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 average salary for python professionals was Rs 10.5 lakh in 2017 and is expected to reach Rs 13.8 lakh per annum by the end of 2018. It clearly denotes 30% increase in salary. This is a loud call out for all data aspirants.
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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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The growth and popularity of R programming have been helping data-driven organizations succeed for years. Nearly every industry now sees data and analytics as a strategic competitive advantage, and R is the language of choice for the data analyst. Because of its popularity, not only is R helping drive success for companies using it, it’s driving its success as the industry standard for using data effectively. Here are a few examples of how companies use R to drive their bottom line.
The telecom sector is loosing billions of money every year due to fraud detection. Machine Learning is the best weapon for telecom industry against fraud detection. Machine Learning has the capability to self- learn, the algorithm gives accurate result which helps in detecting fraud activities.
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The product manager of google said that google app engine is supporting python (3.7) programming language and they are ready to use it in the next 25 days.
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