Intelligent Automation - The future of Robotic Process Automation
What is RPA?
Robotic Process Automation (RPA) is considered as a revolution in the field of business automation. It is the use of software robots (bots) with Artificial Intelligence (AI) and Machine Learning to carry out some high-volume tasks, which were carried out by humans earlier. RPA is used to streamline business operations, to automate standard business practices, and to reduce costs.
Three broad categories of RPA are classified into three:
- Probots: Probots are bots that follow repeatable rules to process data.
- Knowbots: User-specified information is gathered and stored using Knowbots.
- Chatbots: Chat bots are virtual agents who can respond to customer queries through chat in real-time.
Artificial Intelligence (AI) and Machine Learning
Artificial Intelligence, also termed as machine intelligence, is a machine that thinks and works like a human. AI performs complex tasks like problem-solving, speech recognition, etc. Machine Learning is a method of data analysis that automates the analytical model; it is like teaching a computer how to make an accurate prediction when fed with any data. Advancement in machine learning (ML) and artificial intelligence has paved the way for Intelligent Automation (IA).
Intelligent Automation is a combination of Robotic Process Automation (RPA) and Artificial Intelligence (AI). Intelligent Automation allows us to track and automate processes and workflow, as it can learn and make decisions as it goes. IA is a powerful tool in the era of hyper-automation. It is typically an end-to-end process that involves business process automation and accelerates digital transformation. IA is made up of structured and unstructured data. It can automate non-routine tasks, whereas, in RPA, we automate a repetitive task. The main objectives of Intelligent Automation are to improve end-to-end customer experience and the productivity of employees, avoid human errors, to get rid of repetitive tasks, and to enable employees to focus on other tasks that add value for the company.
Intelligent Automation facilitates work performance across sectors. It allows machines to analyze data sets and helps in decision making. While the software robot has already done the initial thinking, it still needs a human-confirmation in specific decision-making scenarios.
Big businesses are already eyed on the opportunities inherent in intelligent Automation. Some of the big companies include Google, IBM. Google has purchased more than eight robotics start-ups; IBM is investing heavily in this computing technology.
Challenges of Intelligent Automation
Although some intelligent automation systems are costly, capable software is now becoming cheaper to allow small and medium enterprises to adapt to it. However, there would be a few initial challenges. These might include determining where to use Intelligent Automation and how to use it. Human “teaching” the intelligent automation system on what it needs to know to perform its task daily, training employees on tasks, assignments based on the new methods that are implemented, and how to handle risks like cyber security.
In an ever-evolving world of technical advancements, Intelligent Automation is the future of RPA. While it is noted that IA is excellent for streamlining high-volume tasks avoiding human errors, but it takes on a new dimension when combined with AI and ML.