Some Real – Time Examples of Robotic Process Automation
WEB Scraping
A web scraper is a tool by which users can retrieve data from various websites. The web scraper will take the information gathered and export the data to a spreadsheet for in-depth analysis. We need to spend hours of time browsing and gathering the required information, and this is a boring task and may even lead to mistakes. With the implementation of Web scraping, companies can retrieve the data effectively and reallocate human resources to those that focus on the operations and ROI.
Robotic Process Automation in Web Scraping uses bots to automate the retrieval of web data from the selected websites and store it. It gives quick results without the need for manual entry of the data, without any errors. Some examples of RPA web scraping are extracting the details from competitor websites, using Web scraping for retrieving financial information for in-depth market research, etc.
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Call Center Operation
Call centres involve various repetitive and time-consuming tasks that rarely require decision making. Using RPA in call centres for these excessive scales of rule-based functions will have a great impact, and it will enhance the experience of the call centre agents and the customers.
Generally, when a customer reaches the call center agent, he needs to identify the customer to get the necessary information about his orders, pending tickets, etc., in their database. During the retrieval of the customer information, the agent may face several issues which may affect the customer experience.
RPA facilitates the retrieval of customer details from various systems without switching to different applications. Deployment of RPA in the call centres will minimize the time for detecting the customer and viewing all the required information of the customer at the same place. So, the customer need not wait for a long time while the agent is retrieving the customer’s information. This will automatically enhance the customer’s experience by minimizing the duration of the call.
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E Commerce Operation
Robotic Process Automation plays a vital role in E-commerce operations. In E-commerce operations, RPA is used in maintaining customer relations, workflow management, auditing and finance, demand and supply planning, logistics and supply chain management, etc. RPA in E-commerce saves time and resources, minimizing the number of errors and improving the customer experience and the number of sales.
RPA as a service enables e-commerce companies to rent cloud-based software robots hourly, starting as low as 2 hours a week. This indicates that you can enjoy the benefits of RPA without any investment in the licenses and software.
File Transfers
File transfer refers to the movement of files from one system to the other. Whatever the reasons why organizations do not devote sufficient time to managing their data for backups, such processes may be completely automated with RPA solutions by giving them the necessary credentials, source and destination information for the entire job you want to automate. Tracking the complete process can be managed by the RPA solution; the human task may be generated when human intervention is necessary.
Automating the file transfer provides the benefits like reduction of human errors, saving administrative hours, simplifying the data transfer, removing the delays and bottlenecks, improving transparency and monitoring through automated reporting, etc.
Email is now the primary means of communication for companies worldwide. So, many organizations are looking to automate some parts of their email operations to serve clients more effectively and to enable humans to concentrate on the messages they alone can manage. Robotic Process Automation functionality has a user-friendly drag-and-drop interface enabling the users to automate email actions quickly and easily without the need for a single line of code. Users can enjoy the benefits of email automation while capturing inbound messages, monitoring mailboxes, and triggering an incoming email-based process.
Accounting automation
While industries have already started using RPA in their processes, Automation has also started to seep into the back office. With the help of “robot” software that can follow specific rules and actions, processes (that usually require human beings to perform a time-consuming intervention) can be automated.
Robotics Process Automation quickly transforms accounting and financial operations, probably faster than any other modern technology. The RPA in accounting can automate regular, repetitive, rules-based processes, allowing accounting staff to spend more time serving the clients and other more important tasks. In accounting, RPA can be effective and reduce processing times, minimize input errors, and reduce costs.
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Report Generation and Distribution
The use of spreadsheets and reporting are fundamental activities in many organizations and an integral part of strategic decision-making. However, generating effective reports can be a difficult process for your team, and many basic applications need manual input to compile reports. Report automation removes the need to generate reports manually, reduces the risk of errors, and frees the analysts so they can analyze the data to their best.
Through Automation, the report can be emailed to stakeholders, removing the manual involvement needed in the report generation/distribution process. Automation facilitates user-friendly time and event-based scheduling to allow reports to be generated, encrypted, uploaded, emailed to the management, etc., within a single automated workflow.
Telehealth and Virtual Medical Services
In every country, the healthcare sector is a complex system but essential for the well-being of the citizens, which includes health insurance, medical equipment, clinical trials, etc. Managing the information related to the clinical applications, scheduling the applications, third party portals and other related work is a challenging task. Integrating those systems is just as difficult and requires a lot of work.
