As technology progresses, more firms are discovering the underlying links between robotic process automation (RPA) and digital transformation. To understand how RPA empowers digital transformation and take the first step toward implementing these insights in your own business, you’ll need a solid understanding of both ideas and their duties.
Digital Transformation & RPA
The digital revolution is affecting not only how we communicate and consume (and produce) information, but also how we do business. Thanks to digital technologies, businesses today have a multitude of new possibilities for functioning more successfully, efficiently, and affordably. Because of the convergence of three important trends: digital transformation, new business models, and robotic process automation, the way we work is changing (RPA).
Every industry has been affected by digital transformation to varying degrees. Financial services, healthcare, manufacturing, and retail are just a handful of sectors embracing digital transformation. It’s changing the way we do business and how professionals work with their clients.
RPA and digital transformation are mutually beneficial.
RPA can assist development teams and business users with shifting digital transformation needs and internal process improvements. From data security to low-code application development and deployment, RPA has the ability to impact practically every business and function. RPA also makes it easier for teams to collaborate, which is important when dealing with operational challenges.
RPA will continue to facilitate digital transformation
While it’s impossible to predict where technology will take us next, RPA is likely to continue to influence and impact digital and IoT transformation in the near future. As significant brands like LinkedIn, Dell, Gartner, and HPE take note, we’re likely to see RPA methods continue to expand in our transformation efforts. We at Silver Touch believe RPA will only increase in the future.
Top 5 RPA Tools for Digital Transformation Framework
RPA can assist development teams and business users in dealing with rapidly changing digital transformations and internal process changes. RPA might have an impact on almost every business and function, from data security to low-code app development and deployment. The Top 5 RPA Tools for Digital Transformation Framework are as follows:
Automation Anywhere
Automation Anywhere is a Robotic Process Automation platform that allows companies to automate their entire business processes. The three major components of Automation Anywhere are Bot Creator, Control Room, and Bot Runner. Using all three in tandem is the best strategy for deploying a successful automated workforce. Three types of robots can develop processes in Automation Anywhere: Task Bot, Meta Bot, and IQ Bot.
Related article, Why Billing Automation is essential part of Microsoft CSP Programme
IBM Robotic Process Automation
RPA (Robotic Process Automation) is an IBM technique that involves deploying intelligent robots in any process that requires efficiency, consistency, and speed while limiting the risk of errors. RPA, in a nutshell, imitates a human user’s activities.
UiPath
RPA technology from UiPath automates a variety of business activities. It’s currently the most popular and forward-thinking RPA option available. You can cooperate with others and automate time-consuming chores with this platform. Banking, healthcare, and finance are just a handful of the businesses that employ them.
Blue Prism
Blue Prism is a global leader in enterprise robotic process automation (RPA) and intelligent automation, which has revolutionized the workplace. By delivering high-scale Automation that is secure, smart, and available to everyone, this digital innovation enables future human and digital workforces to be centrally managed and frees humans to rethink work.
Rocketbot
Rocketbot is a powerful RPA solution for automating robot processes quickly and easily. Banking, insurance, e-commerce, and logistics are among the industries that it automates. You can utilize AI and machine learning to create strong and dependable robots that can be governed and controlled in real-time. Customer service robots are utilized to send notifications about dynamic forms in an efficient manner.