Business process automation
Automation of business processes From Wikipedia, the free encyclopedia
Business process automation (BPA), also known as business automation, refers to the technology-enabled automation of business processes.[1]
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Deployment
BPA tool sets vary in capability, but there is a trend towards the use of artificial intelligence technologies that can understand natural language and unstructured data sets, interact with human beings, and adapt to new types of problems without human-guided training.[2][self-published source]
Business process management implementation
A business process management system differs from BPA. However, it is possible to implement automation based on a BPM implementation. The methods to achieve this vary, from writing custom application code to using specialist BPA tools.[3][self-published source]
Robotic process automation
Robotic process automation (RPA) involves the deployment of attended or unattended software agents in an organization's environment. These software agents, or robots, are programmed to perform pre-defined structured and repetitive sets of business tasks or processes. Robotic process automation is designed to streamline workflows by delegating repetitive tasks to software agents, allowing human workers to focus on more complex and strategic activities.[4][self-published source]
BPA providers typically focus on different industry sectors, but the underlying approach is generally similar in that they aim to provide the shortest route to automation by interacting with the user interface rather than modifying the application code or database behind it.[5]
Use of artificial intelligence
Artificial intelligence software robots are used to handle unstructured data sets (like images, texts, audios) and are often deployed after implementing robotic process automation. They can, for instance, generate an automatic transcript from a video. The combination of automation and artificial intelligence (AI) enables autonomy for the robots, along with the capability to perform cognitive tasks.[6][self-published source] At this stage, the robot can learn and improve processes by analyzing and adapting them.[7]
See also
- AI alignment
- Artificial intelligence detection software
- Artificial intelligence and elections
- Business-driven development
- Business Process Model and Notation
- Business process reengineering
- Business Process Execution Language (BPEL)
- Business rules engine
- Comparison of business integration software
- Job scheduler
- Real-time enterprise
- Runbook
- Synthetic intelligence
- Weak AI
References
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