Top 10 - AutomationEdge€¦ · Faster and Eﬃcient Data Management Deep learning is facing the challenge of data collection and diﬃcul-ty in computations, due to which innovation

Top 10RPA TechnologyT r e n d s i n 2 0 1 9

TABLE OF CONTENTS

I n t r o d u c t i o n

C o n c l u s i o n

Trend 01. RPA Enhancing Business Strategies...............

Trend 02. The Internet of Things Working to Its Full Potential..............

Trend 03. Faster and Efficient Data Management............

Trend 04. RPA and Smart Process Automation...............

Trend 05. Improvement of Privacy and Security.................

Trend 06. Growth of Neuro-Linguistic Programming (NLP)................

Trend 07. Creation of Intelligent Apps.................

Trend 08. RPA to Offer Significant Benefits to Organizations...............

Trend 09. Creation of a Digital Workforce with RPA............

Trend 10. Self-learning Artificial Intelligence.............

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INTRODUCTION

Similar to a human operator, the tool or robot can

be enabled to interpret and capture the actions of

an existing application used in a business process.

Once the RPA tool has been configured with

well-defined rules, they can perform the functions

exactly as a human operator, without the errors

involved, and with enhanced productivity. The

most important feature is that the actions taken

by these tools can be logged and audited, which

means humans can survey and monitor the

actions of these tools.

Approximately 10% to 20% of human work hours

are spent on repetitive tasks, making a huge

chunk of time being wasted on processes that can

be automated. RPA is most suited for such tedious,

repeatable tasks that are associated with high

volume transactions. They can be implemented in

a broad range of business processes including

finance and accounting, HR, logistics, supply

chain, and customer experience management.

The interest in robotics and artificial intelligence

and its application in various industries has been

intensifying over the years. RPA is already deliver-

ing value to organizations and achieving signifi-

cant benefits. Artificial intelligence and Machine

learning are creating virtual helpers that will

transform industries with automatization.

As technology improves constantly, some unex-

pected trends arise. Although the list of RPA

trends is long, we will focus on the top ten tech-

nology trends

Robotic process automation (RPA) can be defined as the technology that automates routine business practices with software robots or applications, that are configured to perform the tasks automatical-ly, leaving humans free for other high-skilled activities.


Robotic Process AutomationBenefits

ConsistencyRoutine tasks are performed

the same way each and every time

Improve Employee MoralWorkers can dedicate more time toengaging interesting work

ProductivityProcess cycles time are much fastercompared to manual process approaches

ComplianceBots follows regulatory compliance rules to a

tee & provide an audit trail history

ReliabilityBots tirelessly work24X7 without interruption

AccuracyExtreme accuracy & unifomitymuch less prone to error or typos

Non-Inavasive TechnologyNo distruption to underlying legacy systems,

reducing the burden on IT

Low Technical BarrierNo programming skills necessary

to configure a bot


TREND

1RPA EnhancingBusiness Strategies

The power of RPA’s advanced technologies and software is reshap-ing and enhancing business strategies. Large companies are more likely to implement an Artificial Intelligence (AI) Industries like healthcare, construction, manufacturing, finance, and banking are expected to implement RPA.

The best algorithms created, will be bought, shared, an deployed by organizations. In the field of medicine - virtual assistance is going to help patients, do genetic research, and computational drug discov-ery. Other applications will include automation, data management, robotization, and a lot more.


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Intelligent things are devices that interact smartly with the environ-ment and people, and they have been in the periphery for many years now. With more enhancement. they are going to affect another worldwide trend – Internet of things (IoT).

As this tendency increases, a number of intelligent devices are going to work together and develop IoT to its complete potential. Com-bined with each other through wireless or wired communication channels, and by connecting through the global web, they are going to be one big integrated system improving human-machine interac-tion. The fusion of the Internet of things and artificial intelligence is going to enable technologies to create smart homes and smart cities.

TREND

2The Internet of ThingsWorking to Its Full Potential


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Faster and EfficientData Management

Deep learning is facing the challenge of data collection and difficul-ty in computations, due to which innovation is now aimed at speed-ing up deep learning experiments. All big firms are realizing the im-portance of data collection and its influence on productivity. In the coming future, deep learning is going to shorten software solutions development time. This will further lead to reduced costs and increased productivity.

Large firms have understood the importance of data collection and in the future, will start using even more data, in terms of customer data through CRM, ticket systems, and Omni-channel platforms.

TREND

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RPA and Smart ProcessAutomation

With the positive return on investment due to the integration of RPA along with the present digital transformation platforms, RPA is going to shift focus towards Smart Process Automation. It is estimated that about 70% to 80% of rules-based processes can be automated. This will lead to smarter business processes and decision making, and in creating more detailed data insights for further automation.

Bringing together these technologies is going to increase human potential, and organizations will be able to take important steps in their automation journey towards business-oriented processes.

