Spotify is one of the top music streaming provider. It uses python for data analysis which helps them in better decision making. And they are also using in back-end services which are written in the python language.
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The technology is witnessing extraordinary changes. Nowadays, journalists are using ML for analyzing massive sets of data and the combination of ML and journalism provides deep analysis reports.
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Twitter uses R for Data Visualization and Semantic Clustering. Twitter has created some super impressive projects using R. They also have created open-source packages for anomaly and breakout detection, which has helped improve their customer experience.
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Artificial Intelligence & Data Analytics has helped Max Life Insurance to increase their conversion rates, ability to launch new product, features faster than ever before and continuously engage with the customer.
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The global Data Analytics market in Banking sector was $7.19 billion in 2017 and it is expected to reach $14.83 million by 2023, growing at a CAGR of 12.97% between (2018-2023).
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Instagram is the largest photo sharing social media platform. 100 million photos and videos are uploaded on Instagram every day. A massive amount of data is generated and it is not possible for humans to analyze that amount of data. So they use the Python programming language to analyze data.
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