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Showing posts with label TMA Solutions. Show all posts
Showing posts with label TMA Solutions. Show all posts

Friday, February 28, 2020

Blockchain development in Vietnam


Vietnam Blockchain country is a big project for turning Vietnam into the next blockchain ecosystem on the world map.
The target is to connect with leaders, policy makers, businesses, profit and non-profit organizations in the blockchain ecosystem in Vietnam.
Infinity Blockchain Labs (IBL) says that if the campaign is successful, Vietnam’s image will be known as a pioneering country of a new technology by international investors. The project is expected to attract an abundant foreign investment in local technological start-ups.
One of the pilot projects is “Fruit chain” which is a solution to retrieve the origin of farm products on the first blockchain platform in Vietnam. Fruitchain is developed by IBL aiming to retrieve transparent information in value chain of the products. 
This project was tested on Cat Chu mango in Dong Thap Province. This is the first step before applications of blockchain technology are applied largely in agricultural area.
In addition, another significant organization of this campaign is Vietnam Blockchain Club. This is a non-profit organization of IBL, which is for connecting other people, sharing knowledge, testing new ideas and building blockchain applications.   
Especially, Vietnam Blockchain Club and IBL are official members of Vietnam Blockchain Branch founded by Vietnam E-Commerce Association (VECOM). The branch focuses on sharing knowledge of blockchain or training blockchain skills for people and business community.
In front of a bright blockchain future of a global digital economy, VECOM suggested Vietnam promote blockchain researchs and applications. Specifically, on April 23rd 2018, VECOM established Vietnam Blockchain Branch. The branch opened officially on June 8th 2018 at the Vietnam Blockchain Summit (VBS) with the topic “From Technology to Policy”.
Furthermore, the branch will associate with authorities and develop policies to improve legal framework as well as instructions, legislation to create an auspicious environment for blockchain applying in Vietnam. Besides, the branch organizes training courses to nurture resources and support start-ups activities of young talents.
IBL’s mission is to push social advancement by developing blockchain's potential and strength to make breakthrough solutions. Moreover, IBL’s vision is to become a leading center in research and developing blockchain technology and apply practical applications in business activities. Finally, further target of IBL is to boost Vietnam’s position as a blockchain country as well as the top choice for international projects.
About us:
TMA Solutions was established in 1997 to provide quality software outsourcing services to leading companies worldwide. We are one of the largest software outsourcing companies in Vietnam with 2,600 engineers. Our engineering team was selected from a large pool of Vietnam IT resources; they are well-trained and have successfully completed many large and complex projects. Please visit us: https://www.tmasolutions.com/   

Friday, October 18, 2019

Internet of Things in Vietnam: Current situation and development solutions


Despite achieving some initial achievements, Vietnam's Internet of Things (IoT) ecosystem exists some inadequacies such as: there is no real IoT application that has a strong impact on social life. Although the IoT market is "hot", hardware and software suppliers are mainly foreign partners...To exploit the potential of IoT development in Vietnam, we need a common roadmap and policies to all elements of the IoT ecosystem; reference foreign experience in building a national research and development (R&D) system on IoT; Creating some pioneering projects to improve competitiveness.

Regarding the market, IoT in Vietnam is a "hot" field, attracting many technology companies to participate in research and production. In addition, many other applications are in beta and require more time to mature and market. However, among the large-scale implementation projects of IoT, the majority of solutions are provided by foreign businesses.

Vietnam does not have any real IoT applications that are having a strong influence on social life. In the coming time, applications in the field of smart transportation such as non-stop toll collection, traffic cameras, technology taxis are predicted to be IoT-related applications. Potential fields such as e-health, smart agriculture, smart real estate will need more time to have IoT applications suitable for Vietnam.

In general, the overall overview of Vietnam's IoT ecosystem is gradually being completed. Initially, a number of IoT applications have been implemented. However, to exploit the development potential, Vietnam needs to implement some basic solutions:

Firstly, forming an innovative and entrepreneurial ecosystem, which emphasizes the role of the state in creating conditions to support and promote the economic impact of IoT industry in the fields; building communication network infrastructure with 5G generation; building and unifying IoT standards; enhance security, safety, security.

Secondly, it is necessary to have a common roadmap and policies for all components of the IoT ecosystem for the parties to "shake hands" to develop. It can be said that the research and development issues on IoT cover a very wide range. It is not limited to a specific technology of information and communication technology but covers almost all fields from hardware technology, software, communication technology, management. Network management, database. Not only that, it is also related to techniques and technologies of other fields such as automation, precision engineering, environmental technology, agriculture and other industries. Therefore, to achieve the goals that IoT aims to require research cooperation in many different fields to solve the problems, to create platforms, applications of IoT services.

Third, refer to foreign experiences in building a national system of research and development on IoT. Several countries in the region, have formed a national IoT research and development system, as a result of the 13th Five-Year Socio-Economic Development Plan 2016- 2020. That system includes businesses such as switchboards and distributors that provide IoT system development and operations. Universities and research institutes focus on researching key technologies and standards organizations responsible for setting standards for IoT across the country.

Fourthly, to build competitive advantage, the Government plays an indispensable role in creating a number of pioneering projects to improve the capacity of small and medium-sized enterprises in order to create competitiveness in the market. domestic market, as well as international market orientation. IoT is in the early stage of development, has not been completely shaped, especially the standards in connectivity, security and the number of IoT devices for the Vietnam market are still low, not attractive enough for firms. International focus on providing comprehensive solutions. In this context, we need to consider joining the IoT value chain. This requires sectors, levels and businesses to actively participate in.

About us:
TMA Solutions was established in 1997 to provide quality software outsourcing services to leading companies worldwide. We are one of the largest software outsourcing companies in Vietnam with 2,400 engineers. Our engineering team was selected from a large pool of Vietnam IT resources; they are well-trained and have successfully completed many large and complex projects. Visit us at: https://www.tmasolutions.com/

Tuesday, September 17, 2019

Salary of Artificial Intelligence engineers at Vietnam could be more than 20,000 USD/year



TopDev, a Vietnam IT recruitment platform, states that Artificial Intelligence (AI) and Machine Learning (ML) have reached new heights and will be a key trend for businesses in the future. They can handle vast amounts of information, as well as boost sales, increase customer experience, and allow IT staff to do more important tasks. 

"With the wave of investment and development in Vietnam in recent years, large companies have started to research and come up with many AI solutions and ideas. Not only large companies, hundreds of startups have also been applying these technologies directly to their products. This is the most obvious sign of a strong technology trend in Vietnam." TopDev's stated. 

