Robotic Process

 Robotic Process Automation

Robotic Process Automation refers to the functioning of corporate processes due to the mimicking human tasks and automate them. In this particular sphere, it is important to bear in mind that AI is not meant to replace humans, but to support and complement their skills and talent. Companies like Pega systems, Automation Anywhere, Blue Prism, UiPath and WorkFusion focus on this process. 

What is robotic process automation?

Robotic process automation (RPA) is a software technology that makes it easy to build, deploy, and manage software robots that emulate humans actions interacting with digital systems and software. Just like people, software robots can do things like understand what’s on a screen, complete the right keystrokes, navigate systems, identify and extract data, and perform a wide range of defined actions. But software robots can do it faster and more consistently than people, without the need to get up and stretch or take a coffee break.

What are the business benefits of RPA?

Robotic process automation streamlines workflows, which makes organizations more profitable, flexible, and responsive. It also increases employee satisfaction, engagement, and productivity by removing mundane tasks from their workdays.

RPA is noninvasive and can be rapidly implemented to accelerate digital transformation. And it’s ideal for automating workflows that involve legacy systems that lack APIs, virtual desktop infrastructures (VDIs), or database access. 

Accelerated transformation

Among global executives, 63% say RPA is a major component in digital transformation.

Major cost savings

RPA drives rapid, significant improvement to business metrics across industries and around the world.

Greater resilience

RPA robots can ramp up quickly to match workload peaks and respond to big demand spikes.

Higher accuracy

57% say RPA reduces manual errors.

Improved compliance

92% agree RPA has ‘met or exceeded expectations’ for better compliance.

Is RPA the same as artificial intelligence (AI)?

RPA is not AI; AI is not RPA. But the combination of RPA and AI unlocks massive new possibilities for enterprises everywhere. For one thing, RPA technology now makes it possible to insert advanced AI skills in the form of machine learning models, natural language processing (NLP), character and image recognition, and more into RPA robots. Giving robots these AI skills dramatically expands their ability to handle cognitive processes that require things like:

• Understanding documents including semi-structured or unstructured data

• Visualizing screens (including virtual desktops)

• Comprehending speech and carrying on conversations and chats

AI is also making it possible to scientifically discover a complete range of automation opportunities and build a robust automation pipeline through RPA applications like process mining.

And at a time when companies need to accelerate their integration of AI into front-line activities and decisions, many are finding that RPA can serve as AI’s ‘last-mile’ delivery system. Robots can be configured to apply machine learning models to automated decision-making processes and analyses, bringing machine intelligence deep into day-to-day operations.

Boosted productivity

68% of global workers believe automation will make them more productive.

 

More value from personnel

60% of executives agree RPA enables people to focus on more strategic work.

Happier employees

57% of executives say RPA increases employee engagement.