And Maintaining the balance between the growing number of people requesting care and the administrative burden of hospital processes requires a more efficient and accurate administrative process. Using Automation in the healthcare sector can help healthcare organizations increase operational efficiency, reduce operational costs and reduce human mistakes in data processing.
Data has a significant role in various businesses for various reasons. It makes it possible to make decisions, identify trends and much more that is good for the company. But, big data analytics is not always simple. So it’s just impossible to do everything by hand most of the time. The analysis of all data by a human hand will be a laboriously long, arduous and boring process. That is why many different businesses are leveraging Robotics Process Automation to assist them in analyzing data. Companies use RPA technologies to manage a range of different processes efficiently. Some of the benefits of using RPA in data Analysis are:
Efficiency
Errors reduction
Minimized costs
Remote Working
Emerging technology like Robotic Process Automation is offering a number of productive ways to work remotely. For the past two years, employees have been working from home. It is challenging for HR to manually review the time records of the employees and their absences. Automating the process through the RPA can allow HR to validate records by verifying the active time of employees and the other factors. Bots can also remind the HR with alerts about being absent or any other configured aspect. This provides an opportunity for HR staff to manage time and attendance better.
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Conclusion :
All the above are some examples of robotic process automation. RPA has a wide range of benefits for organizations. Apart from these, there are plenty of other examples in which Robotic Process automation is helpful. RPA automates repetitive work and improves operational efficiency, data security and efficiency without compromising an organization’s existing infrastructure and systems. I hope this blog is helpful.
Microsoft’s Azure IoT Hub is a cloud-hosted manageable IoT service that acts as a central hub for messages. It provides bi-directional communication between the millions of devices it manages and the IoT apps. Further, it enables completely scalable IoT solutions, and virtually, we can connect multiple devices with Azure IoT Hub. It supports various messaging patterns like telemetry data from Device-to-cloud, file uploading from the device, and request-to-reply methods to control devices through the cloud. Moreover, through hybrid communication, it can connect from cloud to device and device to cloud. This feature makes IoT Hub more popular in the market.
Azure IoT Hub helps to track and monitor multiple events like development, failurr, and connecting devices. It supports various IoT workloads for the users by scaling to millions of devices concurrently. Also, it rises to millions of events quickly, enhancing productivity. It enables the building of completely scalable IoT solutions such as tracking and monitoring valuable healthcare assets, managing various manufacturing equipment, etc. Further, Azure IoT Hub also offers a secure communication channel with enhanced security. However, Azure IoT Hub provides reliable and safe solutions to various businesses by connecting millions of devices and applications.
Device library professionals are available for most commonly used systems and languages, allowing for simple device connectivity.
Stable communication with various device-to-cloud and cloud-to-device hyper-scale communication channels.
Processing of per-device state data as well as meta-data that can be queried.
IoT Hub device management:
The needs and priorities of IoT operators vary markedly across industries, from transportation to manufactured goods to agriculture to utilities. There is also a wide range of different devices used by IoT operators. IoT Hub can provide developers with the abilities, patterns, and code libraries they need to create management tools which can manage large amounts of data.
Devices that are connected to the IoT Hub can be handled using a variety of built-in features. That is to say-
All of your devices’ metadata and state data can be saved, synchronized, and queried.
Device states can be set per-device or in groups based on common power devices.
Using message routing integration, a device’s state change can be instantly reacted to.
The LifeCycle of Devices with IOT Hub:
Plan Operators could really generate a device metadata scheme which really aims to facilitate bulk risk management with ease.
Provision
New devices can indeed be safely added to IoT Hub, and operators could indeed soon realize about mobile applications. Device identifications and credentials are created using the IoT Hub identity registry.
Configure Data management activities, including such configuration changes and software installations, can be performed in bulk or directly while maintaining system security.
Monitor Operators could be quickly notified to any problems that arise, while also monitoring the device collection’s wellbeing and the position of every continuing operation.
Devices must be substituted, retired, or dismantled. To withdraw device identifications and qualifications, the IoT Hub identity registry is used.
Plan
It enables operators with a plan to build a device metadata scheme that allows them to easily and accurately perform bulk management activities. You can use the device twin to save device metadata in the style of properties and tags.
Configure
Azure IoT Hub allows device management activities such as configuration changes in bulk and firmware updates. You can do these operations either in bulk or by direct methods.
Monitor
Using IoT Hub, we can alert operators on the occurrence of issues by monitoring device collection health. Also, we can check the status of multiple ongoing activities. Here, we can apply a device twin that enables devices to report the conditions of real-time operations and update operations status.
