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4 Ways to Speed up RPA Solutions Implementation in 2021

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RPA Solutions
Illustration: © IoT For All

The Robotic Process Automation (RPA) software industry has already surpassed every threshold. During the pandemic, automation became a business priority for digital transformation. There was an increase in demand for RPA solution architects and developers. RPA implementation became an important part of an organization’s operational activities.

With the increasing competition, speed up the RPA implementation methodology is essential. While you can hire RPA services and start system integration, a slow pace may be counterproductive. RPA adoption seems easy – the bigger challenge is implementing it at the right time.

This article highlights the best practices and ways to speed up RPA implementation steps in your organization. The right speed is essential to achieve ROI on RPA technology.

RPA Implementation Steps: How to Begin

Before you understand how to speed up implementing RPA, it is important to know the steps involved in automation. RPA tools and techniques are harder to comprehend – so it is best, to begin with, the right steps for implementation. It will also help you solve any RPA implementation challenges that you face during the process. 

Identify the Right Processes

The first step is to identify the right processes for automation. These processes would generally be identified through their high costs and volume, the margin of error, slow completion rate, and repetitive nature. An RPA solution can be implemented in mundane tasks and can be triggered through an RPA bot. You will achieve the best ROI only when you automate the processes that increase your efficiency.

Select an RPA Vendor

Once you have identified the right processes, you must select vendors for automation. You can build one RPA bot or an army of virtual workers who can complete your activities with minimal effort and zero error. Choosing an RPA vendor depends on the cost, features, and the complexity of RPA implementation in your legacy system.

Hire RPA Services Provider

You can use the free RPA tools for automating your mundane tasks. But it requires careful study and knowledge about RPA. You need training and experience for implementation. Hiring an RPA solution architect or a team of RPA developers from a certified company can save you a lot of trouble. They understand the process, develop bots to improve the process, and provide complete maintenance for your RPA software.

Develop and Test

The next step is to develop the RPA bots that will act with a certain trigger. Whether it’s data entry or providing customer information to the sales team, RPA bots need every activity trigger. Once they are ready, the RPA developer will test the bot for any issues and bugs. The goal is to ensure that the RPA technology bots are achieving the expected level of efficiency. Testing also ensures that all the improvements are in place.

Maintenance of RPA Bots

Installing and initiating RPA implementation continues with the maintenance of the RPA bots. Even though RPA software is a one-time investment, it needs regular maintenance and support. The RPA consultant will monitor the bot for any inconsistencies. If there’s a need for any new automation, they will build it without any hassle. They will remove or eliminate any bots & triggers that do not deliver the estimated results.

4 Ways to Speed up the RPA Implementation Process

RPA implementation is hindered when there are a lot of stakeholders involved. Mostly, the biggest RPA implementation challenges occur in convincing the management of its effectiveness. 

An RPA solution can increase the accuracy of the automated process by 50 to 70 percent. It increases the process efficiency by more than 75 percent and 95 percent in some cases. However, it is only possible when RPA technology is implemented at the right time. 

Don’t worry if you are running late in RPA implementation. Here are 4 ways to speed up the RPA implementation process and bring in more efficiencies in your organizational system.

Outsource an RPA Team

An in-house team of RPA developers is often the first thing that comes to mind. However, it is much better to have the right team than your own team. However, an in-house team for small and mid-sized organizations is costly and difficult to manage.

There’s still a shortage of qualified RPA solutions architects for implementation. You must hire an RPA services provider who offers skilled resources for RPA technology. These companies often have an RPA Centre of Excellence that enables them to deliver quality RPA solutions for different industries.

Choose the Right Partner

Often the wrong RPA implementation platform can lead to the biggest issues. Just because a vendor is popular, you shouldn’t select them. You must identify if they can automate the complex processes you have.

You have to ensure that the RPA vendor offers scalability. The larger your enterprise, the more bots you will need to automate the processes. The solutions should be accessible and have functionalities that easily integrate with a wide variety of systems. You have to ensure that there’s a minimal human intervention with the RPA software you choose.

Find Valuable Outcomes

This is probably the most important of the RPA implementation challenges you need to solve. You cannot enhance system-level performance by the integration of RPA solutions for invaluable operations. You need to find valuable outcomes for the bots as well as the developers that they will replace. Don’t underestimate the complexities of implementation and hire experienced RPA companies that find value in your process automation.