In particular, according to a TopDev’s survey, the salary that employers pay AI engineers can be up to 22,000 USD/year. In terms of age, a report from TopDev shows that about three-quarters of developers are now 35 years younger. Vietnam Developer market is considered a young group compared to other countries in the world. 

TopDev said, particularly in the Vietnamese market, there are currently many large and small startups developing potential projects directly related to AI and Machine Learning, creating mutant values for the entire technology industry in general. Because of this development, the salary and the heat of AI engineers are expected to increase sharply in the coming years.

About us:

TMA Solutions was established in 1997 to provide quality software outsourcing services to leading companies worldwide. We are one of the largest software outsourcing companies in Vietnam with 2,400 engineers. Our engineering team was selected from a large pool of Vietnam IT resources; they are well-trained and have successfully completed many large and complex projects. Visit us at: https://www.tmasolutions.com/

Sunday, August 11, 2019

Blockchain technology predicts the future of the financial industry in Vietnam


Image result for blockchain

Dr. Chris Berg from RMIT University in Australia said that in the context of the current industrial revolution, Blockchain is increasingly known as a technology with great potential in the world as well as in Vietnam.

With preeminent features such as high security and indelible, technology experts evaluate that Blockchain will be applied in many fields such as financial technology, banking, manufacturing industry, services, supply chains. education. In addition, Blockchain is also used in government agencies to manage population and transport data.

Taking specific examples of banking and finance, Blockchain technology allows managing data, assets and securing transactions.

Blockchain technology with complex algorithms and high security allows to disable data modification intervention and greatly reduce the possibility of errors when compare complex information from various sources . Blockchain also eliminates the need to use an intermediary (third party), contributes to speed up payment and reduce costs in transactions.

Because of these benefits, this technology is being promoted in interbank transactions, helping to ensure a higher level of security than traditional trading methods. "Blockchain is one of the driving forces of today's 4.0 industrial revolution. Blockchain is also the foundation for the application of artificial intelligence, automation and big data technologies." Dr. Chris Berg emphasized.

According to experts from RMIT University, the development of Blockchain is also an opportunity for Vietnam to explore, exploit and apply in many fields, especially in manufacturing and financial development. Because of the huge potential for application in the financial industry, Vietnam can embark on a study of Blockchain technology to create great leaps in the future. According to Dr. Chris Berg, businesses in Vietnam are also interested in Blockchain technology at the supply chain optimization level as an application to monitor the flow of importing and exporting goods.

"It is expected that we will replicate Blockchain undergraduate and postgraduate courses, hoping to deploy them in Vietnam at the beginning of 2020," said Dr. Chris Berg.

About us:

TMA Solutions was established in 1997 to provide quality software outsourcing services to leading companies worldwide. We are one of the largest software outsourcing companies in Vietnam with 2,400 engineers. Our engineering team was selected from a large pool of Vietnam IT resources; they are well-trained and have successfully completed many large and complex projects. Visit us at: https://www.tmasolutions.com/

Wednesday, July 24, 2019

6 hard truths coming from 5G that we are going to face

Image result for 5g

Embrace it or disdain it, the 5G data revolution is coming either way. 5G's ultrafast speeds will soon land on new phones, starting at the high end. But we've already learned what these first-generation 5G phones will be like, and they shed light on some of the challenges that everyone might face in these early days of 5G. We've tested 5G speeds in multiple cities around the world, from Los Angeles to Seoul. We've been wowed. We've been frustrated. But each time, we learn something new about the 5G experience.

5G phones are in very few pockets today, but this next-generation wireless technology is widely accepted as the most significant advancement to come to phones in a decade. The new technology is characterized by ultrafast speeds that can download movies in seconds and enable huge chunks of data to transfer between the phone and the network with limited lag.

But 5G has also been the subject of intense focus by countries whose governments see the race to 5G as a proxy for their political and economic strength -- just look at how 5G is embroiled in the trade war between the US and China.

Here are our biggest takeaways about 5G data so far, based on the testing we've done over the last few months.

1. Consistency is more satisfying than speed

For some future uses of 5G, pushing down a lot of data really quickly will let you do cool, resource-intensive things on the fly, like play smooth, real-time games with high-res graphics and participate in lag-free video chats while walking down the street.

Carriers with faster 5G speeds theoretically have the advantage over those that don't in how quickly they can get you the data you need. And yet, the high-frequency spectrum that makes those skyrocketing speeds possible for 5G, called millimeter wave (mmWave), isn't good at traveling long distances, or getting through glass or walls the way that 4G can. That makes coverage limited.

Bouncing between 5G and 4G speeds has been frustrating in our real-world tests when, in one location, your entire Netflix series could download in 3 minutes, and in another, it takes over 10 minutes.

We had a better overall experience using Sprint because its 5G network covers a larger area, which kept the data flowing more predictably. Sprint uses a different layer of the spectrum, called sub-6Ghz, or sub-6. Those longer wavelengths don't bring quite as much speed, but they do travel farther, even through building and car windows.

The fastest-possible downloads are exhilarating, but in these early days, the rush doesn't last.

2. Gap between have and have-nots will widen

That rush you get when you download a whole season of a TV series in mere seconds isn't just exhilarating, it's addicting. The baseline changes. Even in my early tests, I caught myself feeling disappointed if I "only" recorded 400 megabits per second on the Speedtest.net app and not a gig.

With carriers, phone-makers and even presidents feeding the 5G hype machine, it's easy to see how a bias for ultrafast speeds could develop among everyday people. It's easy to see how people who don't live in the right metropolitan areas, or who live in rural surroundings, will trail behind in 5G adoption.

Some countries -- like the US, UK, Australia, South Korea, and Switzerland -- are ahead of the curve with 5G, while other world powers -- China, Japan, Russia, for example -- aim for a 2020 rollout.

As with the switchover from 3G to 4G, staggered adoption is to be expected. But when the gulf between 4G and 5G speeds -- and what you can do with them -- is so large, it's quite possible for that gap to widen even more.

We found two notable exceptions to this emerging sensibility. One is that 4G networks will get faster alongside 5G growth. The other is that in countries with exceptionally fast 4G service, like Australia, we won't see dramatic differences in real-world activities over 5G and 4G -- at least not at first.

3. 5G phones are expensive 

Phone prices are already spiking year over year, far outstripping the cost of inflation. 5G raises those costs.

5G phones have to have a compatible chip to connect to 5G networks, which means mobile chipmakers can charge more. So far, most 5G phones we've used so far have been premium devices, which means you're also tacking on extra for fancier cameras and other specs.

