Pioneering predictive analytics leader RapidMiner has announced the general availability of RapidMiner Cloud. RapidMiner Cloud provides an easy, low cost way to: Push analytics processing to the Cloud ...
PARIS & LONDON--(BUSINESS WIRE)--Data Mining Automation software vendor KXEN is cited as a ‘leader’ in its sector in the “Forrester Wave TM: Predictive Analytics & Data Mining Solutions, Q1 2010” 1 ...
Dr. Zinovy Radovilsky, Professor of Management, College of Business and Economics, California State University, East Bay After battling a lackluster economy for years, most executives are out of ideas ...
Data mining is the automated process of sorting through huge data sets to identify trends and patterns and establish relationships. Organizations today are gathering ever-growing volumes of ...
SPSS, Inc., a global provider of predictive analytics software and solutions, has introduced the latest versions of its data mining workbench and text analytics software products, and renamed them to ...
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
Predictive analytics enables you to develop mathematical models to help you better understand the variables driving success. Predictive analytics relies on formulas that compare past successes and ...
This article was originally published by Data-Smart City Solutions. Governments today operate in an increasingly complex world, reflected in the volume and ubiquity of data produced by citizens and ...
The belief that predictive analytics—data mining, statistical modeling, and machine learning—can accurately forecast trends, behavior, and future outcomes based on historical data is a fallacy. Talk ...
In this special guest feature, Dr. Michael Zeller, SVP, AI Strategy & Innovation at Software AG, discusses how enterprises have reached a pivotal moment for operationalizing machine learning. For a ...
Data mining is an analytical process designed to explore and analyze large data sets to discover meaningful patterns, correlations and insights. It involves using sophisticated data analysis tools to ...
The retail landscape is a competitive one. Between online marketplaces, direct-to-consumer enterprises and brick-and-mortar stores, businesses are clamoring for any edge available — and they’re using ...