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Popular Technology White Papers

By: Black Duck Software     Published Date: May 18, 2010
In this webinar Black Duck Software (www.blackducksoftware.com), together with representatives of SAP, will review the benefits open source offers to development organizations, the management challenges it presents, and approaches for addressing those challenges.
Tags : 
black duck software, open source, platform, sap, multi-source, code, source
    
Black Duck Software
By: Akamai     Published Date: Jun 14, 2010
Looking back to the first iterations of travel Web sites, we can appreciate just how far technology has come. As advancements like high-speed connections began to replace the now archaic dial-up experience, consumers adjusted their expectations and demands of the companies they patronized. To gain a deeper understanding of the status of travelers' current online expectations, Akamai commissioned PhoCusWright to conduct a study examining key elements of the online consumer experience.
Tags : 
akamai, travel, site performance, phocuswright, customer experience, usability, travel ecommerce, web load
    
Akamai
By: HP AMD     Published Date: Jun 27, 2010
This paper highlights the new architectural features and performance of the AMD OpteronT 6100 Series processor based HP ProLiant G7 Servers. It focuses on the value to the end user when applied to High Performance Computing (HPC) solutions.
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hp, amd, proliant, roi, virtualized, data center, architecture, infrastructure
    
HP AMD
By: Micro Focus     Published Date: Jul 19, 2010
As a major wholesale retailer and distributor, Elektroskandia is highly dependent on its Central Warehouse Management System. But this critical application was running on an aging mainframe and, with the discontinuation of its operating environment, the system's support and maintenance costs had grown to unacceptable levels.
Tags : 
micro focus, electroskandia, windows environment, central warehouse management system, enterprise resource planning, erp, management system
    
Micro Focus

Popular Manufacturing White Papers

By: Akamai     Published Date: Jun 04, 2010
Predictive analytics have been used by different industries for years to solve difficult problems that range from detecting credit card fraud to determining patient risk levels for medical conditions. It combines data mining and machine-learning technologies to create statistical models based on historical data. It then uses these models to predict future events. Extracting the power from the data requires powerful algorithms behind predictive analytics.
Tags : 
akamai, predictive, online advertising, tracking pixels, online shopping, in-market, site visitors, performance marketing
    
Akamai
By: Black Duck Software     Published Date: May 18, 2010
In this webinar Black Duck Software (www.blackducksoftware.com), together with representatives of SAP, will review the benefits open source offers to development organizations, the management challenges it presents, and approaches for addressing those challenges.
Tags : 
black duck software, open source, platform, sap, multi-source, code, source
    
Black Duck Software
By: Kaseya     Published Date: Jul 08, 2010
To better understand how integrated, automated management tools can improve IT productivity, Kaseya recently posed the following questions to Mary Johnston Turner, research director for IDC's System Management Software service, on behalf of Kaseya's corporate IT customers.
Tags : 
kaseya, automated management tool, integrated it operation, system management software
    
Kaseya
By: CA Technologies     Published Date: Jul 26, 2010
This study illustrates the financial impact of moving from multiple, automated point-solutions, along with manually intensive effort, to a global, highly automated testing and monitoring solution.
Tags : 
ca technologies, ca wily, application performance management, apm, roi, application support, it management software, tei framework
    
CA Technologies
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Predictive analytics have been used by different industries for years to solve difficult problems that range from detecting credit card fraud to determining patient risk levels for medical conditions. It combines data mining and machine-learning technologies to create statistical models based on historical data. It then uses these models to predict future events. Extracting the power from the data requires powerful algorithms behind predictive analytics.