EZINE:
There is a lot of uncertainty in the world right now, and businesses might be forgiven for taking a cautious approach to their planning. But one thing is certain, and that is that oil-rich countries in the Middle East will continue to invest heavily in diversifying their economies.
EGUIDE:
In this e-guide, Jawad Akhtar – long-time SAP expert in everything from SCM to products like HANA and Hybris – explores how to make your SAP HANA implementation successful. Uncover 5 tips to light your way towards a smooth, seamless SAP HANA adoption.
EZINE:
In this issue of CW EMEA, we look at the startup scene in Finland. Every startup needs a starting place, and many Finnish innovators began at Aalto University. We also look at how the Gulf region is seeing some of the heaviest investments in the latest technology as countries diversify their economies to reduce reliance on oil. Read the issue now.
CASE STUDY:
KFC, the global fast food chain, was upgrading to a new software platform, and they needed to upgrade its existing point-of-sale (POS) equipment that would support the new software regulations. In this brief case study, find out which POS system KFC ultimately chose, and discover the benefits they experienced from the hardware upgrade.
WHITE PAPER:
Take a look at this exclusive resource to find out how HP's new approach to infrastructure management can help you save time and money when confronting data center challenges.
WHITE PAPER:
In this resource, explore the three principles of great enterprise design—stability, scalability, and agility—and learn how to apply them to your SAP landscape with a focus on SAP HANA. Read on for best practices and key design considerations for implementing your SAP HANA enterprise-level solution.
BROCHURE:
Explore this resource to find out how HP's ConvergedSystem for Virtualization can drive faster time-to-value while providing the scalability you need.
EGUIDE:
Machine learning examples are finally making their way to the home territory of computer science – the data center. Learn why data centers are an ideal environment for machine learning and explore examples of machine learning found in data centers.