Retire
At the end of the lifetime of service, the devices need replacement or deactivation after a failure or cycle update. Here, we can use the IoT Hub identity registry to rescind the credentials and identities of devices securely.
Device Management Operators:
IoT Hub contains a range of device management patterns, such as,
Factory Reset Reboot
Firmware update for configuration
Progress and status updates
These patterns can be tailored to your specific situation. Alternatively, these templates can be used to create new patterns.
Connecting Devices:
By using Azure IoT device SDK, you can create applications that run on your devices and interact with IoT Hub. Platforms supported include Windows, Linux distributions, and real-time operating systems. Currently supported languages includes C,C#,Java ,Python, and Node.js.IoT Hub is a key component of the solution accelerators and can be used to address IoT challenges in the implementation such as:
Device connectivity and management at a high volume.
Ingestion of large amounts of telemetry.
Device command and control
Enforcing device security.
Integrating with Other Devices:
IoT Hub can be combined with other Azure services to create complete, end-to-end solutions. As an example, use:
Azure Event Grid enables your company to respond quickly to critical events while remaining reliable, scalable, and secure.
To streamline business operations, use Azure Logic Apps.
Azure Machine Learning can be used to incorporate machine learning and AI models into your solution.
Using Azure Stream Analytics, you can perform real-time analytic calculations on information broadcasting from one’s devices.
Streaming data from your connected devices is possible thanks to IoT Hub message routing and IoT Hub integration with Event Grid. There are, however, distinctions.Message routing lets customers to route device-to-cloud messages to the a variety of endorsed service endpoints, including Event Hubs and Azure Storage containers, whereas IoT Hub assimilation with Event Grid is a highly scalable routing service that can be increased in to the third-party enterprise applications.
Routing the device data:
The message routing capabilities are built into Azure IoT Hub. This enables you to automate message fan-out based on rules. Message routing allows you to direct at which your hub sends telemetry from your devices. Routing messages to seamless access is free of charge.
Building end to end solutions:
Incorporating IoT Hub with other Azure services allows for the creation of end-to-end solutions. As an example,
Azure Logic Apps can be used to optimize business operations.
Using Azure Stream Analytics, you can perform real-time analytic computations on data from your devices.Azure Machine Learning could be used to add AI models and machine learning.
With Azure Event Grid, you can react promptly to important incidents.
Azure IoT Hub and Azure Event Hub
Azure IoT Hub and Azure Event Hub both are cloud services capable of ingesting, processing, and storing large amounts of data. They were, however, created for distinct purposes.Event Hub was created for big data streaming, whereas IoT Hub was created to connect IoT devices at scale to the Azure Cloud. As a result, which one you use will be determined by the needs of your company.
Security:
Businesses face new security, confidentiality, and compliance challenges as a result of the Internet of Things. Security for IoT solutions entails securely provisioning devices, step is implementation among devices and the cloud, and ensure security data security in the cloud all through handling and preparation.
IoT Hub enables information to be processed over secure channels of communication. So every device securely connects to a hub and can be handled securely. You could indeed gain access on a per-device basis, and devices are made available to the appropriate hub when they first boot up.
There are also a variety of authentication methods available depending on mobile applications, such as SAS SAS token-based authentication, individual X.509 certificate authentication for secure, standards-based authentication, and X.509 CA authentication.
HA and disaster recovery
The goals for uptime differ from one company to the next. Azure IoT Hub provides three main High Availability (HA) and Disaster Recovery (DR) features, which are as follows:
Intra-region HA: The IoT Hub provider implements layoffs with almost all layers of the service to provide intra-region HA. The SLA published by the IoT Hub service is achieved through the use of these redundancies, which are made available to developers automatically. However, while using cloud computing, transient faults must be anticipated; thus, appropriate retry regulations must be built into components that can be interacted with the cloud services.
DR across borders
Issues may occur when a datacenter experiences prolonged outages or other physical inability. It is rare, but intra-region HA capability will be unable to assist in these circumstances.IoT Hub, on the other hand, has a range of potential solutions for regaining from elongated outages or physical failures. In these cases, a consumer can choose between a Microsoft-initiated failover and a manual failover.
Obtaining cross-region HA
If the RTOs supplied either by the Microsoft initiated failover or manual failover are insufficient to meet your throughput goals, you can incorporate a per-device automatic cross-region failover component. The IoT solution in this framework operates in two separate data centers, one primary and one secondary.If the primary region experiences an outage or a lost opportunity of network connectivity, the technologies could use the secondary location.
