When it comes to business process automation efforts, our experts from around the web give several recommendations for how to get started. Some say that the projects are only successful if you initially approach them from the position of the desired outcome. Others recommend automating first, then figuring out the processes. Some claim that a full map and model of your processes are required prior to any automation. Experts also extol the virtue of having your business leaders on board, even as part of the team. Finally, they emphasize that you should improve all your processes (not just the automated ones) to maximize usefulness. In other words, garbage in, garbage out.
Automatically testing your web application is a good way to ensure that new versions of your application don't introduce bugs and regressions. Automation of your web application testing also allows your development team to make changes and refactor code with more confident, as they can quickly verify the functionality of the application after every change.

This article uses the term “tester” to refer to the person involved in testing software with automation tools. It is not meant to distinguish by job title or technical proficiency. Jim Hazen describes himself as a hybrid, or “technical tester,” because he can write test scripts and develop what he refers to as “testware.” The trend is to hire for multiple skillsets, but that does not mean the non-technical stakeholders involved in software development don’t benefit from automation testing.

The practice of performing robotic process automation results in the deployment of attended or unattended software agents to an organization's environment. These software agents, or robots, are deployed to perform pre-defined structured and repetitive sets of business tasks or processes. Artificial intelligence software robots are deployed to handle unstructured data sets and are deployed after performing and deploying robotic process automation. Robotic process automation is the leading gateway for the adoption of artificial intelligence in business environments.
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