WEBCAST:
Access this webcast to learn how using the latest intent data and AI-driven technologies can transform their productivity and yields from a market, an ICP, or a set of named ABM accounts.
WEBCAST:
There is a significant investment in the monitoring tools that support your current physical and virtualized infrastructure. This webcast will help you develop tactical and strategic plans for transitioning to the new challenges of managing and optimizing the abstracted infrastructure elements of the SDDC.
VIDEO:
The dynamic case management approach is helping companies achieve significant, competitive results. In this webinar, learn how your company can also achieve better service outcomes with dynamic case management.
WEBCAST:
This webcast will cover how to work with business groups to gather requirements, identify needs and select the most valuable approach to a wireless application.
Posted: 01 Aug 2007 | Premiered: Aug 16, 2007, 13:00 EDT (17:00 GMT)
TRIAL SOFTWARE:
Serena Service Manager is an processed-based ITSM solution that keeps people and processes perfectly in sync. View now to try Pink Elephant's ITIL innovation of the year.
WEBCAST:
In this webcast, you will see how a customer is increasing the speed and effectiveness of their packaged apps testing projects by using best practices and testing accelerators. Inside, learn about solutions that can enhance development and testing efforts for business-critical systems that organizations rely on.
WEBCAST:
This Webinar explains how by combining the power of SAS® Business Analytics with Microsoft Office you will be able to easily access data from any operational system without IT intervention, automate spreadsheets and PowerPoint decks, and save time and money by reducing redundancy and improving productivity.
PODCAST:
This webcasts explains the fundamentals of automation and how it fits into a larger cloud strategy. Inside, get practical advice on where and how to get started.
WEBCAST:
Tune in to this Webinar to find out how data quality influences the effectiveness of predictive analytics and forecasting. You’ll learn how to go beyond name and address matching to realize the potential of numerical data quality, how to overcome insufficient yet relevant data from your predictive and forecasting models, and more.