Amanda Christensen, ideaXme guest contributor, fake news and deep fake researcher, and Marketing Manager at Cubaka, interviews Nitendra Rajput, VP and Head of Mastercard’s AI Garage.
Amanda Christensen Comments:
Artificial intelligence has become a technological buzzword, often solely referred to AI rather than depicting the possibly infinite amount of practical applications that artificial intelligence can actually provide, or the intricacies involved from industry to industry, and region to region.
To discuss some of the many applications for artificial intelligence, as well as some of the considerations to be taken into account to create more accurate and less biased machine learning systems, I had the pleasure of speaking with Nitendra Rajput, VP and Head of Mastercard’s AI Garage.
Nitendra Rajput VP and Head of Mastercard’s AI Garage
Nitendra Rajput is the Vice President and Head of Mastercard’s AI Garage, setting up the centre to enable it to solve problems across various business verticals globally with machine learning processes, increasing efficiencies across the business as well as mitigating instances of fraud.
Nitendra has over 20 years experience working in the fields artificial intelligence, machine learning, and mobile interactions, after realising a gap in the market for developing speech recognition systems for vocally-led countries, such as India.
Nitendra Rajput: 18 Years at IBM
Prior to Mastercard’s AI Garage, he spent 18 years at IBM Research, working on different aspects of machine learning, human-computer interaction, software engineering and mobile sensing. He then spent 2.5 years at InfoEdge as EVP and Head of Analytics from 2017 to 2019.
On this show you will hear from Nitendra:
About his background; how he developed an interest in artificial intelligence, machine learning, and mobile interactions. An introduction into the work being undertaken at the Mastercard AI Garage. An introduction to the cultural nuances and ethical processes to be considered when developing artificial intelligence and machine learning processes. Current and possible applications for artificial intelligence relating to COVID-19.
Credits: Amanda Christensen interview video, text, and audio.
If you liked this interview, be sure to check out our interview on solving problems of data privacy with CIS Labs!
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