that produces cycle-by-cycle phase current balancing. This process is essential for complex multiphase power supplies for significant CPU, FPGA and ASIC arrays that are generally used in rendering and artificial intelligence (AI) operations.

Through Digital power management, it is possible to control and monitor every setting through software, making designing and tuning loops more straightforward. The most valuable part is during debug time, the status and condition of the power supply become immediately apparent. Furthermore, the consequent strength to alter filters and neutralize the noisy conditions in software and near-real-time offers versatility in resolving any specific difficulties that come up and even accelerates the process.

Lastly, as the power supply should be functioning at an optimum level which implies that thermal performance should be excellent, in many cases allowing cooling provisions like airflow and heat sinks need to be optimized or even omitted. This leads to a slender design that can be suitable for restricted spaces and cabinets.

Future: Analog and Digital Combined

It is now apparent that digital control of power supplies is acquiring good attention across the board. There is an extensive list of benefits, from improving flexibility and reducing operating costs to increasing lifespan and integrating with broader IIoT strategies such as predictive maintenance and modelling. Even if analogue control has a role in low-power and manageable applications, the whole process will be digitized in the coming years.

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How to Improve Your IoT Device Security
admin
September 20, 2021
IoT

How to Improve Your IoT Device Security?

The Internet of Things has turned out to be the most life-changing invention of the era. The concept of connected devices has simplified day to day life and has upgraded the word ‘comfort’.

Internet of things has penetrated in every section, and with time it will become the spine of all the ruling industries. From smart mobile to smartwatch, from smart energy grids to IoT enabled industry machines, smart houses to smart towns, smart bicycles, smart hospitals, smart buildings, smart fitness trackers, smart refrigerators, smart medical sensors, smart security systems etc. If you see around, you will find out how things are becoming smart day by day, promising more comfort and less ambiguity.

We can simply celebrate the idea of establishing a network of things or physical objects embedded with software, sensors and technologies to connect and exchange data with other connected systems or devices over the internet that has become an idea of the century.

But, to protect this virtual network of physical objects or devices, we have to ensure robust IoT security because it helps shield connected networks and IoT devices. IoT security guarantees that any connected device, smart TV, smart refrigerators or smart locks, etc., is safe and free from hacking.

If IoT security work is executed precisely, it will be challenging for hackers to control IoT devices and steal the user’s digital data.

Let’s know how IoT security could be strengthened to establish a more secure and protected connected future.

Risk-Based Strategy:

A risk-based strategy is a mindset that empowers you to enhance the certainty of achieving outcomes by using techniques or methods that recognize threats and opportunities. This approach can be used during operations while designing the product or at product improvement stages.

Besides this, a risk-based approach also enables you to seize opportunities and skips from losses and enhances the entire working system throughout the organization.

Thus, we can easily conclude that considering a risk-based approach should be the main element of quality management systems, performance excellence processes, including ISO 9001:2015. The risk-based approach also helps you know the risk model of devices, and you can implement relevant security controls in an IoT system.

Updation of Firmware & Software:

IoT security requires timely updating of firmware and software, improving safety and offering plenty of other benefits.

For instance, timely updating software and firmware help repair security loopholes that might happen due to computer bugs. The updated process is meant to revise all the features present in IoT devices and allow you to add or update features to IoT devices and remove the older ones. Updating also allows your operating system to run on the latest version. Suppose, if you don’t opt for updating or renewing your IoT connected devices, then things might turn opposite, and you might not enjoy many benefits in your business.

Well, updating process requires some IoT security testing services to eliminate any kind of security issues within the IoT ecosystem. 

Nevertheless, several IoT testing techniques like threat modelling, firmware analysis, protocol testing, incident response testing, etc., offer more stable and robust solutions.

IoT Device Security Features:

If you own a small connected device or having a complex IoT device network, then try to match the specific security criteria with IoT security testing.

IoT has seven fundamental characteristics; based on your need, you can perform testing to ensure that all device features are working correctly, bug-free, and free from all hacking risks.

