Robotic Process Automation (RPA) has been at the forefront of this wave of automation advantages. RPA is transforming its focus from just only automating assisting or eliminating routine work to seeding automated worker bots into processes and systems. Due to AI, the level of intelligence of these bots or agents is improving.
It implies that the technological developments in every sector contribute to the compounding developments in the future.
In other words, present advanced technology makes it simpler to harness improved technologies in the future. Great algorithms, enormous hardware, and extraordinary programs all make it simpler to discover future technologies, effectively fastening technological advancements with every discovery.
A prominent example of this is intelligent automation. Intelligent automation merges two great technologies, artificial intelligence (AI) and robotic process automation (RPA), to develop significant growth potential and cost savings for businesses. Besides, some of the world’s biggest companies are massively investing in AI tech, with estimates up to $12.4 billion annually.
Either utilized independently or combined, AI and RPA technologies can powerfully enhance business operations in various sectors ranging from pharmaceuticals and healthcare to consumer goods and energy.
How AI Enhances RPA Services and What is the Advent of RPA
The combination of AI and RPA allows modern enterprises to use the benefits of these great technologies in achieving matchless tasks with standard efficiency. It is something greater than the series of a customized RPA solution because it is created to execute the similar and repetitive type of work.
Once AI is integrated into Robotic Process Automation solutions, it brings the ability to collect and share beneficial information with various systems and makes the right decisions. Customized RPA solutions can use information obtained by AI and smoothly executes the complex task.
Combining AI with cognitive technologies, and ML (Machine Learning), strengthens robotic process automation by introducing a human response in the process.
The merging of RPA and ML is known as either IPA or CRPA (Cognitive Robotic Process Automation). The AI-based feature gathers and assembles complex data from sources such as text, natural language, etc. and analyzes the same to convert it into standard data.
This combination can also do advanced tasks through refined software mechanisms and algorithms.
To an extent, RPA goes beyond the task automation and achieving of repetitive processes by using the abilities of AI. It can create access to new opportunities and possibilities while enhancing productivity.
The Potential of Artificial Intelligence
As customers are eager to move on to the next step on their automation journey, several of them have also examined another technology that has lately gone through its rebirth: artificial intelligence (AI).
The revival of AI has introduced customers to new automation possibilities. With AI, customers could see the ability for their Robots to achieve beautiful things such as:
- To acknowledge images on a screen with human-like accuracy.
- Extract vital information from thousands of invoices and input it into an accounts payable (AP) system.
- They are providing solutions to customer service requests by understanding natural language from voice and text inputs without delay.
Customers started to see exceptional abilities for what AI could accomplish for their business.
In actuality, it was just that ability. There are specific challenges in trying to apply AI to solve real-world problems. Besides, regardless of other exciting things surrounding the technology, Gartner even estimates that only 4% of Chief Information Officers (CIO’s) have successfully implemented AI.
Then the question is, why haven’t RPA and AI, two technologies which have such high expectations, fully merge to deliver on the shared promise of introducing a new age of more intelligent automation?
Well, it was discovered that three barriers are preventing RPA and AI from working together without any interruption, and they include: operations, technology, and process.
Operations: In operations, the Robotic Operations Center (ROC) and data science teams often exist self-standing as silos with various skill sets, focus, and business priorities.
Technology: Well, from a technology perspective, RPA developers utilize an RPA platform to develop, deploy, and manage automation. Meanwhile, data scientists use conscientious AI/machine learning (ML) modeling tools. These tools, pipelines, and technologies are disconnected.
Process: RPA and AI are managed as separate processes. When trying to include AI models, the ROC isn’t aware that the model is producing the accurate output or if the model has been updated. The data science team isn’t aware of the models are being used accurately and how beneficial the models are.
This causes a fundamental disconnect that endangers the potentially symbiotic RPA and AI relationship.
To recapitulate, RPA and AI exist in different silos. To genuinely attain their full automation potential, we have to break down these barriers, combining the coherent implementation of RPA with the boundless cognitive power of AI.
Importantly, subtractions can be made by combining integrated information sources and pools of knowledge using advanced algorithms for more intellectual actions, and in a way that considers several contexts.
Just as AI can learn to think, learn, and project by using predictive analytics, RPA should have the ability to divert exceptions and correspond with these patterns or events to expected or unexpected, opportunities, and threats. This puts organizations in a position to think effectively and respond to forthcoming behaviors and markets.”
Presently, it is therefore unexpected that businesses have increased on the RPA bandwagon, and its market size is set to surpass USD5 billion by 2024. As AI makes its unavoidable way into RPA, expect this number to shoot up further.
The convergence of AI with RPA has a massive hidden ability for futuristic business. As an advanced solution, it can execute even complex and significant business actions just like human beings.
Nevertheless, there is no reason to believe that this combination will replace humans as they remain the administrator of RPA and AI combination by developing the rules and handling the operation. RPA and AI combination aim to bring a digital transformation in the companies and add extraordinary value overtime.