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<p class="rh-standard-header-headline-medium pfe-jump-links-panel__section"><strong>Robotic process automation (RPA) is the use of software robots to perform repetitive tasks previously done by humans.</strong></p>
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<p>Most RPA tools run on individual workstations and are trained to perform rote tasks like moving rows of data from a database to a spreadsheet. While individual bots toil away at simple tasks, the gains can add up. RPA can play a major role in helping an organization run more efficiently as part of a broader <a href="https://www.redhat.com/en/topics/automation/what-is-business-process-automation">Business Process Management (BPM)</a> strategy.</p>
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<p id="how-does-rpa-relate-to-ai" class="rh-standard-header-headline-medium pfe-jump-links-panel__section"><strong>How does RPA relate to artificial intelligence (AI)?</strong></p>
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<p>An RPA software robot might feel akin to AI, and the field is changing rapidly to integrate more AI capabilities into RPA. But today, most RPA bots lack a quality associated with AI: the ability to learn and improve over time.-.-</p>
<p>RPA bots are trained to follow a series of repetitive, rules-based tasks, and generally do not learn as they go. If something about the automated task changes, a typical RPA bot won&rsquo;t be able to figure it out and will need to be retrained.</p>
<p>However, there are scenarios where AI and RPA complement each other. An example would be using a deep neural network for image recognition at a decision point in an RPA process. RPA vendors are increasingly offering solutions that attempt to converge the decision-making abilities of AI with the productivity improvements of RPA.</p>
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cod_tag	value
ai	5
rpa	5
wpg	5

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