Intelligent automation (IA), or intelligent process automation, is a software term that refers to a combination of artificial intelligence (AI) and robotic process automation (RPA). [1] Companies use intelligent automation to cut costs and streamline tasks by using artificial-intelligence-powered robotic software to mitigate repetitive tasks. [1] As it accumulates data, the system learns in an effort to improve its efficiency. [2] Intelligent automation applications consist of but are not limited to, pattern analysis, data assembly, and classification. [2] The term is similar to hyperautomation, a concept identified by research group Gartner as being one of the top technology trends of 2020. [3]
Intelligent automation applies the assembly line concept of breaking tasks into repetitive steps to improve business processes. [4] Rather than having humans do each step, intelligent automation can replace steps with an intelligent software robot or bot, improving efficiency. [5]
The technology is used to process unstructured content. Common real-world applications include self-driving cars, self-checkouts at grocery stores, smart home assistants, and appliances. [6] Businesses can apply data and machine learning to build predictive analytics that react to consumer behavior changes, or to implement RPA to improve manufacturing floor operations. [6]
For example, the technology has also been used to automate the workflow behind distributing Covid-19 vaccines. Data provided by hospital systems’ electronic health records can be processed to identify and educate patients, and schedule vaccinations. [7]
Intelligent Automation can provide real-time insights on profitability and efficiency. However in an April 2022 survey by Alchemmy, despite three quarters of businesses acknowledging the importance of Artificial Intelligence to their future development, just a quarter of business leaders (25%) considered Intelligent Automation a “game changer” in understanding current performance. 42% of CTOs see “shortage of talent” as the main obstacle to implementing Intelligent Automation in their business, while 36% of CEOs see ‘upskilling and professional development of existing workforce’ as the most significant adoption barrier. [8] [9]
IA is becoming increasingly accessible for firms of all sizes. With this in mind, it is expected to continue to grow rapidly in all industries. [10] This technology has the potential to change the workforce. As it advances, it will be able to perform increasingly complex and difficult tasks. [11] In addition, this may expose certain workforce issues as well as change how tasks are allocated. [12]
Streamline Processes
Customer Service Improvement
Flexibility
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