As companies continue to adopt and implement RPA into their organizations, proper testing methods and techniques become even more important to make the transition to RPA as successful as possible.

As we take stock of business technology at the start of a new year, it is clear that enterprises are all over the map when it comes to the automation trajectory.

How do companies ensure or at least improve their chances for a successful RPA implementation? The answer is in the seven following best practices.

The simplest way to begin is to find out more about RPA – how it can help a business and what its potential is.

Last week at the ISG Sourcing Industry Conference, we conducted a real-time study with swarm technology provider Unanimous AI.

In a world that is ever more LEAN and agile, continuously improving bots ensures optimization of resources.

Recent ISG research among robotic process automation (RPA) users in the DACH region reveals that companies aim to increase the number of processes they are automating by nearly 50 percent over the next two years.

When ISG hosted its annual Automation Summit in New York City, the predominant topic of discussion among the attendees was: How am I doing on my automation journey?

ISG joined SSON’s 4-day World Series Virtual Event to present the importance of annual RPA checkups to optimize your Center of Excellence.

One of the most common questions we hear from enterprises today: How does my RPA program compare to my peers?

Banks that embrace new digital technologies are beginning to reshape the banking industry.

Have the “innovator” and “early adopter” waves for robotic process automation (RPA) passed?

AI isn’t creeping its way into the enterprise. Robotic process automation (RPA) is crashing through the front door.

ISG Research conducted a survey of 549 European business leaders to assess their adoption of robotic process automation (RPA) technology and services.

While some people have been automating business processes for years, the emergence of robotic process automation (RPA) has ushered in a whole new era.

In 2014, when artificial intelligence (AI) first began to enter the commercial market, we knew the critical link was the human interaction with cognitive machines

A data-driven AML program that leverages RPA creates a foundation for successful risk-based approach toward determining AML risk that satisfies regulatory compliance concerns.

Picture this: you’ve installed robotic process automation (RPA) software, you’ve trained your people, the pipeline is full and now it’s time to start automating.

ISG Research conducted a survey of 549 European business leaders to assess their adoption of robotic process automation (RPA) technology and services.

Let’s say you are the proud owner of a super-efficient robotic process automation (RPA) bot built for a process using your web-based customer-relationship management (CRM) application.