Standardize Success Metrics

It would help if you determined the success metrics for your RPA undertaking. You can incorporate the best RPA tools & techniques and still get average results if there’s no standardization to success.

There’s always the need for well-defined process mapping to identify the benchmarks you wish to achieve through RPA implementation steps. When you have metrics in place, you can delve deeper into the RPA process and speed it up as you know what you want to achieve. Whether it’s 50% more efficiency or 70% fewer errors, the standards you choose must have realistic values. Otherwise, you will sidetrack from achieving your goals.

Overcome RPA Implementation Challenges in 2021

RPA is enticing, challenging, risky, and rewarding. Initiating RPA technology implementation is easy. Speeding up the process to achieve the perfect ROI is difficult. The sooner you implement, the better your organization will be, and the quicker you will get a competitive advantage.

Coinsmart. Beste Bitcoin-Börse in Europa
Source: https://www.iotforall.com/4-ways-to-speed-up-rpa-solutions-implementation-in-2021

Cyber Security

Millions of Connected Cameras Open to Eavesdropping

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The administrator of your personal data will be Threatpost, Inc., 500 Unicorn Park, Woburn, MA 01801. Detailed information on the processing of personal data can be found in the privacy policy. In addition, you will find them in the message confirming the subscription to the newsletter.

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Source: https://threatpost.com/millions-connected-cameras-eavesdropping/166950/

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IOT

IoT: The Smart Cure for Sick Building Syndrome

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Sick Building Syndrome
Illustration: © IoT For All

The Coronavirus pandemic has made many companies take a long, hard look at the health and safety of their employees and buildings. Keeping staff happy and healthy is both ethically and financially important, and ensuring a safe workplace environment is central to achieving both of these objectives. 

Fortunately, with the development of smart technologies, companies are increasingly equipped to combine human feedback with real-time data, accurate monitoring, and automation to prevent phenomena such as “Sick Building Syndrome” (SBS).

What is Sick Building Syndrome?

SBS is a condition caused by being in a building, largely attributed to poor indoor air quality. The Consumer Product Safety Commission says that poor indoor air quality can be found in about 30% of new and remodeled buildings.

SBS can be difficult to diagnose due to the wide range of symptoms, which mimic conditions such as the common cold—headache, sore throat, itchy eyes, dizziness, and a runny nose. 

The key to identifying SBS is that the symptoms improve after leaving the building in question and return when the individual is back in the building. 

Building Manager Role

Although old buildings may be more susceptible to mold and other issues, SBS can occur in new and old buildings. New buildings may be more airtight and have new capering or furniture that emits irritants. That’s why all building managers must make it a priority to monitor indoor air quality. SBS is not only detrimental to public health but also severely undermines business productivity and profitability. 

The first step in improving air quality starts with understanding what may be wrong in your building. Common contributors to SBS include: 

  • Dampness, high humidity, and moisture
  • Poor upkeep of HVAC systems
  • A lack of fresh outdoor air
  • A lack of general ventilation 
  • Construction, remodeling, and other activities 

Preventing SBS

Smart IoT sensors can help property managers proactively monitor and improve different aspects of workplace air quality and keep SBS at bay in the future.

With today’s small, affordable sensor and integrated building management systems, it’s easier for companies to test indoor air quality and reveal the air quality characteristics that may contribute to SBS. 

Volatile Organic Compounds (VOCs)

The main contributors to poor indoor air quality VOCs are organic chemicals emitted from products or processes. If VOCs are present, you can generally smell them. 

Typical Source of VOCs:

  • Building materials
  • Furniture
  • Cleaning agents
  • Disinfectants
  • Air fresheners
  • Dehumidifiers

By placing smart sensors around the building that provide real-time data on VOC levels, relevant parties can effectively manage VOC risks by removing or restricting access to the source of the VOCs. 

The accurate, real-time, and localized nature of smart air quality monitoring means that you can isolate SBS threats in the building and address problems at the source. Smart sensors can help you hone in on the culprit, particularly when it comes to VOCs.

Managing Mold

Research has confirmed a link between the presence of mold and typical SBS symptoms. The formation of mold is often a result of high humidity, which means that a building’s humidity should be kept at levels between 30% and 50%. Wireless smart sensors can be installed at strategic points throughout the building to measure and maintain humidity levels. 

