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- Automation - Wikipedia
The discoveries inherent in automating processes can require unanticipated iterations to resolve, causing unanticipated costs and delays People anticipating employment income may be seriously disrupted by others deploying automation where no similar income is readily available
- AUTOMATING | English meaning - Cambridge Dictionary
AUTOMATING definition: 1 present participle of automate 2 to make a process in a factory or office operate by machines… Learn more
- What Is Automation? Definition, Types, Benefits, and Importance
Automation is defined as the process of using technology to perform tasks with minimal human intervention It is a technology-driven approach that aims to streamline processes, enhance efficiency, and reduce human error This article reveals the fundamentals of automation, detailing its types, benefits, and practical significance
- What Is Automation? | IBM
Automation is the application of technology, programs, robotics or processes to achieve outcomes with minimal human input
- AUTOMATION Definition Meaning - Merriam-Webster
The meaning of AUTOMATION is the technique of making an apparatus, a process, or a system operate automatically
- What is Automation? Definition, Types, Example Future
Automation in computers focuses on automating tasks like software testing, data processing, and system maintenance Software testing automation, for example, can significantly reduce the time needed for manual testing
- What is Automation? Definition, Types Use Cases Techopedia
Automation is the creation and use of technology to produce and deliver goods and services with minimal human intervention The implementation of automation technologies, techniques, and processes improves the efficiency, reliability, and or speed of many tasks that were previously performed by humans
- What is Automation? Glossary Definitions - Salesforce US
The process of optimizing or automating tedious, manual tasks within a larger workflow Workflow automation helps reduce bottlenecks and the potential for human error — leaving people to do what they do best: analyze data to make decisions and build customer relationships
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