Selecting the Best IoT Hub Tier
Azure IoT hub is divided into two tiers: basic and standard. If data is to be collected from devices and analyzed centrally, the basic tier, which is unidirectional from devices to the cloud, is preferable.However, when you require bi-directional interaction, such as the ability to control connected devices, the standard tier is preferable. The security and authentication features are the same in both tiers.
Azure IoT Hub Benefits:
There are multiple benefits of using Azure IoT Hub in real-time.:
Azure IoT offers different shortcuts for fast prototyping and deployment of code. It allows less coding to develop app templates, SDKs, plug-and-play device connections, etc. However, Microsoft has developed the best and simple IoT platform for multiple users.
Each Azure IoT service provides perks such as pre-built app templates with desired use cases within Azure IoT Central. In this regard, Azure Maps is the best example that enriches your IoT App with geospatial data.
Each service in this platform has a flexible pricing model based on its particular feature sets. Its simple approach and transparency help to separate the Azure IoT Hub.
Azure IoT has a strong support of partner networks similar to AWS. These include manufacturers of IoT hardware and solution developers.
Moreover, the major benefit of Azure IoT Hub is its strongest security feature. Further, Microsoft invests billions of dollars in Cybersecurity solutions every year.
What are the Microsoft Azure IoT Hub features?
Scaling your solution
Azure IoT Hub helps scale concurrently connected millions of devices and events/second.
It supports multiple IoT workloads easily. Thus, it gives you a highly scalable solution to ease your workload.
Securing your communications
Azure IoT Hub offers a safe and secure connectivity channel for smart devices to send and receive data.
It provides complete control over device access and connections with each device.
Each device authentication allows them to connect with IoT Hub securely, and they are securely managed.
Further, it supplies devices and appliances to the right IoT Hub upon booting the device.
Routing device data
IoT Hub offers an in-built message routing functionality with the flexibility to set up an automatic rule-based message expansion.
At first, use message routing to manage where your hub sends device telemetry.
There will be no extra cost for routing messages to various endpoints.
Further, no-code routing protocols will take the place of unique message dispatcher codes.
Integrating with other services
Azure IoT Hub provides integration with other Azure services to develop full-fledged solutions. The following integrations it supports:-
Azure Event Grid integration helps your business respond securely and reliably to important events.
Moreover, Azure Logic App integration will help automate various business processes
Azure Stream Analytics is useful for real-time analysis of data streams in your device.
Further, the Azure Machine Learning combination will add ML and AI models to the solutions.
Configuring and controlling your devices
Using an order of various in-built functions, you can easily control your devices linked with IoT Hub.
At first, it needs storing, syncing, and inquiring about device metadata and the status of all the devices.
Next, device condition setting, whether per-device or based on common features of devices.
Finally, through message routing combination, it automatically responds to a device-reported condition change.
Connect your devices
To create applications that run on your devices and interact with IoT Hub through Azure IoT device SDK libraries. It supports various languages, such as:-
C, C#, Python, Java, Node.js, etc.
Also, there are some protocols that IoT Hub and the device SDKs support to link devices. These include:-
HTTPS
MQTT
AMQP
MQTT over WebSockets
AMQP over WebSockets
Organizing bidirectional communication with millions of IoT devices
Utilize device-to-cloud measuring data to know the condition of your devices and define message routes to other Azure services without putting down the code.
Further, in the cloud-to-device messages, send commands and notifications to the linked devices and track message delivery with the approval of receipts.
Developing and running hybrid IoT apps throughout data centers
Azure Stack Hub is an extension of Azure helpful to offer a path to run apps in an on-premises ecosystem. And it delivers Azure services within your data centers.
Additionally, partners & customers will have the flexibility to create hybrid IoT apps that run wholly or partially on-premises. It is possible with Azure IoT Hub’s availability on Azure Stack Hub.
Create An Azure IoT Hub
Developing an Azure IoT Hub needs to follow the below steps.
Creating Azure IoT Hub
First, you must register and sign in to the Azure portal using credentials.
Then, you have to select the “Create a Resource” tab. After thiss, you need to enter “IoT Hub” within the search marketplace field.
Then, choose “IoT Hub” from the search outcomes and select the “Create” option.
Now, navigate to the Basics tab and complete the fields given:
Subscription: Choose the appropriate subscription to use within the IoT Hub.
Resource Group: Select the required “Resource Group.” Although, to build a new group, select “Create New” and enter the name you wish to use for it.
Region: Select the exact region/place for the IoT Hub location.