Carbon Dioxide Levels

Moderate to high carbon dioxide levels can cause symptoms such as nausea, vomiting, and dizziness. Wireless sensors connected to the IoT are a good investment to prevent excess carbon dioxide in the air. Along with monitoring capabilities, smart systems can be set to automated fixes when high levels of carbon dioxide levels are detected, such as automatically adjusting HVAC systems. 

Smart Technology Dose

Installing smart sensors linked to a central management dashboard is an affordable preventative measure for every building manager. With improved, cost-effective development in smart building management, today’s building managers are better equipped to reduce the risk of SBS. The more your business promotes good quality air, the better off your occupants—and your bottom line.

Coinsmart. Beste Bitcoin-Börse in Europa
Source: https://www.iotforall.com/iot-the-smart-cure-for-sick-building-syndrome

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IOT

Cost-Effective Solutions for Rail: Bearing & Wheel Sensors

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Piezoelectric Rail
Illustration: © IoT For All

Our road and skyways have become overcrowded with vehicles, which has created the need to shift to another transportation solution: railways. This shift has played a major role in pushing the railway industry to improve infrastructure and maintenance processes. Consequently, about 25 to 35 percent of total train operating expenses are for track maintenance needs. What is needed are cost effective rail solutions.

The need for solutions that can optimize the work in the railway industry has gained much more importance. These solutions will help detect defects at an early stage of their development, allowing an operator to repair the damage before it becomes serious. When a vehicle is scheduled for maintenance or overhaul, knowledge of the damage and severity is beneficial, resulting in fewer operational problems, optimizing the fleet availability, and reducing the overall losses and interruption expenses.

Mechanical Sensors

One of the solutions implemented is mechanical sensors. These sensors were applied to measure track geometry parameters. The electromagnetic technique was one of the primary tools for inspecting rail internal defects in highspeed networks until 1953 when ultrasonic transducers were introduced to railway inspection. Since then, various inspection methods have been used for monitoring the health of railway infrastructure or as a preventive measure against rail failures.

Rail axle bearings and wheels are essential parts of the train; any defect might result in severe consequences. Premature failure of rail axle bearings causes a significant increase in train operating costs and can impact train safety. Healthy bearings produce a certain level of vibration and noise, but a bearing with a defect causes substantial vibration and noise levels. Similarly, wheel defects on railway wagons have been identified as an important source of damage to the railway infrastructure and rolling stock. They also cause noise and vibration emissions that are costly to mitigate.

Wheel defects of railway vehicles have a direct impact in causing an increase in attrition and damage to the railway infrastructure. Consequently, this adds additional costs to maintenance and repair, leading to a reduced lifetime and availability of rolling stock. Early detection of wheel defects on trains plays a major role in providing the train operators with timely information on necessary repairs that can prevent further deterioration of the wheels and further damages to the railway infrastructure.

There was an increased focus on the quality of the measurement technologies used to support decision-making within the railway domain with the help of the data-driven railway in the last few decades. Traditionally speaking, a combination of high precision inspection against set standards or, where inspection is impractical, periodic action was used to support safety-based decisions within the railway. While safety is still the main priority, maintenance decisions have gained increased attention. Condition monitoring systems are designed to identify the condition of an asset and inform decision-making processes. Consequently, this helps reduce the incidence of urgent and costly unplanned interventions leading to improvements in performance and safety.

Sensing Technologies

Different sensing technologies monitor axle box bearings and wheels, such as vibration/acceleration, microphone/sound measurement, acoustic emissions/ultrasound, and thermal. Vibration, sound measurement, and ultrasound technologies are used to detect early-stage defects. On the other hand, Thermal sensors are based on detecting the heat generated by severely defected bearings and wheels.

Demand for even more cost-effective and environmentally friendly provided solutions was arisen by railway operators. This led to many technologies integrated into the sensors themselves as a way of cutting extra expenses. New sensors in the market, for example, are based on the vibration energy harvesting technology within the piezoelectric PVDF material, which is environmentally friendly and low-cost. This technology is integrated with the sensor’s design utilizing Piezoelectric PVDF material to convert vibrations into electricity. This technology is based on the cantilever structure, and as the cantilever vibrates, it generates electricity stored in a supercapacitor. Afterward, the electricity from the capacitor is passed to the sensor.

