EGUIDE:
The National Museum of Computing has trawled the Computer Weekly archives for another selection of articles highlighting significant articles published in the month of June over the past few decades.
EZINE:
In this week's Computer Weekly, we find out how the UK's power networks need to be digital transformed to be ready for renewable energy – and the role of open source. Wi-Fi 6 was meant to give a boost to wireless connectivity – we examine why adoption has stalled. And we look at what a quantum datacentre might be like. Read the issue now.
EGUIDE:
As one of the forerunners in technology adoption, Indian enterprises have been keen to embrace emerging technologies such as AI, IoT and big data, driving an upsurge in storage requirements. In this e-guide, read more about India's storage market, the next frontier of storage technology and flash storage options from the top cloud providers.
EGUIDE:
The term hyper-convergence means different things to different people. But at its core, hyper-convergence brings together servers and storage network resources that are managed as a single unit using software. In this e-guide, learn more about the benefits of hyper-convergence and how you can derive the greatest value from your investment.
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.
RESOURCE:
The secret is out about the benefits of using a cloud-based workplace collaboration tool, which companies rely on to increase employee productivity while in the midst of a content tsunami. Participate in our survey today for complete access to a printable chart, and start comparing 10 top cloud collaboration vendors & features for your company.
WEBCAST:
In the following custom webcast, two experts dig into the storage challenges associated with supporting AI and machine learning workloads. Join here for the details and for a first-hand look at a solution that provides the performance, reliability, and scalability these workloads require.
WEBCAST:
Evaluator Group Senior Strategist Randy Kearns and VP of Marketing at WekaIO Barbara Murphy dig into this question in this custom webcast; they also examine a high-performance storage system that provides the parallel data access, architecture for multiple data types, and flexible scalability that ML and DL workloads require.
EGUIDE:
Read this e-guide to explore the benefits of hyper-converged edge computing, usage scenarios and products appropriate for each, and how to tackle any challenges that may arise.
