EZINE:
This month's MicroScope ezine looks at the issues around device as a service (DaaS), the outlook from HP and a report from the UK CompTIA conference.
EZINE:
In this week's Computer Weekly, the proliferation of ethical frameworks has done little to change how artificial intelligence is developed – we look at the challenges. We examine the future of the UK semiconductor sector as the government launches a review. And we hear how NatWest has put data at the heart of customer strategy. Read the issue now.
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.
WHITE PAPER:
Explore this datasheet to learn about a scalable server package that can save your enterprise money without sacrificing speed or availability.
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:
Access this exclusive, informative resource to find out how one data center solution can provide you with the support you need for desktop virtualization.
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.
EZINE:
This month's Modern Infrastructure e-zine examines how two abstraction technologies are being used together and how some open source innovators are even latching onto this best-of-both-worlds idea in an effort to better merge containers and VMs.
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.
