The e-commerce platform Amazon named veteran Samir Kumar as its new head in India on Wednesday. The company replaced Manish Tiwary who is set to step down after eight years of tenure as the head of Amazon in India, according to Reuters. With the new change the current Amazon.in the leadership team of Saurabh Srivastava (Categories), Amit Nanda (Marketplace), Aastha Jain (Growth Initiatives) and Harsh Goyal (Everyday Essentials), will report to the new head Kumar from October onwards.
Samir Kumar will take over Manish Tiwary on October 1 apart from his current role as the head of consumer business in South Africa, Turkey and the Middle East. Samir Kumar joined Amazon in 1999 and was a part of the Amazon.in launch in 2o13. Amazon has stated that the current head Tiwary will be resigning from the role to pursue other opportunities outside the company. However, Amazon didn’t speak about it in detail as per the Reuters report.
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Since Amazon is expected to invest $26 billion by 2030 in India, the company plans to expand making certain changes in its departments. However, amazon confronts austere regulations which are forced to run the company as an online entity to help sell clients their products, but the company is attempting to focus on innovative ideas to grow the business. This would mark the end of an era for Amazon India where Tiwary played a pivotal role in growing the business and its expansion around the globe.
Adding to these new changes, Amazon is on a mission to acquire through the AI chip venture rooted in its process to dwindle the dependence on Nvidia chips and tax that currently provides AI cloud business at the company’s web services. The company intends to aid customers process a large number of data most cheaply and completing elusive tasks in the simplest form.
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The company has been trying to discover affordable alternatives as the customers demand more viable options to compete with Nvidia. The chip development in Amazon web services was incipient and has already brought in demand yet the company’s machines that perform independently under heavy use chips computing non-AI are underway on processing, which started a year back and is already on its fourth generation. The new designs include Inferentia and Trainium.