WHITE PAPER:
NI platform offers high test throughput, increased productivity, and a lower cost of ownership than traditional disjoint systems or turnkey solutions based on proprietary architectures.
WHITE PAPER:
By providing a common architecture for the 100 MS/s mixed-signal prototyping a test suite of instruments, the SMC enables the instruments to test systems where digital and analog signals are side by side.
PRODUCT LITERATURE:
With energy prices on a steep climb, soon the cost to power and cool a server over its life span could equal its purchase price. By “going green” with energy-efficient IBM® System x™ servers featuring Intel® Xeon® processors, you can win back control of your IT budget--and win the battle with data center...
SOFTWARE DOWNLOAD:
Hitachi IT Operations Analyzer delivers all-in-one monitoring for the data center. A single interface provides a view to the availability and performance of servers and network and storage devices on a network. It eases troubleshooting without agents.
EBOOK:
Big data is great, but how do you get it all to the analytical engines? Read this white paper to learn how to start getting big data to where it's needed.
IT BRIEFING:
By replacing aging single-core processor-based servers with new, more energy-efficient servers, you can gain capacity to grow and to increase IT performance using fewer servers. The estimated cost savings from energy and other operating cost efficiencies can pay for new servers in a an estimated 8 months.
CASE STUDY:
Read this case study to learn how a large European shipping company integrated an Intermec Imaging Solution to resolve issues associated with their manual recording process of container codes and estimates considerable man-hour savings and improved container code recording accuracy.
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.