4. But we don't want to pay more for 5G

The cost of the phone doesn't even consider the cost of service. Carriers have spent billions of dollars building out 5G networks. In the US, at least, the plan is to recoup some of that expense by charging you more per month to use 5G data (perhaps a lot more of it, too).

But we don't think today's spotty 5G service is worth paying more for, not right now. Verizon has temporarily waived its $10 per month 5G surcharge. In Europe, the trend is to bundle extra services into your unlimited data plan -- without charging exorbitant fees. Vodafone will charge for unlimited 5G based on the speed bracket you want. For example, you'll pay less if you don't mind slower 5G speeds, and more if you want to stream video.

We think European carriers are on the right track. More people will upgrade from 4G to 5G if they sweeten the deal, not if they sour it with charge upon charge.

Here's how to pick the best 5G network when the time is right.

5. You may also pay a price with battery life

You could pay more than just cash for 5G speeds. CNET's global testers noticed that using 5G on phones seemed to tap their battery reserves faster than 4G networks.

After at least four hours apiece of relentless 5G testing, the batteries on our test phones drained significantly. In the case of some phones, four hours of testing completely zapped the Mod attachment, which cut off 5G capability.

6. The weather could get in your way

Scientists worry that 5G radio signals could throw weather forecasting out of whack, but it's the weather itself that buyers should also consider.

Soaring July temperatures brought the point to bear during two of our tests. Some phones use the high-frequency mWave spectrum, which puts the devices at greater risk of overheating, especially when completing resource-heavy tasks like streaming video or creating advanced photography effects.


About us:

TMA Solutions was established in 1997 to provide quality software outsourcing services to leading companies worldwide. We are one of the largest software outsourcing companies in Vietnam with 2,400 engineers. Our engineering team was selected from a large pool of Vietnam IT resources; they are well-trained and have successfully completed many large and complex projects. Visit us at: https://www.tmasolutions.com/

Applying RPA in healthcare and its advancements

Image result for rpa healthcare

Technology is growing at an unimaginable speed and the impact it has on every sector is unfathomable. A report by Global market insights pegs the growth of the Robotic Process Automation (RPA) market to reach $5bn by 2024. According to this report, the healthcare segment specifically is expected to be one of the fastest-growing sectors over this forecast period.

Healthcare organizations are increasingly becoming conscious about improving costs as well as the quality of service to consumers. In India, a key challenge organizations face is managing and processing the information they currently possess as physical documents or paper trails. This includes information from internal and external sources, billings, claims management, patient enrollment, reports, etc. Integration of this data can help healthcare organizations identify existing gaps across all processes and automate mundane, repetitive tasks as well.

Currently, several leading healthcare organizations globally are piloting RPA initiatives while working on integrating RPA tools within their existing IT environments. Primary RPA use cases in healthcare are centred on improving throughput, reducing manual effort and efficacy of standardized, large-scale processes. For example, speeding up claims data processing and claims management for insurers, lowering FWA (fraud, waste and abuse) in claims management and sharing information with patients, setting appointments and improving patient engagement using chatbots. RPA, along with cognitive automation can help accelerate patient support in various channels to speed up clinical support, monitoring medical lapses, and feeding information the patients are looking for.

A leading U.S. revenue cycle management (RCM) service provider leveraged an RPA solution that fully automated the service provider’s complete eligibility and benefits confirmation process. The system, running 22 hours a day, five days a week had 23 software bots automatically extract patient appointment lists from each healthcare provider’s practice portal across all provider locations, prioritize the appointments for further processing and extract appointment details by accessing different applications and screens. This further led to consolidated output reports to confirm whether patients are eligible for benefits and validate and update eligibility and benefits details in each portal.

In another deployment, a hospital in Texas was challenged with the anticipated need to increase staffing from 350 professionals to more than 1,100 in less than a year. They streamlined processing of their monthly data load that was error-prone, tim e-consuming and costly, all with the use of RPA. The deployment also enabled them to validate payment accuracy on test claims, manage and monitor day-to-day activity and process the low-to-medium complexity work, that signifies majority of claims collected and tuned it to process many common controls.

Another successful utilization of RPA was used for direct data capture deployment to connect disparate data systems. The solution automates the extraction of all provider information from the customer’s system into a unified spreadsheet for easy lookup. A software bot was deployed to update new provider information daily. All information was uploaded into a single view within the interface, that resulted in simplified data storage and retrieval, reduced workforce demand and flexible, scalable bot deployment.

A downside of leveraging RPA in healthcare is that it can only process structured data and work with a rule-based approach. However, with the help of cognitive technologies and machine learning in healthcare, RPA can process unstructured data and make informed decisions.

The future of healthcare could look very different when technologies like RPA come into play. Automating routine tasks could reduce task time and eliminate manual errors while improving the patient experience. As organizations progress from depending on manual tasks to applying RPA and cognitive computing, the workforce also shifts from being “doers” to “reviewers.” Health IT leaders and providers should focus on developing proactive, winning strategies to attain long-term financial sustainability and improved patient experience.

As RPA is emerging as the most affordable and flexible option, India is poised to appear as a front-runner in its establishment and benefit significantly from this opportunity.


About us:

TMA Solutions was established in 1997 to provide quality software outsourcing services to leading companies worldwide. We are one of the largest software outsourcing companies in Vietnam with 2,400 engineers. Our engineering team was selected from a large pool of Vietnam IT resources; they are well-trained and have successfully completed many large and complex projects. Visit us at: https://www.tmasolutions.com/

Sunday, July 7, 2019

Streamlining finance and accounting by using RPA

Processing and collecting data is daily routine of well-versed accounting and finance departments; yet repetitive manual work, large volumes of data can pose a challenge for enterprises.

All industries are widely embrace automation. An increase in the use of software robots in organisations means they are realizing benefits such as the optimization of logistics, particularly in managing inventory and finance functions.

From a recent report done by Ernst and Young, Robotic Process Automation (RPA) is estimated to reduce business costs 50 to 70 percent. Finance processes is rapidly transformed by automation. Credit limit request underwriting, optimising end-of-month accounting and streamlining accounts payable are just a few of the benefits RPA offers.

A new beginning for end-of-month accounting

Accounts departments often suffer from a crippling end-of-month run of transactions, with many manhours being swallowed up by increasing average transaction handling times. Because of some departments requiring multiple applications for different parts, lengthy rules-based processes can consume a great amount of time.

