Robot

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.

Many people are concerned about the negative consequences of technology. They fear software robots will take over administrative jobs from thousands of people, leading to waves of dismissals and unemployment. That need not be the outcome. Experts in automation know the 100-50-15 rule.

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