Artificial Intelligence, the potentially global-changing technology, is nothing but the simulation of human intelligence by machines, i.e., computer systems. AI applications includes natural language processing, speech recognition, expert systems and so on.
This artificial Intelligence is broadly classified into four types:
Process Automation is the use of technology to automate the daily repeated tasks of any business. This can streamline any business with simplicity and improve service delivery.
The main three functions of process automation are as follows:
The application of Artificial Intelligence & any new technologies to process automation is known as Intelligent Process Automation. This Intelligent Process Automation offers automation capabilities that elevate business values with greater advantages to customers.
Many organizations have begun to understand the increasing business efficiency & employee productivity being the supreme importance for thriving highly competitive digital environment.
Automation using software is most important for companies to stay competitive and attain their operational excellence by achieving Service Level Agreements (SLAs).
The information processing mechanism is created considering RPA and more reachable option than ever before.
To make any project successful, it is imperative to identify & understand the mechanisms behind the realization of Robotic Process Automation (RPA) in the presence of an Artificial Intelligence (AI) driven strategy.
In any RPA system where AI is utilized as the centerstage which requires fundamental understanding of both technologies co-exist in collaborative manner. Design Constructs of both needs to be cleared before implementation phase.
Collection of holistic, historical data of any model training is inevitable.
The other aspects such as actors, sub-system boundaries, domain knowledge, regulations, trigger points and more are all going to be crucial.
Like any purpose the built & light weight automation, a complete process that understands process design, environment, variable factors, MOP and more is mandatory in implementation of RPA.
The system architecture knowledge & insights into details involves functionalities, sub systems interfaces, process and interconnect logics and more which are pivotal & serve as a blueprint of your design strategy.
For ROI & Cost efficiency, one would need to have clarity about solutions existing commercially or open source.
Leveraging the available solutions & technology provides extra cushion which minimizes the risks & achieve your target quicker.
For Example – HealthCare System
Since Healthcare sector is actively using artificial intelligence to improve patient care & let us look at how RPA can benefit healthcare system.
An RPA can result in improved care management with population wellness, remote monitoring, improvements in quality of coordinating care, and utilization management.
Many manual activities such as billing, or coding can be automated using robots.
Also, AI assisted image recognition is adopted for finding malignant traces and it is highly cost saving.
This AI incorporated RPA systems in healthcare can maximize the operational efficiency with high cost saving.
This convergence of RPA, robotic process automation & AI plays significant role. Basic understanding about AI is must to build a better strategy and design with great functional accuracy.
The most needed elements in the digital transformation, the robotic process automation plays a big part. Thus, when we utilize software robots with AI, in any business the efficiency can be achieved with high operational excellence and high ROI.
Hope you have got the basic information about the AI & Process Automation.
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