Businesses can use RPA to automate these lengthy processes and eliminate process errors and drastically reduce processing time, removing significant pressure from accounting teams. This will lead to an increase in energy and empowerment, allowing staff to focus on more strategic and engaging tasks. Businesses are quickly experiencing return on investment due to this increased productivity within their accounting departments, with employee engagement rising through a reduction in hours spent on repetitive tasks.

Automated accounts payable

One of the biggest productivity killers for accounts teams is arguably processing invoices. A solution featuring intelligent Optical Character Recognition (OCR) is offered by RPA, which creates a fully automated process. Data can be autonomously extracted from invoices via email and validate information by OCR, for example the cost per item or number of items, against the purchase order and goods received.

Streamlining accounts payable with automation allows businesses to shift the operational focus of accounts to processes of higher importance. Autonomously processing invoices allows more manpower to be dedicated to improving the customer and the supplier experience and leaves more time to work on other accounting tasks and new initiatives.

Automatically underwriting

Despite credit limit request underwriting being a key process for several organisations, it is also an expensive and highly repetitive process. Time and cost can be dramatically reduced by RPA because of collecting, assembling and presenting data automatically on a dashboard, ready for underwriters to assess.

On occasion, RPA can process the data for credit limit requests within just an hour of receipt. The time saved allows underwriters to focus on higher value customer interactions, resulting in increased customer satisfaction.

Transforming global finance delivery

Global finance delivery processes often include several sub-processes such as foot, cross-footing, checking for internal consistency, recalculating balance time sheets and PY tie outs. The completion of reports can require complex and time-consuming solutions but is largely repetitive.

Using an RPA solution that includes natural language processing (NLP), businesses can analyse textual contexts, extract tables in PDFs, and validate primary balance sheets and other financial data.

Only efficiency in RPA

Because of significant gains provided by RPA, including increased productivity, precision and speed, the speculation over robots ‘stealing jobs' is lessening as it is more widely implemented. However, it is not just immense cost savings that RPA provides. More importantly it relieves staff of monotonous activities involved with collating and exchanging data between systems. With RPA, staff can focus more on valuable, strategic and interesting work, which will inspire energy and empowerment in the workplace.

By introducing an RPA system that integrates intelligent OCR and NLP tools, the strains of end-of-month accounting, accounts payable, credit limit request underwriting and global finance delivery services can be significantly lessened. Businesses, staff, suppliers and customers are all able to reap the benefits of the RPA platform.

About us:

TMA Solutions was established in 1997 to provide quality software outsourcing services to leading companies worldwide. We are one of the largest software outsourcing companies in Vietnam with 2,400 engineers. Our engineering team was selected from a large pool of Vietnam IT resources; they are well-trained and have successfully completed many large and complex projects. Visit us at: https://www.tmasolutions.com/

Monday, July 1, 2019

Employees are ready to be empowered by RPA, finds survey

Employees are ready to be empowered by RPA, finds survey image



Research indicates that employees understand the benefits of robotic process automation (RPA) and are more willing to use it to help them deliver better service experiences

75% of employees believe RPA will improve their performance, reduce errors, grow sales and increase customer experience, according to a survey by a computer software company named A.

More than 2000 employees in the US and UK were surveyed for company A’s State of Automation in Customer Service survey. Significantly, managers and employees both believe in the benefits of automation, but for different reasons.

In the US, 34% of managers managing employees in customer-facing roles believe that RPA helps their company deliver better customer experiences. In the UK, 31% believe that RPA enhances overall sales or saves the company money. When it comes to employees executing back-office tasks, both respondents in the US and UK believe that RPA will be most beneficial for reducing errors and ensuring compliance (over 40%).

When looking specifically at respondents that perform back-office work, the desire for automation around data-related tasks is significant: 40% of U.S. back-office employees and 42% of UK back-office employees said RPA would be most beneficial for accurately processing data, tasks, forms and reports.

Employees also voiced frustration around being bogged down with repetitive tasks. Most employees said they spend over 50% of their working day on repetitive tasks, often a source of employee frustration and turnover that can ultimately result in poor customer service. A quarter of respondents said that over 75% of their working day is taken up by repetitive tasks.

“This survey is a distinct indicator of the shift in mindset within the customer service industry, marking an exciting time for enterprises to invest in intelligent, employee-centric solutions such as company A's RPA,” the President of company A's Product Group, said. “Employees and managers alike now more clearly understand the benefits of RPA and are ready to embrace it. Delivering exceptional customer experience is essential. Brands will only succeed if they provide employees with solutions that help them focus on customer service and alleviate them of repetitive tasks.”

About us:

TMA Solutions was established in 1997 to provide quality software outsourcing services to leading companies worldwide. We are one of the largest software outsourcing companies in Vietnam with 2,400 engineers. Our engineering team was selected from a large pool of Vietnam IT resources; they are well-trained and have successfully completed many large and complex projects. Visit us at: https://www.tmasolutions.com/

RPA, AI help speed review of Medicare claims

automated processes (Nikolay Klimenko/Shutterstock.com)


Employees and contractors at a medical center named A spend countless hours every year reviewing thousands of medical records to ensure the accuracy of its advantage payments. An automated intake tool is working to change that.

Using emerging technologies such as robotic process automation, optical character recognition, machine learning and artificial intelligence, the Intake Process Automation Tool of a company named B ingests records as they are submitted and identifies potential problems according to set parameters, submission rules and coding guidance. Specifically, RPA orchestrates the steps of the intake process, OCR digitizes the scanned document and then AI and machine learning are applied to understand the document and extract the information necessary to validate the information.

Intake Process Automation (PA) stands to save the medical center A time and money, said company B's lead director for intelligent automation for governments and the technical lead for the medical center A project. The tool processes a record in about a minute, whereas human reviewers average about 65 minutes per record. The agency received 40,000 records in 2018 and expects to get 50,000 this year.

To submit records, health care providers scan them in, resulting in varying formats and lengths. “It could go anywhere a few pages to over 1,000 pages,” company B's lead director said. “Because they’re scanned in, there’s sometimes handwriting in them.”

In the past, medical center A's staff reviewed all that unstructured data, making sure the scans of records were rotated properly and going page by page to check that they had the right date of service, provider and beneficiary.

Now, OCR handles the digitization, but to make sure that names, birthdates and other identifiers within one record match, company B created microservices that use natural language processing and machine learning to distinguish between a date of birth and a date of service. Once that data is in a structured format, it’s possible to do the validations automatically for each page, company B's lead director said.

