WEBCAST:
This webcast, featuring Intel and Virtual Iron, explores the key drivers and enabling technologies behind server virtualization. Best practices for supporting virtualized workloads in production environments will also be discussed.
PODCAST:
In this podcast, you'll hear from Lexy Martin, the director of Research and Analytics for CedarCrestone, and the author of a recent, in-depth Oracle white paper on HR Analytics, as she talks about current trends in HR and how firms are using analytics to gain insights on their HR operations and performance.
WEBCAST:
Businesses today are facing a very different kind of competition that is rooted in extensive data analysis and demonstrated in decision making that is fast, comprehensive, and based on factual information. In this environment, Sybase IQ shines as a highly optimized analytic server.
WEBCAST:
This video case study explores Del Monte Foods' cloud strategy – including why the food production company decided to move to the cloud and how it alleviated its cloud concerns.
WEBCAST:
This on-demand video case study explains how Sicoob, Brazil's largest cooperative credit system, achieved high performance and scalability by investing in the right server platform, allowing the company to accommodate business growth.
WEBCAST:
This webcast explores how WebSphere and IBM Rational work together to help businesses achieve strategic objectives with reduced risk and cost and also for translating business vision and strategy into architectural change.
Posted: 16 Jun 2010 | Premiered: Jun 24, 2010, 12:00 EDT (16:00 GMT)
WEBCAST:
In this brief video, learn how the leading wheel and tire distribution company American Tire Distributors was able to reduce costs, improve performance, and empower scalability and agility by virtualizing its Oracle E-Business Suite tools.
WEBCAST:
In this educational webcast, human resources management expert Gretchen Alarcon explains how HR teams can ramp up their contribution towards meeting business goals by using actionable insights from both embedded and predictive analytics - along with "what if" modeling – to manage the workforce effectively and in real time.