TREND

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It executes techniques like:

Development of technologies has also brought in progressive hacking techniques. More and more devices are being connected to the internet, which not only creates more data but also makes them vulnerable to hackers. The solution to this problem is Ma-chine Learning, as it provides a more predictive approach to ensuring security.

Behavioral Analysis Blockchain Technology CARTA (Continuous adaptive riskand trust assessment)The ability to detect and stop an

attack which can pass through static protective systems

Which brought into focus a technology called Zero Knowledge Proof that secures users’ privacy through mathematics and makes transactions safer

It involves a continuous evaluation of risks, including all business participants: from devel-opers to the heads of the company

TREND

5


Improvement of Privacyand Security

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Growth of Neuro-LinguisticProgramming (NLP)

The expected trend in future is users wanting to communi-cate with their software by giving commands and asking questions in their natural language, and not worrying about the ‘right’ way to ask. Therefore, the development of NLP and its integration into software is one of the most promising technologies.

NLP will help people to ask more complicated questions andreceive suitable answers, and therefore get better insights.

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Creation of IntelligentApps

Every application and service is going to incorporate artificialintelligence at some level over the next few years. Softwareand service providers need to address how they are going touse AI to add business value in the form of intelligent pro-cesses, advanced analytics, and user experiences.

Intelligent apps augment human activity in the areas of insight sharing and discovery, for a broad range of business users. They can transform the way humans work, as seen through enterprise advisors and virtual customer assistance.

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RPA is being adopted and implemented in various industries because of the many benefits they provide.

Some of the benefits are:

Cost Savings

Accurate, Quality Work

Improved Cycle TimeA robot can perform tasks at a much lower time than humans. And, mult-iplied by a number of tasks and a number of employees, the savings canreally add up

Insights and Analytics Business leaders can make better decisions by learning from the past,as the information can be used to improve current practices, correctissues, and develop an accurate forecast

One of the main benefits of RPA is the immediate reduction in expendi-ture. Since the work is automated, not only can it be completed faster, but can be done round-the-clock at a significantly lower price. Researchers estimate that the potential savings by companies will be between $5 trillion to $7 trillion by 2025

Humans are capable of making mistakes, and for organizations, those errors can be multiplied to the number of people performing those tasks. This could prove to be very costly. With RPA, the work is error-free and of better quality, which leads to more profitability

TREND

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RPA to Offer Significant Benefitsto Organizations

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CustomerFlexibility Response TimeAccuracy Experience

StaffLeadership EngagementValue Loyalty

50% Improvement in theCustomer SatisfactionIndex 80%

Reduction in AHT(average handling time)

up to

up to

90% Reduction in ART(average response time)

$$ ROIWithin 3 months (average)

No impact on thesecurity RPA can onlydo what the agent does

Higher cross-sellingand up-selling by integrationof existing BI Tools

CompanyProfitability ConsistencyGrowth Agility

Building a UnifiedView of the Customer

Same headcount fortriple the activity


RPA to Offer Significant Benefitsto Organizations

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Creation of a DigitalWorkforce with RPA

Logistics operations

RPA replaces labor-intensive tasks inmultiple system including

Robotic Process Automation enables organizations to create a digital workforce that works along with employees to drive greater productivity. RPA elimi-nates manual data-driven activities, where robots automate tasks through powerful, dynamic process flows.

Logistics Operations

Finance & Accounting

Supply Chain Management

Healthcare & Patient Administration

Sales Operations

Regulatory Compliance Monitoring & Reporting

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Self-learning ArtificialIntelligence

AI breakthrough is expected to solve many human routines: developing business strategies, decision making, recogniz-ing speeches and objects, and improving customer experi-ence. And, it has the ability to teach itself, without human input and data. The development of self-taught AI is going to continue.

AI can deal with tasks better, faster, and cheaper than humans. And, the possibility of algorithms for self-learning, brings it closer to being part of many facets of human life.

Robotic Process AutomationMaturity Curve

PERSONALASSISTANTBOTS

PERSONALMULTIPLICATONBOTS

INNOVATIONENABLEMENT

ORGANIZATIONAL

SCALING

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To conclude, the RPA market is expect-ed to grow 70% to 90% through 2019-20, i.e. it will be worth about $3.1 billion by 2019 and $4.9 billion by 2020.

Since RPA projects save cost, revamps in-vestment in six to nine months, and don’t re-quire the IT architecture to change signifi-cantly, 63% of workplaces have the potential for automation.

We are going to witness a faster and more accurate AI and Machine Learning. The improvements in technology are going to lead to exciting developments, such as the Internet of Things, NLP, and self-learning AI having the ability to change not only organizations but also our everyday life. On the one hand, there might be a threat to security, but on the other, new solutions will pave the way for greater techno-logical development.

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Top 10 - AutomationEdge€¦ · Faster and Eﬃcient Data Management Deep learning is facing the challenge of data collection and diﬃcul-ty in computations, due to which innovation