Big data analytic can improve insurance claims processing

Insurance is a means of protection from financial loss. It is a form of risk management primarily used to hedge against the risk of a contingent, uncertain loss. Here are six ways where big data analytics can improve insurance claims processing: 1. Fraud One out of 10 insurance claims is fraudulent. Most fraud solutions on

Qualys Asset Inventory Product Overview

Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware. It provides massive storage for any kind of data, enormous processing power and the ability to handle virtually limitless concurrent tasks or jobs. Why is Hadoop important?  Ability to store and process huge amounts of any kind of

Retina CS Technical Overview by E-SPIN, Main aspects of the General Data Protection Regulation

There are many software tool for handling big data to help in achieving these goals and help data scientists to process data for analyzing them. Many new languages, frameworks and data storage technologies have emerged that supports handling of big data. R : is an open-source statistical computing language that provides a wide variety of

AI take over IT job

AI take over massive of IT job that in the past manual and brain work intensive work such as data entry, manipulate data, compile report and reactive, passive job that waiting for service request and then react, and off course majority of repeated work. From the news headline this year along, we saw Microsoft, Oracle,

Benefits of Big Data for Banking Industry

What exactly is Big Data and Benefits of Big Data for Banking Industry? Big data was born out of the necessity of data sets growing so large and complex that traditional tools are no longer sufficient to process this data. By aggregating large amounts of data from many different sources by leverage cloud computing, business intelligence

Industry Telecommunications

Big Data Challenges for Telecommunications Provider 1) Volume With the advent of LTE/4G mobile networks, the volume of operational data generated with every call or session is increasing tenfold. The expanded use of GPS, location-based services, and social media is adding to the torrent of data. Finally, the advent of IPv6 will create as many