  • Connectivity:  In IoT devices, everything is connected, from hardware, sensors, electronics to systems; this means one has to ensure that connected hardware and control systems are able of making connections between various levels or not.
  • Things: Your IoT enabled device may comprise different sensors or sensing materials that need to be attached to appliances and items properly.
  • Data: We all are familiar that Data is the adhesive of IoT, and it is determined as the primary step towards action and intellect.
  • Communication: IoT enabled devices are connected with one or more systems; thus, this allows data to communicate while transferring or sharing through devices. In fact, communication is not limited by distance; it can take place over short or long distances. Let’s take the example of Wi-Fi. We all know that Wi-Fi is simple to connect with software for audio or video calls. Thus, in IoT, the data transferred from one place to another need to be analyzed and tested.
  • Intelligence: IoT devices hold sensing capabilities, or we can call Intelligence, and this capability is gained from Big Data Analytics and Artificial Intelligence.
  • Action: It can be defined as a consequence of Intelligence, and it can be based on manual interpretation or debates. For instance, in a smart factory, automation assists in taking important decisions to create more profits and reduce errors.
  • Ecosystem: It can be described as a place of the Internet of Things that connects to other communities, technologies, the picture, or goals the IoT can fit. The characteristics mentioned earlier of IoT should be considered while evaluating the security of IoT devices. Besides, following these characteristics enables you to check the security abilities to assure that IoT product is good to use.

    Furthermore, monitoring for factors allows you to establish specific answerability and responsibility lines for the IoT ecosystem.

Automate Security Whenever Possible:

We all know that there is a considerable demand for connected devices and endpoints. Therefore IoT deployment raises the need to identify the threat, monitor data and other related security levels.

However, the main goal of automation within the development stage will remain the same: to check the security.

Thus, it becomes necessary to check every feature of IoT devices to provide maximum protection to the user.

Data Encryption is important:

Sometimes, it is observed that many companies face a challenge in storing their data in an encrypted format. However, data encryption is the best option to improve IoT security as data will never be transferred in plain text. One can even go for an alternative option like VPN to protect confidential data if unable to encrypt data.

Conclusion

Internet of Things is serving more than expected; most enterprises leverage it to improve staff productivity and reduce human labour. IoT is a futuristic gateway to assure the potential use of resources and assets, the effectiveness of operations management, cut off operational costs, enhance customer services etc.

So, if you are planning to embrace IoT to achieve your business goals, then focus on improving the security of your devices first.

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admin
September 6, 2021
IoT

How is IoT Renovating Hotel and Hospitality Industry into Smart Ones?

IoT is already making so many industries and sectors smart and successful. No doubt, organizations are also embracing this new technology. Hospitality is another industry that devours the benefits of IoT by integrating it with internal management, and the output is more than expected.

We all know that housekeeping and maintenance have been the most critical components of smart hotel management. It is essential to keep a place running smoothly while maintaining quality, as it can affect the guests’ experience. When everything is done accurately, guests may not even notice that maintenance or housekeeping is being performed. In fact, issues are resolved before any guest sees it, or if someone notices it, requests are addresses immediately and seamlessly.

When things are not done as expected, it might go downhill much promptly- guests might complain, ask for recourse or write a negative review which ultimately causes business drop and no repeat business as well.

Thus, it is clear that the housekeeping and maintenance model matching guests’ needs and hotel management is challenging. Compromising quality and thoroughness by spending too little on housekeeping and maintenance may lead to guest dissatisfaction. Or spending too much on maintenance and housekeeping may result in appreciation, but you may feel that you’re spending more than the requirements.

So now, the most significant challenge is to know how to strike the proper perspective smart hotel?

Present Systems for Core Hospitality Functions and its disabilities:

Well, before switching to Smart Hotel, it is necessary to understand the state of current operations. To understand this, you need to ask few questions about housekeeping services like “How many rooms are cleaned every day or weekly? How much time is consumed in cleaning, and how many staff are engaged in it? How many rooms are allotted to a single staff and how assignments are made?

You even need to question on maintenance front, too, like “how often maintenance requests are made? What are the things which need frequent repair? How much is spent on maintenance?” It would be best to determine how often preventative maintenance is performed and how much it stops more significant issues from emerging down the line?
These small but essential questions are challenging to answer as these issues can be resolved only by employing the right system or process.

Many organizations discovered that their systems are:

Manual and Variable:

Apart from housekeeping and maintenance being hands-on and physical work, recordkeeping has also been manual. Every input must be made manually from room allotment to service requests, thus dragging the possibility of errors and sometimes ambiguity.

