Intelligent Automation (AI) is an approach to business automation that combines advanced technologies such as Artificial Intelligence (AI) and Robotic Process Automation (RPA) to automate and improve business processes. This technology uses machine learning algorithms to learn from data and make autonomous decisions, continuously improving its ability to perform tasks. AI can help streamline business processes, reduce costs and improve the customer experience. In addition, AI can be used for complex tasks, such as natural language processing and computer vision, that are beyond the capabilities of traditional RPA.
What is meant by Intelligent Automation? We have already partly explained it: Intelligent Automation is the use of automation technologies, artificial intelligence (AI), business process management (BPM) and robotic process automation (RPA) to simplify and scale decision making within organizations.
In the business process organization, process management is a vital element for business growth.
According to KPMG, Intelligent Automation (IA) and Data & Analytics (D&A) are at the top of companies' strategic agenda.
Intelligent automation aims to streamline processes, free up resources and improve operational efficiency. It is not directed toward a single application but to a variety of fields and declinations.
In order to achieve the goal, different departments and human resources are involved in the process, which will have to work independently but in synergy, while meeting deadlines.
Intelligent Automation is perceived by business leaders as a key tool for facilitating business growth and represents, through the use of data, a great opportunity for the improvement of high-value business activities such as the customer experience.
Companies around the world are turning their attention to intelligent automation to empower the digital workforce.
In fact, post pandemic era, more and more people are working remotely, and intelligent automation has the potential to expand and investigate new ways in which companies operate.
Intelligent Automation is not to be confused with RPA. In fact, the former covers a broader scope of work than RPA: it augments and enhances traditional fixed rule-based automation by inserting the ability to express decisions to deliver results with maximum efficiency.
Intelligent automation consists of three useful technologies to create a solution that fuels business and technology transformation toward a digital future.
The integration of these three components creates a transformative solution that streamlines processes and simplifies workflows to improve the customer experience.
Intelligent automation platforms offer many advantages in all areas through the use of big data. Key benefits include:
With the understanding that the applications of AI extend to all industries, providing efficiencies in different areas of business, the following are the industries that make the most use of it.