In conclusion, the current market is placing specific demands on the railway industry, resulting in increased needs for cost-effective and safety-oriented solutions. Rail axle bearings and wheels sensors play a major role in detecting early defects that may cause severe consequences. Energy harvesting technology plays its part in saving money and the environment as well.

Coinsmart. Beste Bitcoin-Börse in Europa
Source: https://www.iotforall.com/cost-effective-solutions-for-rail-bearing-wheel-sensors

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IOT

Cost-Effective Solutions for Rail: Bearing & Wheel Sensors

Published

on

Piezoelectric Rail
Illustration: © IoT For All

Our road and skyways have become overcrowded with vehicles, which has created the need to shift to another transportation solution: railways. This shift has played a major role in pushing the railway industry to improve infrastructure and maintenance processes. Consequently, about 25 to 35 percent of total train operating expenses are for track maintenance needs. What is needed are cost effective rail solutions.

The need for solutions that can optimize the work in the railway industry has gained much more importance. These solutions will help detect defects at an early stage of their development, allowing an operator to repair the damage before it becomes serious. When a vehicle is scheduled for maintenance or overhaul, knowledge of the damage and severity is beneficial, resulting in fewer operational problems, optimizing the fleet availability, and reducing the overall losses and interruption expenses.

Mechanical Sensors

One of the solutions implemented is mechanical sensors. These sensors were applied to measure track geometry parameters. The electromagnetic technique was one of the primary tools for inspecting rail internal defects in highspeed networks until 1953 when ultrasonic transducers were introduced to railway inspection. Since then, various inspection methods have been used for monitoring the health of railway infrastructure or as a preventive measure against rail failures.

Rail axle bearings and wheels are essential parts of the train; any defect might result in severe consequences. Premature failure of rail axle bearings causes a significant increase in train operating costs and can impact train safety. Healthy bearings produce a certain level of vibration and noise, but a bearing with a defect causes substantial vibration and noise levels. Similarly, wheel defects on railway wagons have been identified as an important source of damage to the railway infrastructure and rolling stock. They also cause noise and vibration emissions that are costly to mitigate.

Wheel defects of railway vehicles have a direct impact in causing an increase in attrition and damage to the railway infrastructure. Consequently, this adds additional costs to maintenance and repair, leading to a reduced lifetime and availability of rolling stock. Early detection of wheel defects on trains plays a major role in providing the train operators with timely information on necessary repairs that can prevent further deterioration of the wheels and further damages to the railway infrastructure.

There was an increased focus on the quality of the measurement technologies used to support decision-making within the railway domain with the help of the data-driven railway in the last few decades. Traditionally speaking, a combination of high precision inspection against set standards or, where inspection is impractical, periodic action was used to support safety-based decisions within the railway. While safety is still the main priority, maintenance decisions have gained increased attention. Condition monitoring systems are designed to identify the condition of an asset and inform decision-making processes. Consequently, this helps reduce the incidence of urgent and costly unplanned interventions leading to improvements in performance and safety.

Sensing Technologies

Different sensing technologies monitor axle box bearings and wheels, such as vibration/acceleration, microphone/sound measurement, acoustic emissions/ultrasound, and thermal. Vibration, sound measurement, and ultrasound technologies are used to detect early-stage defects. On the other hand, Thermal sensors are based on detecting the heat generated by severely defected bearings and wheels.

Demand for even more cost-effective and environmentally friendly provided solutions was arisen by railway operators. This led to many technologies integrated into the sensors themselves as a way of cutting extra expenses. New sensors in the market, for example, are based on the vibration energy harvesting technology within the piezoelectric PVDF material, which is environmentally friendly and low-cost. This technology is integrated with the sensor’s design utilizing Piezoelectric PVDF material to convert vibrations into electricity. This technology is based on the cantilever structure, and as the cantilever vibrates, it generates electricity stored in a supercapacitor. Afterward, the electricity from the capacitor is passed to the sensor.

In conclusion, the current market is placing specific demands on the railway industry, resulting in increased needs for cost-effective and safety-oriented solutions. Rail axle bearings and wheels sensors play a major role in detecting early defects that may cause severe consequences. Energy harvesting technology plays its part in saving money and the environment as well.

Coinsmart. Beste Bitcoin-Börse in Europa
Source: https://www.iotforall.com/cost-effective-solutions-for-rail-bearing-wheel-sensors

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