Big Data Analytics and Machine Learning – Real World Application and A Game Changer for Fraud, Waste and Abuse

Big Data Analytics is associated with designing strategy to efficiently analyze huge volumes of diverse data, that is gathered from a wide variety of platforms which includes - social media networks, sensors, science, social science domain, cell phones, transaction records, videos, and host of others. The aim of Big Data Analytics is to uncover hidden patterns, extract relevant data from the huge stock of stored data, which might give insight into useful data that may be helpful to make smarter business decisions, an assured way to a successful business. Machine Learning is all about using algorithms for real-time processing of data, the aim being accurate future predictions, which can help simplify tasks and produce error- free results, leading to growth and success in business. The amazing part about the using Machine Learning is that it has cut down human intervention and most importantly provided accurate results. Big Data Analytics and Machine Learning are undeniably the two most powerful real-world applications that has been efficiently used by technology giants to use their Big Data more efficiently, to identify new opportunities, take faster, better and agile business decisions to stay competitive, most importantly keep a check on fraud, waste and abuse of data, which in turn can lead to higher returns.