August Digest: Robotic Process Automation
Automation in general and Robotic Process Automation, in particular, is one of the fastest-growing software segments and one of the most-discussed topics online, so it can be hard to keep track of all the news and publications talking about it. To simplify this task for you, we’ve decided to collect some of the most interesting pieces published this August (whether from WorkFusion or other sources) in what we’ll call the Digest.
Customer Spotlight of R-Path Automation
Online data collection is one of the most common tasks in a knowledge worker’s day, and requires considerable time. This customer spotlight tells how R-Path Automation uses the RPA capabilities of the Intelligent Automation Cloud to automate data collection and give 10,000 work hours back to their client, allowing research analysts to dedicate their time to creating business insights instead.
Polaris Transport talk about scalable Digital Transformation of its core logistics processes
In January 2019, Polaris Transportation Group, an innovator in the supply chain sector, launched NorthStar Digital Solutions (NDS), an in-house digital laboratory aimed at driving the advancement of its technology using Robotic Process Automation (RPA), Intelligent Document Processing (IDP), Machine Learning (ML) and other advanced capabilities. In this post, Polaris CTO Dave Brajkovich discusses how the company is driving logistics innovation through this new unit.
Is Robotic Process Automation the digital panacea or a temporary fix?
According to Gartner, the Robotic Process Automation sector grew more than 63% in 2018, making it the fastest-growing segment of the global enterprise software market. Yet people in both the RPA industry and sectors close to it have mixed opinions on the benefits of RPA and its future. This article presents several points of view of professionals from sectors close to RPA about the technology’s benefits, concerns and prospects.
Differences between Robotic Process Automation and Artificial Intelligence
The phrase “Artificial Intelligence” is used (and misused) in the definitions of many terms and technologies, which often leads to confusion and misunderstanding. Deciphering what it means in a given context can be hard, especially when you compare or combine it with “Robotic Process Automation,” or “RPA.” This article, written for a general audience, discusses some differences between RPA and AI.
What are the 3 considerations for identifying RPA projects in banking?
Banks are actively moving on RPA adoption, due to their many legacy systems that need to be integrated seamlessly. Plus people are heavily involved in many traditional banking tasks, and ever-toughening regulations in the banking industry add to the number of processes that must be performed, so more banks are turning to robotic process automation for a solution. This article explores processes that decision-makers in the banking industry should consider for automation.
Automation ideas for SAP processes
We’ll close with a WorkFusion-authored piece that has been very popular with our readers:
SAP is one of the most popular enterprise digital ecosystems in the world, with around 425,000 customers in 180 countries. The variety, complexity and rule-based nature of many SAP processes make them a good fit for robotic process automation. This post explains primary approaches to SAP automation and suggests some processes that can be automated with RPA.
If this RPA digest was helpful and you’d like to learn more about RPA, AI and other areas of Intelligent Automation — or if you would like to see a demo of the Intelligent Automation Cloud — feel free to contact us anytime.