Robot

In a series of blogposts I will be sharing some learnings with regards to enhancing live chat, introducing Conversational AI and scaling up with a Bot at a banking organization.

Part of being a software automation professional is having a view of the available tools and current trends in the industry, what are the new frameworks and how are the old war horses doing.

In this article, I am going to talk about how to run the attended bot without orchestrator and can still be triggered by system-level events that can give and take data to and from human workers.

Everything changes and evolves. As our jobs change and evolve, do our job titles? Is the job description of a software developer or a software tester the same it was at the beginning of the 2000s? If not, why is the job title the same? Is it still the same role or are there new roles emerging?

During my last conference, I shared my vision on SmartCity and mobility, taking the example of a duck, ordering a flying cab… in 2029

Take a look at the business scenarios when an organization should think of adopting the microservices design over monolithic applications.

In this article, I am going to talk about the challenges faced and the fixes applied during the automation of windows application for one of our clients in the healthcare domain.

A few days ago, I attended a webinar on AI. The speaker Jose Luis Calvo was talking about the current status of Artificial Intelligence.

Robot Framework – Highly adaptive and powerful test automation available fast and easy

Recently I have been set the challenge of trying to work out how to test robots and how to test (an) artificial intelligence. You’ll be pleased to know there are no spoilers in this as, well quite frankly, it remains a work in progress. Under duress, I would say my current thinking focuses on how predictable a robot should be, and how the concept of ‘expected results’ falls apart with artificial intelligence.

Last year, Sunil Kumar, Senior Consultant, and myself, from the HiTech Solutions team, DEMS-India, were invited to deliver a session on “Intelligent RPA using Machine Learning” at the Robotic Process Automation (RPA) Conference held in Mumbai.

Different estimates of the size of RPA, the software robot market, have been presented. According to some estimates, in 2019, the market for commercial RPA tools would be around $ 2.3 billion, up $ 4.3 billion by 2022 [1]. Other estimates predict that the market will be worth $ 8.75 billion in 2024 [2]. According to forecasts, the market is therefore growing and full of business opportunities, at least in the light of the figures, and it seems to believe investors.