We’ve done it again! Here is another top ten artificial (AI) and robotic process automation (RPA) article wrapup. We’ve once again gathered some of the best articles we found over the past quarter (in no particular order) so they don’t get missed.
RPA is one of the fastest-growing technology trends. The predictions of where the market is going all show most industries adopting it within a few years. Gartner’s report is an excellent explanation of where the RPA market is going and why it’s crucial to start moving now.
AI + space = interesting articles. Astronomers and computer scientists at the University of Warwick used AI to discover 50 additional planets by looking through old NASA data. It’s a strong example of AI’s wide usage and how artificial intelligence results in greater precision. This article is another example of AI supporting space exploration, and it’s just good fun.
We’ve been remote working for most of the year, and it’s hard not to be going stir crazy. That’s translated into most people’s professional lives as well. Our team uses Skype as our primary form of communication, and while it’s convenient to message each other instantly, it’s less than ideal. The Enterprise project has written up a guide on how you can avoid the collaboration fatigue we’re all dealing with now.
We believe in the combination of RPA and AI, and so does Jeff Gallino, founder and CEO of CallMiner. We recommend you read his words for yourself.
“I’m here to tell you that RPA is a burgeoning application that’s leveraging AI, especially AI-driven analytics, to automate tasks. When combined, the two can be used as business and innovation accelerators that not only improve the employee experience but the customer experience as well, leading to improved customer loyalty, brand reputation, and overall bottom-line results.”
It’s become clear that digital transformation is a necessity for growth. The question is how best to accomplish your transformation and how to continue from there. It’s essential to take in as much information on this subject as possible to make the right decision. The Harvard Business Review’s article is a comprehensive report, so be sure not to miss it.
UiPath is at the forefront of Intelligent Automation (IA), and in this article, they give their firsthand experience on how they see value in the implementations they’ve facilitated. Intelligent Automation is the combination of RPA with a form of artificial intelligence or advanced analytics. It is increasingly one of the most potent digital automation tools available. However, like all technology implementations, it requires careful execution. UiPath’s article is an excellent guide for achieving your return on investment.
RPA is a technology trend that is going to see widespread adoption soon. Like Forbes says in this article, “analysts at Gartner have predicted that 85% of large organizations will have deployed some form of RPA by 2022.” Forbes uses this article to give a general report on what RPA is, where it’s going, and how to take advantage of it in your business.
How we adapt to Covid-19 is the question of the day. It’s so crucial to make your digital transformation correctly that many articles are written on it daily. We wanted to share this article from the Enterprisers Project because it’s a short and useful piece determining if a course correction is required.
We believe strongly in government adoption of RPA, and so does the General Services Administration. The government needs solutions that are not only efficient but also non-intrusive. RPA fits those requirements and then some. GCN has created a video on the GSA’s RPA adoption.
Machine learning is one of the most accessible forms of artificial intelligence available. Integrating machine learning models into your business processes can strengthen your enterprise and grow your effectiveness. Understanding what different machine learning platforms bring to the table is crucial in making a digital transformation. This article is a quick and practical guide on some of the most common terms often encountered when considering machine learning models.
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