RSS Mix

Network World Data Center News Feed

The Network World Data Center news feed is updated most days, generally with less than five new stories. Some days there are no new stories. Frequently mixed with other network news feeds.

Date # Stories
18th Oct 2018 1
19th Oct 2018 1
20th Oct 2018 0
21st Oct 2018 0
22nd Oct 2018 2
23rd Oct 2018 1
24th Oct 2018 2
25th Oct 2018 1
26th Oct 2018 0
27th Oct 2018 0
28th Oct 2018 0
29th Oct 2018 7
30th Oct 2018 0
31st Oct 2018 3
1st Nov 2018 0
2nd Nov 2018 1
3rd Nov 2018 0
4th Nov 2018 0
5th Nov 2018 2
6th Nov 2018 3
7th Nov 2018 1
8th Nov 2018 5
9th Nov 2018 2
10th Nov 2018 0
11th Nov 2018 0
12th Nov 2018 1
13th Nov 2018 1
14th Nov 2018 0
15th Nov 2018 0
16th Nov 2018 3
17th Nov 2018 0

Most often mixed with

Available Fields

Channel fields

  • title
  • link
  • description
  • language
  • pubDate
  • lastBuildDate
  • image

Item fields

  • guid
  • link
  • title
  • description
  • enclosure
  • author
  • pubDate

Last 3 items

Gotcha pricing from the cloud pushes workloads back on premises

Published on 16th November, 2018, 5:20 PM

A new survey by cloud software vendor Nutanix finds that most firms are embracing the hybrid model, but few have actually achieved it. And many are shifting their workloads back on premises because of cloud costs.

This was Nutanix’s first global Enterprise Cloud Index, so it doesn’t have historical data by which to measure, but its initial findings match what we’ve known for a while. 

The hybrid cloud, a mix of on-premises and public cloud computing, working in tandem is the preferred method for most firms; 91 percent to be exact. But only 19 percent of firms surveyed said they have that model today. One reason is that app vendors make it hard to operate in hybrid mode, said Wendy Pfeiffer, CIO at Nutanix.

To read this article in full, please click here

Network operations: A new role for AI and ML

Published on 16th November, 2018, 11:00 AM

Artificial intelligence (AI) and machine learning (ML) are still viewed with skepticism by many in IT, despite a decades-long long history, continuing advances within academia and industry, and numerous successful applications. But it’s not hard to understand why: The very concept of an algorithm running on a digital computer being able to duplicate and even improve upon the knowledge and judgement of a highly-experienced professional – and, via machine learning, improve these results over time – still sounds at the very least a bit off in the future. And yet, thanks to advances in AI/ML algorithms and significant gains in processor and storage performance and especially the price/performance of solutions available today, AI and ML are already hard at work in network operations, as we’ll explore below.

To read this article in full, please click here

(Insider Story)

Network operations: A new role for AI and ML

Published on 16th November, 2018, 11:00 AM

Artificial intelligence and machine learning are still viewed with skepticism by many in IT, despite a decades-long long history, continuing advances within academia and industry, and numerous successful applications. But it’s not hard to understand why: The very concept of an algorithm running on a digital computer being able to duplicate and even improve upon the knowledge and judgement of a highly-experienced professional – and, via machine learning, improve these results over time – still sounds at the very least a bit off in the future. And yet, thanks to advances in AI/ML algorithms and significant gains in processor and storage performance and especially the price/performance of solutions available today, AI and ML are already hard at work in network operations, as we’ll explore below.

To read this article in full, please click here

(Insider Story)

Go to Feed