“If you look at a medical record, you may have multiple names in there,” he said. “You may have the patient name, you may have the physician name, you may have a nurse name, you may have a street name. To a human, it’s pretty easy to differentiate between them, but if you have a machine looking at it, that’s where we’re using natural language processing and machine learning to understand the document like a person would.”

Much of the tool is new technology that center A did not have, the lead director said. His team saw the highly manual, repetitive process as a good use case for RPA, but RPA is not ideal for unstructured data or making decisions, he added. That’s where AI and the company B's AI platform come in. It has natural language processing and machine learning algorithms to help understand the unstructured data in the documents.

Besides time savings, company B's lead director sees two other benefits to the tool. The first is cost savings because center A doesn’t have to pay employees or contractors to handle the repetitive tasks and PA Intake can run 24/7. Still, the tool doesn’t completely remove humans from the review process. If the tool doesn’t have high confidence in the decision it made, the record will go to a person for verification.

“There are still some steps that cannot be automated or haven’t been automated yet or regulations don’t allow them to be automated,” company B's lead director said. “But the expectation is that they’re going to get done faster.” And that translates to faster feedback to providers and better job satisfaction because workers are looking only at complicated records, not checking all the information on every single one.

Another perk is increased accuracy. In fact, the tool returns 95 percent accuracy, and a test found cases in which the bot discovered something invalid that a human had overlooked. “If you’re looking at 1,000 pages, it’s easy as a human to miss some of these things,” the lead director said.

Since the PA Intake went live in April, it has processed more than 6,000 records. Currently, center A is using one tool, but it hopes to have multiple bots up and running to speed the process further. In the fall, company B expects to add more validations such as whether the forms have signatures.

About us:

TMA Solutions was established in 1997 to provide quality software outsourcing services to leading companies worldwide. We are one of the largest software outsourcing companies in Vietnam with 2,400 engineers. Our engineering team was selected from a large pool of Vietnam IT resources; they are well-trained and have successfully completed many large and complex projects. Visit us at: https://www.tmasolutions.com/

Wednesday, June 26, 2019

How Indian Enterprises Are Harnessing The Power Of RPA

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In India, organisations have been quick to realise the huge opportunity in RPA by automating repetitive transactional processes

RPA is today at a stage where the cloud was a decade back. The adoption of RPA is now fast gathering momentum with companies in the BFSI sector leading the charge. Research firm, Gartner predicts that by the end of 2022, 85 per cent of large and very large organisations will have deployed some form of RPA.

In India, organisations have been quick to realise the huge opportunity in RPA by automating repetitive transactional processes. Take the case of a bank, which uses RPA to do eyeballing credit applications. Similarly, another bank has used RPA for automation of payment processes where more than five lakh transactions are automated on a monthly basis. At a insurance company, RPA has been used to automate quote issuance, policy issuance and claims processing. This has resulted in an increase in operational productivity and an improvement in turnaround time for policy issuance.

With automation as the goal, RPA is now being used to solve some unique issues. For example, a telecom company uses RPA to set algorithms that identifies exceptional situations. For instance, in case of a power failure, the firm has created an algorithm which identifies the nearest technician using geo-locations and dispatches the work automatically.

This ensures that the site gets restored in the minimum time possible. At a IT service management company, RPA is being used to automate and complete the accounting process across the company's legal entities spanning across countries where the firm has a significant footprint. Automating intercompany transfer, invoicing and collections by deploying a bot to complete all accounting tasks, has helped its finance and accounting team in saving time and effort, and at the same time, record 100 per cent compliance.

At a pharmaceutical company, RPA is being used for the posting of bulk GST invoices. A bank uses RPA for its transaction dispute follow up process. Besides standardisation of the process and elimination of human dependencies and errors, RPA has been able to save close to 700 hours of efforts per day across processes. An online pharmaceutical firms uses RPA for onboarding of suppliers and interacting with their systems.

As user confidence in RPA systems has grown, firms have scaled up the deployment of RPA to multiple processes. A bank, which started from deploying RPA for 200 business processes in 2016, is now running 1350 business processes on RPA, which is currently being used in processes such as customer on-boarding, transaction processing, post transaction servicing, reconciliation, and loan processing. Similarly, a life insurance company which started out with 8 bots in 2016 is now using running 154 bots across 24 functions. From simple tasks, bots have now progressed to handle complex queries. In the case of the life insurance company, 40 per cent of the bots handle complex tasks.

In the future, one can expect more use cases of RPA combined with AI and analytics. As business confidence grows, we can see business processes being re-imagined and re-engineered to create a significant shift and improvement in customer experience and business outcomes.

About us:

TMA Solutions was established in 1997 to provide quality software outsourcing services to leading companies worldwide. We are one of the largest software outsourcing companies in Vietnam with 2,400 engineers. Our engineering team was selected from a large pool of Vietnam IT resources; they are well-trained and have successfully completed many large and complex projects. Visit us at: https://www.tmasolutions.com/

The rise and rise of robotic process automation

Image result for Robotic process automation




RPA software is now the fastest-growing segment of the global enterprise software market, reports Gartner

Robots do not require breaks, do not get tired, do not get distracted and work around the clock, thus a robot can significantly increase the amount of processed data, which can be good or bad, depending on the quality of that data.

Gartner says robotic process automation (RPA) software revenue grew 63.1% in 2018 to $846 million (€744 million), making it the fastest-growing segment of the global enterprise software market.

The analyst firm says it expects RPA software revenue to reach $1.3 billion (€1.14 billion) in 2019.

“The RPA market has grown since our last forecast, driven by digital business demands as organisations look for ‘straight-through’ processing,” says Fabrizio Biscotti, research vice president at Gartner. “Competition is intense, with nine of the top 10 vendors changing market share position in 2018.”

The top-five RPA vendors controlled 47% of the market in 2018. The vendors ranked sixth and seventh achieved triple-digit revenue growth. “This makes the top-five ranking appear largely unsettled,” says Biscotti.

North America continues to dominate the RPA software market, with a 51% share in 2018, but its share dropped by 2 percentage points year over year.

Western Europe held the number two position, with a 23% share. Japan came third, with adoption growth of 124% in 2018.

“This shows that RPA software is appealing to organisations across the world, due to its quicker deployment cycle times, compared with other options such as business process management platforms and business process outsourcing,” says Biscotti.

DX programmes boost RPA adoption

Although RPA software can be found in all industries, the biggest adopters are banks, insurance companies, telcos and utility companies. These organisations traditionally have many legacy systems and choose RPA solutions to ensure integration functionality.

