Cloud Untangled #3.2 with Roman - Cloud Transformation Stories

Hello, Roman here! ???Issue?3?on Cloud Transformation stories is out to my subscribers. In this issue:

• ? Can you imagine selling 100,000 cars through your website in the first 30 minutes of launch? Read on how it was made possible!
• ? Software Defined Vehicle is the new general term describing modern cars with most of their functional features defined by software. Find out how 雷诺 brings this to live with the power of the cloud.
• ? When NYSE trades 2.4 billion shares and processes over 330 billion messages a day, one can be scared of a sheer volume of historical data. Yet NYSE has to provide that non-real time data to their customers. Learn how NYSE solved that problem with the cloud.
• ? Insightful transformation story of iptiQ by Swiss Re building the cloud platform enabling intermediary insurance organisations to partner with retailers to offer home insurance products.

Cloud Transformation Stories

• Sales topped 100,000 cars in the first 30 minutes of launch - you may think it's a worldwide statistics on selling a very successful new car model! Actually, this is the incredible performance of Mahindra Group selling their new model Scorpio-N SUV. The new bookings platform powered by Google Cloud ?broke multiple records?during the launch day, with 25,000 booking requests in the first minute, and 100,000 booking requests in the first 30 minutes, totaling USD 2.3 billion in vehicle sales.
• "Software Defined Vehicle or SDV" is on top of the strategic agenda of every car manufacturer. 雷诺 is no stranger to continuous delivery of software features directly to the car.?Through the creation of AI-enabled?Digital Twin?powered by Google Cloud , Renault will be able to anticipate failures in a car before they occur, deliver a personalised onboard experience, and improve insurance packages that will adapt to driving behaviours.
• On top of trading 2.4 billion shares and processing over 330 billion messages a day, NYSE faces the demand from its customer for non-real time data. A simple solution existed - customers could download this data directly from NYSE. Surging trading volumes, and high volatility days becoming more frequent created a problem for customers as they could not access that non-real time data quick enough. By moving to AWS?NYSE cut download times and built a cloud-native platform for our historical data products.
• Although I have not experienced it myself, it is becoming common to get a home insurance when you buy furniture or home decoration. Insurance companies enable this by providing technology platforms joined by both home furnishing retailers, like 宜家 , and insurance intermediaries. Swiss Re’s division iptiQ by Swiss Re has built such platform to?help its partners deliver simple, digital insurance solutions on AWS. This innovative model is known as business-to-business-to-consumer (B2B2C) insurance, and the market for such services is set to almost?triple in size between 2020 and 2031.

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Have a great week building on the cloud! See you this week for other cloud topics — Roman