Disintegrated:

Even if the software is part of hotel management, there are separate systems for each function that troubles to find out who’s doing what or what happened at what time. The process for housekeeping can be different from the maintenance procedure. Sometimes, a system for maintenance requests is varied depending on the type of service or vendor.

Responsive:

We all know that most maintenance systems are dependent on submitting service orders to acknowledge or resolve things that are already broken. This results in a system that reacts to the emerging problems rather than one that actively works to fix them before it happens.

These different and manual systems have been part of the industry for a long time despite having limitations. Now, there are many firms and companies that offer software to digitize and collect housekeeping and maintenance operations. Yet, these solutions are still dependent on some level of human interference. Whether recording time spent completing a particular task or determining if something needs servicing indicates the degree of unpredictability and difference in the data as long as you do not have a smart hotel.

Monitor Smart Hotel Functions in Real-Time and Get Actionable Insights

The Internet of Things empowers hospitality industry professionals to view the current status of essential services like maintenance and housekeeping in entirely new dimensions, analyze past data in a centralized form and utilize data to extract actionable insights to improve the business.

Let us know the benefits of employing IoT based housekeeping and maintenance solutions.

Set Alerts for Dynamic Maintenance

Leak sensors on water lines and bathroom fixtures, vibration sensors on HVAC appliances and airflow sensors in ducts can be helpful. These sensors provide alert when things are damaged or broken, and it can even identify problems before it turns into a big issue. These sensors can be installed on an individual room basis or in common utility areas to get alerts. One can set a limit for moisture, airflow or vibration to get alerts to perform preventive maintenance or promptly address the arising situation accordingly. With sufficient available data, some IoT solutions use machine learning or artificial intelligence to execute complex models for predictive maintenance.

Better Staffing and Resource Planning

Attaching proximity sensors and indoor positioning beacons to either housekeeping staff uniforms or carts can provide data on rooms cleaned at any given time. As staff move from one room to another, these sensors capture the data of time spent by the staff in cleaning a room without manual reporting. By getting zone and room level data, hotel management can know the current state of rooms- cleaned or have to be cleaned. Occupancy sensors installed in rooms can inform staff with a real-time indication of which room to skip to avoid the requirement for repeated manual follow-ups. Collecting and analyzing past housekeeping data can help pinpoint operational bottlenecks to notify total staff headcount and cut housekeeping costs.

Enhanced Guest Experience

Interactive tablets are added in rooms for the comfort of guests to place room service orders like request extra towels or mark their room as ‘Do Not Disturb.’ When these sensors are integrated with housekeeping and maintenance data in a centralized system, front desk employees get access to the real-time dashboard of every room’s status, enabling them to respond to requests and send the required personnel. This ultimately results in an improved service experience where services are prompt and seamless to visitors.

Analytics and Administration Monitoring

Data collected from housekeeping, maintenance and guest service requests can be utilized to bring about reports and metrics like average cleaning time consumed per room, maintenance requests made per week, or average request fulfilment time. Sensors attached to HVAC appliances can be utilized to monitor energy usage and optimize it in response.

Thus organizations are aware of metrics that can be deployed for suitable operational changes.

Different Sensors, Networks, and Software to Meet Your Needs

Sensors used in an IoT solution will depend on the particular demands of the Smart Hospitality use case. For example, to track housekeeping activities through indoor positioning, current hardware technology consists of WiFi tracking tags, BLE beacons, or RFID tags. For maintenance purpose, leak sensors, there is ultrasonic-based and mechanical impeller leak sensors. Vibration sensor technologies comprise piezoelectric and MEMS-based accelerometers.

In Smart Hotel network connectivity, sensors can cooperate with the cloud through a variety of wired and wireless protocols, like

  • WiFi or Ethernet
  • LoRa and other LPWAN protocols
  • Cellular (NB-IoT, LTE-M)

In the end, you’ll need an IoT software platform to ingest, convert, and envision the data. This may also comprise the skill to connect or remove sensors to various appliances and assets, set alerts and create customized reports.

Thus we can conclude that IoT supports hospitality organizations to stay ahead of the curve in the guest experience and streamline operations.

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IoT Data-The key to the smart connected world
admin
August 23, 2021
IoT

IoT Data: The Key to The Smart Connected World

Today, imagination has the power to become real, and all this is possible through the Internet of Things. It has empowered humankind with the ability to convert vision, thoughts and imagination into reality. From smartwatch to smart Tv, smart building to the smart town, every impossible and futuristic dream is becoming part of day-to-day life. So, it is pretty clear that every connected product leads to almost endless possibilities, from enhancing products to creating synergies that almost seemed impossible in the past.