“The ability to integrate legacy systems is the key driver for RPA projects. By using this technology, organisations can quickly accelerate their digital transformation initiatives, while unlocking the value associated with past technology investments,” says Biscotti.

Gartner expects the RPA software market to look very different three years from now. Large software companies are partnering with or acquiring RPA software providers, which means they are increasing the awareness and traction of RPA software in their sizable customer bases.

At the same time, new vendors are seizing the opportunity to adapt traditional RPA capabilities for digital business demands, such as event stream processing and real-time analytics.

“This is an exciting time for RPA vendors,” says Biscotti. “However, the current top players will face increasing competition, as new entrants will continue to enter a market whose fast evolution is blurring the lines distinguishing RPA from other automation technologies, such as optical character recognition and artificial intelligence.”

Best practices

RPA emulates human activity — keyboard and mouse input — in addition to purely programmatic operations, explains Gartner.

This allows RPA to automate systems and operations that have always required humans and, when done well, automate with greater efficiency, availability and accuracy, writes Gartner analyst Gregory Murray in a report on best practices for RPA success.

“Because robots don’t require breaks, don’t get tired, don’t get distracted and work around the clock, a robot can significantly increase the amount of processed data, which can be good or bad, depending on the quality of that data,” he writes.

“Where data quality is good, there is potential for RPA to maintain that level of data quality.

“By eliminating transposition or mechanical errors, RPA helps ensure that data input by the robot doesn’t introduce errors and preserves upstream data cleansing. RPA script developers create automation scripts either through a recorder or through a simplified, low-code development interface. The developers will define triggers for these scripts that will invoke the automations through a variety of system or datacentre events.”

Murray notes that a governance framework for selecting and validating RPA use cases, often managed by a centre of excellence, is a critical part of any enterprise RPA rollout.

“Establish a governing body to provide the guidance necessary to ensure that RPA is used only when it is the right tool and that RPA applications comply with all corporate and regulatory requirements,” he further advises.

About us:

TMA Solutions was established in 1997 to provide quality software outsourcing services to leading companies worldwide. We are one of the largest software outsourcing companies in Vietnam with 2,400 engineers. Our engineering team was selected from a large pool of Vietnam IT resources; they are well-trained and have successfully completed many large and complex projects. Visit us at: https://www.tmasolutions.com/

Tuesday, June 18, 2019

5 Scenarios in Healthcare Industry simplified by RPA

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The inducement of Robotic Process Automation (RPA) in the healthcare sector has given hope to manage and create feasible solutions for several concerns competing with the treatment of a patient by eating up the time of healthcare professionals. Some of the several use cases of RPA are:

1. Simplifying Patient Appointment Scheduling: 

Healthcare institutions need to collect data such as personal information, prognosis, and insurance details for the registration process and scheduling the appointments. These tasks are tedious as the patient appointments need to be aligned with the doctors. With RPA, the automation of patient data collection and optimization of patients appointment scheduling can be carried out with maximum efficiency. The coordination among the patients, management representative, and the doctor is in sync with RPA implementation.

2. Speeding up Account Settlements: 

RPA bots can calculate the bill accurately while considering expenses involved and can notify the patients their bill details. Whit the introduction of RPA, reduction of payment delays and inaccuracies in the billing can be cut-down and effortlessly speed up the healthcare cycle.

3. Streamlining Claims Management: 

The claims management involves insurance handling processes like data input, evaluation, processing, and dealing with appeals. The delays and outdated insurance claims can stunt the cash flow. With the addition of compliance with regulatory norms, the insurance can be rejected or fined as well. This process can be streamlined by implementing RPA to carry out error-free, fast processing of insurance claims and simultaneously recognized the compliance-related expections and avoid non-compliance of regulations, thereby simplifying the sophisticated methodologies of claims management.

4. Implementing Discharge Instructions: 

The bots powered by RPA carries out meticulously the discharge of patients complying to guidelines and delivering precise instructions regarding prescriptions, reports and pick-ups. It notifies the patients about the upcoming appointments and tests. The improvement of the Hospital Consumer Assessment of Healthcare Providers and Systems scores is noticed with the adoption of RPA.

5. Recording Audit Procedures: 

The Audit reports depict the quality of service and patient management. It is optimized by RPA which formulates the report, keeping in check all the sensitive information and amending to the guidelines. The non-compliance in healthcare workflows in reports cam be traced, and key performances can be noted. The loose screw in this process is that data utilized for the preparation of reports should be structured data. But, with augmentation of intelligent process automation (IPA) and machine learning, this setback can be fixed. 


About us:

TMA Solutions was established in 1997 to provide quality software outsourcing services to leading companies worldwide. We are one of the largest software outsourcing companies in Vietnam with 2,400 engineers. Our engineering team was selected from a large pool of Vietnam IT resources; they are well-trained and have successfully completed many large and complex projects. Visit us at: https://www.tmasolutions.com/

Monday, June 17, 2019

Competitiveness in government system created by RPA



To appreciate the importance of RPA, when integrated with an overall ecosystem, stakeholders should first grasp the basic functioning of RPA. This can be explained as follows:

The RPA system makes use of complex nonlinear processes but it should be remembered that automating processes which are too unpredictable, infrequent or overly variable can lead to an increase in cost and result in complexities. This can have an impact on the cost of associated robot algorithms and it can also have an effect an eventual deployment of systems. In many cases human intervention might still be required however a number of products does not provide semi-automated or assisted processes.

There are sometimes errors because some RPA’s is known to automatically execute those instructions which are located within business objects or scripts. It has been observed that errors can be repeated thousands of times before such problems are noticed. There is also the issue of hidden cost because it is known that some RPA solutions might require additional resources such as virtual machines or virtual desktop infrastructures. This will have an impact on the operating system or the virtualization cost which will apply to each separate bot. It has also been seen that expansion can often cost substantially more than was indicated by initial calculations.

Implementation in industries 

RPA can have an impact on several segments of the industry such as IT tasks, customer management, transportation and financial services such as accounting and insurance. As far as IT services are concerned RPA will assist with the auto-creation of backups, the sending of exception reports and it will monitor network devices. When it comes to customer management RPA is an excellent routing tool and it will help with the handling of vendor disputes and inquiries and it will automate vendor submissions. RPA will collect customer data from available systems. RPA can also effectively check systems for new delivery offers as well as new price offers and you can also send alerts to customers. In the transportation sector, RPA can update asset locations. It will also be able to update the external and internal transportation management systems. RPA will also track updates on all shipments and will ensure that auto scheduling of shipments is done. As far as financial services relating to accounting and insurance is concerned RPA will monitor compliance reports. It will also help to effectively streamline basic data entry. RPA will update business and customer information and it will also check all order entry data. RPA will be able to automate all auditing of expense accounts and it is able to reverse charges and it will also resubmit failed payment request. RPA can also successfully order replacements for stolen or lost cards.

