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.
ESSENTIAL GUIDE:
The National Museum of Computing has trawled the Computer Weekly archives for another selection of articles highlighting significant articles published in the month of May over the past five decades.
EZINE:
We search back through the Computer Weekly archives held at The National Museum of Computing to present what was happening in IT over the past five decades.
EGUIDE:
In this e-guide: Simplifying the deployment and management of datacentre hardware systems is one of the main draws of converged and hyper-converged infrastructure setups for enterprises.
EZINE:
In this week's Computer Weekly, we examine the implications of the controversial acquisition of UK chip leader Arm by US rival Nvidia. Black Lives Matter has raised awareness of social inequalities, but is the tech sector becoming more diverse? And we ask if business software can learn from the addictive nature of social apps. Read the issue now.
WHITE PAPER:
Check out this exclusive resource to uncover a complete list of tips and tricks for virtual lab testing in a Hyper-V environment, so you can eliminate as many risks as possible.
DATA SHEET:
Read this informative data sheet from IBM detailing their new server hardware optimized for cloud computing and desktop virtualization and learn how their new servers can cut downtime out of the equation for you and your organization.
WHITE PAPER:
Take a look at this in-depth resource to find out what you need to know about the next generation servers and how you can successfully transition to this latest technology.
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.
