The advent of Intelligent Automation has disrupted the world’s conventional methods of improving operational efficiency, especially in the past 3 years since the onset of the pandemic. This technology, also known as smart automation or cognitive automation, has played a crucial role in helping organizations continue to operate and serve their customers, even as lockdowns and other measures have disrupted traditional ways of working.
By effectively automating mundane business processes, organizations free up resources to focus on other, more pressing business needs to provide their services. This explains its rapid rise in popularity.
First things first, however – what does Intelligent Automation entail anyway?
For the uninitiated, Intelligent Automation refers to using technology, such as artificial intelligence and machine learning, to perform tasks that usually require human intervention. It can automate a wide range of processes, from simple tasks like data entry to complex processes like decision-making. Intelligent automation has the potential to improve efficiency and productivity significantly, as well as reduce the need for human labor in specific industries.
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Intelligence Automation is designed to improve efficiency and accuracy by automating repetitive, predictable tasks and making decisions based on data.
Listed below are a few of the several ways in which it can be implemented:
This automation involves using predefined rules to make decisions and perform tasks. For example, a rule-based system might automatically approve or reject loan applications based on credit score, income, and other factors.
This type of automation involves using algorithms that can learn from data and improve their performance over time. Machine learning-based systems can be used to automate tasks that require pattern recognition or even decision-making based on input data.
This automation involves using a knowledge base, a collection of information and rules, to make decisions and perform tasks. A knowledge-based system, when applied, might be used to diagnose and troubleshoot technical issues.
Intelligent Automation systems can be trained using a variety of methods, including supervised learning, where the system is provided with labeled examples and learns to make predictions based on them, and unsupervised learning, where the system is provided with a large amount of data and must find patterns and relationships within it. It also extensively involves using technology to automate tasks that humans usually do. There are several ways that this can be accomplished:
Companies globally have noted this efficiency, and reports from Deloitte state that over 85 percent of organizations are rethinking how work is done and have or will soon begin using intelligent automation.
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From automating mundane rule-based tasks to performing cognitive tasks such as perception, reasoning, and learning, intelligent automation solutions are essential for businesses to remain competitive in today’s fast-paced, technology-driven environment.
Overall, intelligent automation can help organizations improve their operations, reduce costs, and enhance the customer experience.
The number of benefits to organizations. include increased efficiency, accuracy, and speed. Some specific advantages of intelligent automation include the following:
On this note, studies conducted by Accenture indicate that even a standard automation solution, such as a successful RPA implementation, has the ability to generate a 40 to 80 percent reduction in processing costs and an 80 percent reduction in processing time.
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Robotic process automation (RPA) is a technology that allows organizations to automate repetitive, predictable tasks by using bots to mimic human actions, such as typing and clicking. RPA is typically used to automate tasks performed on a computer, such as data entry or document processing.
Intelligent automation, on the other hand, refers to the use of technology, including AI and ML, to automate tasks. This can include RPA, as well as other types of automation, such as cognitive automation, as mentioned above, which involves the use of AI and machine learning to automate tasks, and NLP.
To summarise, RPA is a specific type of automation involving software robots to automate tasks. In contrast, intelligent automation is a broader term for using technology, including RPA, to automate tasks.
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Here are a few examples of how intelligent automation is being used
These are just a few examples of how intelligent automation is being used. As technology continues to advance, it is likely that we will see even more use cases for intelligent automation in the future.
This is why intelligent automation can be found at the top of every organization’s strategic and tactical agendas. In fact, Gartner expects that by 2024, organizations will lower operational costs by 30% by combining hyper-automation technologies with redesigned operational processes. Overall, the future of intelligent automation is expected to be characterized by the increasing integration of AI and ML technologies into various aspects of modern life and the continued development of new and more advanced applications of these technologies.
There are a few key factors to consider when choosing the right intelligent automation platform for your business.
It may also be helpful to research and read reviews or case studies from other businesses that have used the platform you are considering. This can help you better understand the platform’s strengths and weaknesses and how it has worked for others in similar situations.
When you’re looking for the right Intelligent Automation platform for your business needs, consider using Autonom8.
The Intelligent Automation trial we offer allows our users to experience firsthand how the platform can effectively streamline business processes and increase efficiency by automating repetitive and time-consuming tasks and workflows. As a bonus, the intelligent Automation platform has been widely popular among its users owing to its ability to integrate with existing systems and its convenient, user-friendly interface.
Our users tell us that utilizing Autonom8’s Intelligent Automation platform is an exceedingly positive experience. Their testimonials state that many enterprises may benefit from integrating this technology into their operations to significantly improve efficiency and cost savings for organizations across various industries.
Intelligent automation (IA) refers to integrating robotics with multiple components from different emerging technologies.
A popular example of Intelligent Automation in action sees intelligent bots extracting data from customer service interactions, emails, or reports. This extracted information automatically updates CRM data, such as customer information, purchases, and relevant logistics data.
RPA is a specific type of automation that involves the use of software robots to automate tasks, while intelligent automation is a broader term that refers to the use of technology, including RPA, to automate tasks.
The future of intelligent automation will likely involve the continued development and deployment of AI and ML technologies in various industries and applications. These technologies are expected to play a key role in the digital transformation of businesses, governments, and other organisations, as they enable organisations to automate tasks, improve efficiency, and make more informed decisions.
The scope for intelligent automation is immensely vast, as these technologies can be applied to a wide range of industries and applications. Having seen use cases in the healthcare, finance, and customer support and service verticals, the scope for intelligent automation is limited only by the imagination.
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