Managing some common challenges 

Timing is very important when it comes to automation and both late and early automation can be harmful to your business. Planning is very important and it is critical to have an effective automation strategy. Many businesses have unrealistic expectations and even though RPA is very powerful it will not be able to cure a dysfunctional business. This is exactly why it is very important to analyze your business and to know exactly where it stands both operationally and financially. Management should have a clear picture of where it wants the business to go and exactly how or why RPA should be implemented to ensure that those objectives can be achieved within a reasonable timeframe. It should also be determined how RPA will impact the business and also how it will influence other available resources within that company. It is important to ensure that all employees understand the reasons for RPA implementation and why it is necessary to ensure better growth of that company. Employees should also understand how the business will benefit from RPA implementation.

Conclusion 

Just like all other forms of artificial intelligence RPA has proven to be highly effective across a variety of industries. The benefits which RPA is able to provide is outstanding and it is able to provide significantly better results than those which is obtainable by making use of only human resources. A properly implemented RPA system can help to eliminate needless human errors. It allows for a better-organized company because it ensures better workflows and more effective operation across all departments within that business. Just like other forms of artificial intelligence such as information technology, chatbots, and automated systems, RPA has repeatedly proven itself to be a critical tool when it comes to business expansion and increased profits. In the majority of cases, RPA stimulates businesses and often results in increased employment opportunities. There is no reason to fear that RPA will lead to a reduction of available job opportunities.

About us:

TMA Solutions was established in 1997 to provide quality software outsourcing services to leading companies worldwide. We are one of the largest software outsourcing companies in Vietnam with 2,400 engineers. Our engineering team was selected from a large pool of Vietnam IT resources; they are well-trained and have successfully completed many large and complex projects. Visit us at: https://www.tmasolutions.com/

Wednesday, June 12, 2019

The Four Stages of Robotic Process Automation

4Stages Robotic Automation

Process automation starts with simple tracking and reporting of the activity with a workflow management system, which gets the activity data out of the old paper routing slips and into a structured format for analysis and reporting. The next step applies rules to automate the most simple, repetitive tasks in a process.

After that step, the learning and experience that the team has with the RPA tools make it possible for more complex tasks to be automated, including tasks like taking data from one system and cross-posting it to another one. The final step involves reasoning, where artificial intelligence and deep learning are used to make qualitative decisions that humans used to make.

The stages in my four-step model for RPA implementation are:

1. Simple process tracking in databases – Basic workflow tracking and reporting in structured databases is something you need to embrace before you get started with RPA. Since an RPA tool will perform tasks like retrieving data from one source and inputting it into another application, it’s important that the transaction tracking data is stored in a structured format, like a relational database. If the data for tracking your shop floor activity is only recorded on paper job sheets which must be scanned or input, you’re making it too hard to use the tools.

2. Rules-based business process management (BPM) – Using automation and code (like macros) or pseudocode (like scripts) within BPM applications is the first real step in adopting RPA. Some tools will require format coding skills, use of APIs, and other programming tasks that will require that the business analyst working on a process create requirements that will be coded by a programmer. Newer generation tools allow both traditional coding of logic, as well as low code/no code interfaces like drag and drop flowcharting tools that facilitate non-programmers creating an automated business process. A process in this step of maturity might route a purchase requisition to a manager for approval if it is under $500, send it to a vice-president if it’s between $500 and $5,000, with larger purchases requiring the CFO’s consent, then route it along to the next actor in the process after it is approved.

3. Learning and Bot Creation – Using the success of the last phase automating the simplest tasks, in this step, more complex tasks are automated. Tools which scrape data from one screen and enter it into another are used to create “bots”, which are like software-based workers. For accounting, bots can do things like extract data from vendor invoices and record them in a spreadsheet or enter them into an accounting package. The automation software learns the task by having the software watching a human enter one or more invoices, and then repeating the task multiple times. Humans would then make corrections to the data processed by the routine and provide input to help it be more effective. Reasoning is the hardest thing for computers to do, and it is one of the most challenging as well. In the intermediate to long term, the types of tasks to be automated will be increasingly sophisticated.

4. Reasoning requires artificial intelligence and deep learning, where large amounts of data are analyzed for patterns, and is then used to refine the performance of the task. Although offline legacy applications (e.g. QuickBooks Desktop) do not have the hundreds of thousands of transactions required to optimize these algorithms, when similar applications are deployed in a cloud-based environment, the data is centralized and it is possible to use the data in the aggregate to use machine learning and deep learning.

The future for automation is bright, and while some leading-edge enterprises have reached the third and fourth steps above, almost all mid-market companies and all but the largest accounting firms have progressed no farther than the second step this model. Next month we will discuss how some of these tools are used to automate tasks in a process.


About us:

TMA Solutions was established in 1997 to provide quality software outsourcing services to leading companies worldwide. We are one of the largest software outsourcing companies in Vietnam with 2,400 engineers. Our engineering team was selected from a large pool of Vietnam IT resources; they are well-trained and have successfully completed many large and complex projects. Visit us at: https://www.tmasolutions.com/

Tuesday, June 4, 2019

Identifying Robotic Process Automation (RPA) opportunities

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Robotic process automation (RPA) can make a big difference for organizations plagued by repetitive mundane processes – the kind that suck up the productivity of people whose time would be better put toward more important work.

“There are a vast number of uses for RPA,” says the chief strategy officer of a computer software company.
“In banking, tasks such as opening accounts or processing mortgage applications can be automated, while insurance companies can automate health and injury claims and onboarding for new applicants or agents. In the transport sector, supply chain and logistics operations can be streamlined with RPA. The list of possibilities is nearly endless and beneficial to any business that deals with laborious or tedious manual processes.”

That sounds promising, but RPA experts also note that the technology’s vast potential doesn’t mean it’s a fit everywhere.

“Not all processes are suited for RPA, so it’s important to select the right tool for the job,” says the director of product of a computer software company.

How to identify RPA use cases

How can you best identify and evaluate processes where RPA can deliver tangible results? As a starting point, you need to fully understand the process you’re considering automating. If that sounds like table stakes, it is – and yet many organizations jump into RPA with significant blind spots in their existing processes.