Businesses manufacturing smart products or using IoT to streamline efficiencies are dependent on one thing: data. Data plays a critical role in making the whole IoT system effective and efficient. The data points collected from connected devices communicating to one another create a tapestry of insights for organizations that hold the skill to efficiently and precisely curate and analyze them.

Let’s know about things more closely.

Smarter Products

Usually, there is a lot of guesswork with smart product development. Suppose we summarise the current tech status, then yes. In that case, we are still in the primary stage of IoT, especially in selecting the data connected product development though we are surrounded by an ‘n’ number of IoT connected devices and products. However, manufacturers are learning that smart products offer tremendous insight into which features are used the most, which are sometimes utilized and sometimes not.

No doubt, there is a wealth of information available on smart product relationships. Let us understand this by taking an example of a connected kitchen. In a connected kitchen, multiple devices interact with one another. The data collected shows the quantitative impact that connected products cause on each other, and in some cases, it even identifies relationships that have not been clear at first glance.

IoT data can inform manufacturers when something operates incorrectly, and which factor is behind the emergence of the issues.

For instance, it can check if it is an isolated incident, or the issue arises whenever specific factors leading to the problem occur? This information can highlight anything from fundamental performance problems to possible safety issues. The data permits manufacturers to analyze it and enable them to make intelligent updates to the product or develop a new one, or in some cases, it suggests discontinuing the product altogether.

Safer, More Efficient Production

To utilize the values provided by IoT data to the next meta-level, it is essential to check how connectivity can help in the development of smart products.

The Industrial Internet of Things, i.e. IIoT, is the next new thing of the IoT revolution. In the manufacturing sector, connected devices offer a wealth of information related to certain aspects of smart product development.

As discussed in the smart kitchen example, data from connected devices can inform managers about production delays and the possible reasons for this delay.

Suppose there may be lags from one stage of the manufacturing process to the next, and that may not be detected without the connected data.

Sensors attached to the devices also warn about the part of machinery that needs to be repaired or is about to fail altogether. This gives a manager the ability to address the issues before the fall down happens and prevents the possible production slowdown or failure.

IIoT data can also help in discovering possible manufacturing safety hazards, like dangerous interactions between connected machinery. Besides this, smart wearables can observe the health status of the employees working in the plant. It monitors the vital signs, which can signal possible health issues. By integrating past and present data, it is possible to improve the overall safety of the plant, which ultimately results in better results.

Thus it is clear that either for uniform operation or to ensure the safest possible work environment, IIoT data offers insights into managing a continuous flow of production, which ultimately plays a vital role in delivering a product to market and ensures fulfilment post-launch demand.

Getting Data Where It Needs to Be

Gathering data and churning valuable information from it is a significant step toward market differentiation. The connected devices offer extensive data, and it is crucial to segregate valuable data from the flooding data. 

Now, its time to know the three things that every organization needs to do:

  • Crush the silos: We are crossing the stage where each department had its own sets of data that never went beyond its four walls, and this whole system is essential as it associates with IoT data. The entire system of IoT data is dependent on how data interacts to produce new insights. Today, innovative product manufacturers who embrace IoT on a micro and macro level are the ones who will shine in the coming future and will benefit the most. They will ensure that appropriate data gets to those who want to use it.
  • Share progress updates: When disruptive new insights are available, make sure that stakeholders know them and demonstrate why insights are vital to individual departments as well as organizations. This whole process, which involves sharing information, ensures that everyone is aware of the overall status of the product and its current development stage.
  • Avoid oversharing: It is undoubtedly imperative to enhance data sightlines, but it should not overload stakeholders. There is an immense flow of data that might eat up time in making helpful reports, but it would lead to a delay in the project and might hit critical product development.

Wrap up:

IoT holds a great future; in fact, we can say that IoT is the future. Coming decades will be transformative for innovative product manufacturers who comprehend the art of IoT and its data analysis. These future-oriented companies will offer products featuring more personalized, powerful, and intuitive services than ever before. These IoT-based organizations will create a new digital ecosystem where everything will be interconnected and inform each other. So, be ready to see a world where devices communicate and offer the best possible assistance and solutions.

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