Analytics tools for big data

1. 10 ways ML will play an important role in the world of big data Machine learning and big data go hand in hand! The more data (quality data!) you feed to your machine learning algorithm… the better the algorithm learns and predicts accurate outcomes. Machine learning patents form the third- fastest growing category of all patents granted between 2013 and 2017 80% of hours streamed on Netflix are based on machine learning driven recommendations that come from analysing data for over 100 million subscribers Machine learning and big data driven personalization + targeted recommendations save Netflix over USD 1 billion per year! Machine learning based fraud detection will Minimize detection time by 70 % Increase accuracy by 90 % Deep learning has become a standard element in 80% of data scientists' tool kits 75% of enterprises using machine learning boost sales by more than 10% ML-based predictive maintenance 75% decrease in failures 45% increase in uptime 30% drop in maintenance expenses 10times return on investment Machine learning chips used in data centers will shoot up to 800k in 2018 from 200k in 2016 800 K 100-200K 2016 2018 x2 x2 in 2018 in 2020 Number of machine learning pilots By 2021, more than 50% of organizations will spend a higher amount per year on ML-based bots and chatbot development than traditional mobile app creation - in 2018 will be twice as many as 2017 - in 2020 will be double that of 2018 About Accelerite Accelerite ShareInsights Accelerite ShareInsights is a powerful big data analytics platform with an easy-to- use self-service interface for data preparation, analysis, visualization, and machine learning. Learn more at www.accelerite.com/shareinsights ShareInsights