“RPA automates a clear, defined process. Most people don’t have clearly defined processes, so they start automating, and either automate the wrong thing or get lost in trying to reverse-engineer the process,” says the COO of a computer software company. “For example, you try and do RPA for invoice approval, but you didn’t realize that there are actually about 30 different approval processes in the company – because of acquisitions, because this SVP doesn’t like the new process, etc.”

With that foundation in mind, we asked several RPA pros to share with us their advice on identifying and evaluating potential RPA fits in your organization, starting with a series of questions IT leaders can ask to kickstart a discovery process.

What can RPA do for you? Questions to ask

A CPO of a IT services company starts us off with a four-point question to begin generating a list of processes that might be good fits for RPA. (Before you consider this question, make sure you fully understand the process. As he noted in our recent piece on explaining RPA in plain terms, this also means that the process should have clearly defined inputs and outputs.)

The CPO recommends that you determine which of your workforce’s tasks are:

  • Repetitive
  • High-volume
  • Rule-based
  • Prone to human error

“If a task checks every single one of these boxes, it’s probably a great fit for RPA,” he says.

The director of product shares a set of seven questions for your discovery process. If you answer yes to these questions, you’ve probably got a good candidate for RPA:

1. Can the task be completed manually by a human sitting at a PC working with applications?
2. Does the business system lack an API or is the database behind the application inaccessible?
3. Does the core vendor charge extra for updating information in the business application?
4. Does a human worker perform the task more than once per week?
5. Does the task involve sensitive data? (In this case, Bultman notes that RPA bots may be better suited for working with sensitive information. Among other reasons, it can reduce the probability of that data being mishandled as a result of human error.)
6. Does the task need to be completed quickly with limited staffing resources?
7. Are there repetitive tasks that employees dislike?

Those last two questions also speak to the possibility for RPA to improve human job satisfaction. “Rather than calling team members in on the weekend, let the bots do the work,” he says.

Where can RPA help? Qualitative questions

Let’s keep asking questions – this time a bit more broadly. The chief strategy officer has you covered, with some qualitative ways of thinking about where RPA can help.

  • Which areas are underperforming?
  • Where are rigid applications or information silos creating bottlenecks?
  • Do you have processes that can’t be scaled unless you hire more people?
  • Are employees performing manual repetitive tasks? (You should be noticing a theme here: If it’s repetitive and manual, it’s probably a good fit for RPA.)
  • Do you have highly paid knowledge workers dedicated to time-consuming administrative tasks?
  • Are human data-entry errors creating frequent rework or exception handling?
  • Is your company considering outsourcing processes that you would prefer to keep in-house?

You can use these questions to construct a diagnostic checklist to evaluate the suitability of a process for RPA.

How to construct a diagnostic framework for RPA

Particularly once you’ve generated a list of candidate processes for RPA, you can translate these kinds of questions into a more evaluative rubric.

“A diagnostic can be used to systematically evaluate candidate processes across all functions and verticals to determine which ones are fit for RPA,” the chief strategy officer says. He recommends rating potential RPA fits on seven criteria in some way that makes quantifiable sense, such as low, medium, and high. (You could also use a numerical range such as 1-10.) He also suggests creating a heat map based on the results to help prioritize projects and create a roadmap, since you’re likely not going to tackle everything at once.

Here are the seven criteria:

  • Transaction volume
  • Prone to errors or rework
  • Process predictability
  • Rules-based exception handling
  • Manual work involved
  • System upgrade timing
  • Controls importance

Four functions where RPA can deliver business value

Sometimes it’s helpful to see and hear accessible examples of where RPA has worked well in other organizations.

In terms of business functions or departments, the COO notes that most any back-office function likely has processes that are good fits for RPA.

“It is great for automating back-office business tasks across industries, such as accounts payable, returns processing, and warehouse management, as it increases productivity and reduces errors,” he says. Other examples include:

  • Finance: Sales order processing, invoice processing, accounts payable
  • Management reporting: Gathering information from lots of sources and putting them into consolidated XLS
  • Marketing: list management, email, social, digital marketing, CRM management
  • IT and/or HR: Staff onboarding and off-boarding

In terms of vertical industries, he mentioned several – such as banking, insurance, and supply chain – with abundant processes that fit the framework and questions above.

Four categories of tasks that suit RPA

Finally, the director of product shares several broad process or task categories that are department- and industry-agnostic, meaning they can apply to just about any organization or business function.

1. Updating information: “For example, organizations often clean up addresses in their system in order to get a reduced postage rate when sending out mailers. They export the addresses, pass them through an address cleanup service, then use RPA go into each account and update the address,” the director says. “Could this project be done programmatically? Probably. But that would require IT or a programmer to get involved. With RPA, the employee tasked with updating this information can use RPA to create an automated task for this themselves.”

2. Migrating information: “Organizations often need to move information from one system to another. For example, if a bank merges with another financial institution, the bank systems need to be consolidated,” the director explains. “Using an RPA approach, the data can be exported from the old system and keyed into the new system at superhuman speed. This approach is advantageous in that it does not bypass the rules of the destination business system – that is to say, the data being put in is formatted and stored properly every time. Other code-heavy approaches bypass the screens of the application, which prevents the work from being captured in the system’s audit logs.”

3. Urgent tasks: Any process with a trigger that requires immediate attention can be a good fit for RPA, which can often run that process faster than a human can. “If a bank is notified of a data breach that compromised a list of debit or credit cards, that financial institution wants to close those cards as quickly as possible to mitigate their losses and protect customers from the hassle of having their funds stolen,” he says.

4. System monitoring: “RPA bots can be used to monitor critical business systems. If an online retail store goes down, it could cost a company millions of dollars,” the director says. “Organizations are using bots to simulate human interacts with their online apps to ensure things are running smoothly. If anything goes wrong, the bot can immediately report the problem in a variety of ways, including sending email, text message or Slack notifications, to name a few.”

Again, the possibilities for RPA may seem limitless, but asking the right questions and applying some type of evaluative or diagnostic framework can help you develop a sound strategy. Also, don’t confuse those seemingly limitless possibilities with “everything.” There are areas where RPA isn’t the best approach. Look for more coverage on that topic in a follow-up post.

About us:

TMA Solutions was established in 1997 to provide quality software outsourcing services to leading companies worldwide. We are one of the largest software outsourcing companies in Vietnam with 2,400 engineers. Our engineering team was selected from a large pool of Vietnam IT resources; they are well-trained and have successfully completed many large and complex projects. Visit us at: https://www.tmasolutions.com/

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