Mahipal Nehra

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Future of Artificial Intelligence

Future of Artificial Intelligence

Artificial intelligence is among the top technologies of the 21st century’s prominent technology stack. Artificial intelligence and its subsets deep learning and machine learning have brought a wide range of use cases into the light. Gartner a global research firm has claimed in its reports that Artificial Intelligence, Automation and robotics will take down 1.8 million jobs and create 2.3 million new ones. The perception that we have is that Artificial Intelligence can take away any job but that’s not the case, AI will eliminate the manual laboured jobs from all the industries. The elimination of jobs due to Artificial Intelligence is already happening in the IT industry for Testing, Data Centre Management and much more. So, let’s get started to shed some light upon those scenarios.

Read Full Article Here: Future of Artificial Intelligence: The Fourth Industrial Revolution

Software Industry

In the software industry, Informatica is being for Data Centre Management. Ui Path, selenium and more for automating test cases, chatbots for real-time response to clients are all based on AI and automation. If a large-scale project required 100 testers then the requirement can be reduced to 5 to 10 testers who will have to initially write the test cases and the system will automate the testing procedure. The automated testing increases the efficiency in catching bugs but as of now, it is only being used in large scale projects because writing test cases take time and for a small project manually the testing can be completed in less time than the automated process.


Zook, Uber and Waymo have been aggressively working to train and develop AI models with which the cab industry can be switched to fully automated rides. The automated rides will reduce the costs for these companies as well as the capabilities to operate 24*7. The end user will be safer with these rides as this AI chauffer will not molest, snatch, threaten or loot the passenger and the centralized network as well as embedded hardware in these vehicles will be aware the approaching vehicles and obstacles which significantly reduces the chance of an accident.

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