IoT Hub Name: Enter a unique/uncommon Azure IoT Hub name.
Then select “Next: Networking>” to continue Hub creation.
Here, you can choose the endpoints to connect to your IoT Hub. Further, you can select the default setting as Public EndPoint & Private EndPoint.
Now, go to Next: Management> to continue the process of IoT Hub creation.
Here, you will be given the option to accept the default settings.
Then, to move to the next screen, you need to select the “Next: Tags” choice.
Here, Tags include name/value pairs where you can assign the same tag to different resources and their groups to divide them and combine billing.
After completing the above, choose the “Next: Review + Create” tab to review/check your choices. Then go to the “Create” option to build your new IoT Hub.
Changing/Updating the IoT Hub
Here, you can modify the settings of your current IoT Hub that you built from the Azure IoT Hub pane. Below are the various properties that you8 can set for the IoT Hub.:-
Scale & Pricing: This property will be helpful to migrate to a new tier or to set the number of IoT Hub Units.
IP Filter: This property is useful to set the range of IP addresses the Azure IoT Hub can accept or reject.
Properties: It consists of various properties like resource ID, group, resource location, etc., available for copying and use anywhere else.
Shared Access Policies
Go to Settings and click on the “Shared Access Policies” option to view or change the list of various Shared Access Policies. Further, these policies mention the necessary consent to connect the devices and services with the IoT Hub.
Click the button Add and you will see a window “Add Shared Access Policies” opens. Here, it allows you to insert the new policy name and the permissions list that you wish to link with this policy. The permissions include the following:-
Registry Read and Write Policy
Service Connect Policy
Device Connect Policy
After this, click on the “Create” tab to add this new policy to the current list of guidelines.
Registration of New Devices to the IoT Hub
To register a new device-
Go to the IoT Hub navigation menu and open IoT devices.
Then insert a name for the new device within Create Device. After giving the device name, choose the “Save” option to create the device identity of the Azure IoT Hub.
Finally, go to the IoT Devices pane after device creation and open the device from the list. Then to connect with the IoT Hub, you need to copy the Primary Connection String.
Message Routing for Azure IoT Hub
For this, click on the “Message Routing” option within the “Messaging” section to see the Message Routing pane.
Then you have to mention the custom endpoints and routes for the IoT Hub.
Further, Message Routing is useful to manage how data is sent to your endpoints from the IoT devices.
Here, the first and foremost step is to add a new route. Then it allows you to add an existing endpoint to the Route or build a new one of the various types that supports it—for example, Blob storage.
Routes
You will find “Routes” as the first tab on the Message Routing Pane. Then click the +Add, to add a new route.
Then insert a Name for the Route.
After that, you will see Endpoint, from which you will have a dropdown list, or you can add a new one. To add it, click +Add Next to the Endpoint list and choose Blob Storage.
Then, after adding the Endpoint name, click on “Pick a Container” to select the Storage Account and the container.
For the “Data Source,” choose the Device Telemetry Messages.
Further, you need to add a Routing Query. In this instance, the messages with an Application property with the name “Level” equal to “Critical” are directed to the storage account.
Finally, you have to save the Routing file. Then you can go back to the Message Routing Pane and see a new “Routing Rule” appear.
Custom Endpoints
Go to the “Custom Endpoints” option, where many are already built.
Here, you can easily build new or remove the existing Endpoints.
Moreover, you can only specify up to 10 Custom Endpoints for the Azure IoT Hub.
Finding a particular IoT Hub
First Step:-
Go to the homepage in Microsoft Azure and choose the IoT Hub from the given list.
You click on the “Resource Groups” if you already know the resource group to which the Azure IoT Hub belongs.
Now select the option- “Resource Group,” and the drop down list will display.
Then the “Resource Group” screen presents all that group’s resources along with the Azure IoT Hubs.
After that, you choose your IoT Hub.
Second Step-
Click on the “All Resources” tab. You will find a dropdown list over there.
Then click on the Drop Down list and uncheck the Select All option.
After that, find “IoT Hub” and check the same.
Finally, click on the appearing “Drop Down” list to close it. It filters all the entries and displays them on your IoT Hubs.
Deleting/Removing the IoT Hub
You can also delete your IoT Hub in the following way.:-
Go to the Azure Portal.
Select the “Delete” option to remove the IoT Hub.
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Conclusion
In the above blog post we discussed the Azure IOT hub, configuration, integrations,routing, communication and security in a more detailed way. Had any doubts please drop your queries in the comments section.
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