What is the difference between Mainframe and Non-Mainframe Applications?
Mainframe applications:It’s a single screen and keyboard-based application.There are separate set in-built commands supported by Blue Prism especially for mainframe applicationsNon-mainframe applications:It includes multiple screensControl moves from one screen to another screen.
What is the difference between thin client and thick client?
Thin client: It is an application that we cannot get the quality properties while spying using any RPA tool.e.g. Any virtual environment.Thick client: It is an application that we get a pretty handful of attribute features using RPA tool e.g. calculator, Internet Explorer
Is Robotic Automation like screen scraping or macros?
No, managerial Robotic Automation is a generation from old technologies like screen scratching or macros. The major differences are: Robots are universal application orchestrators – any application that can be used by a man can be used by a present-day robot, whether mainframe, bespoke application, legacy, web service enabled or even a close 3rd party API hosted service. Robots assemble procedural knowledge which after some time joins with a shared library that can be re-used by some other robot or device.Applications are “read” by the robot, either through submitted APIs where they exist, through the OS before application appears, or through the screen with respect to the native application. In this last case the modern robot “reads” an application screen in context and in the same way a user does. As part of the robot training, it is shown how to read the application’s display much like a user is shown.
How can you say that Robotic Process Automation is a secure and reliable approach?
At several levels, the same is built in the RPA. The good thing is with all the vendors, run time factor is totally different to the process which is related to the editing of anything. It is not necessary that all the users are given the same actions but in fact, they can be restricted. This generally includes creating, designing, running, as well as editing the processes. Every log created is capable to provide full information with a wide scope. As compared to a manual process, RPA provides extra control, as well as security.
With RPA, is it always necessary that an organization that needs to adopt this approach have to change its entire infrastructure? Why or why not?
It is not always necessary to adopt RPA everything needs to be changed in an organization. In fact, it can easily be made compatible with the existing infrastructure. This is mainly due to the fact that the latest robotic software and tools in RPA doesn’t face any compatibility issues easily and can simply enable the organizations to keep up the pace.
What do you by mean by the term Information Collection in RPA?
In RPA, robots need raw data or information to perform their operations smoothly and reliably. They generally collect this information from different resources and it is also possible that the same can be provided to them manually.
What are the general requirements of RPA for front and back-office processing?
Well, the fact is RPA is well-known for its flexibility and it is capable to meet the robust IT standards without compromising the security. It is possible to use the robotic software for front and back office. Most of the requirements are the same for both and thus users need not worry. The same configuration can easily be deployed and the results that can be derived are always superior in every aspect.
How long does it take to establish the Operational Agility framework?
The average time to establish the initial Operational Agility framework is between 4 and 12 weeks from project initiation.
What is chat bot?
ChatBot – A bot programmed to chat with a user (human) like a human. Possibly recommend a pre-learned resolution to a particular problem that the user faces or to make a request and instruct backend systems to provide a request.
Can you list down a few RPA challengees you must have faced during your projects?
Shortage of skilled resourcesChallenge in automating end to end use casesLack of required support from BusinessLack of proper team structureVaguely defined Business continuity plansCulture shockIncorrectly identified use-cases for automationNot following best practicesNot enough support from the RPA platform vendorPost-Implementation Adoption