|By CloudCommons 2012||
|October 3, 2012 06:35 PM EDT||
Watch CloudViews Unplugged!
Watch the October episode of CloudViews Unplugged – a monthly video blog analyzing the top cloud news stories.
A new bill that focuses on the enforcement of criminal and civil law with regards to cloud computing was recently introduced by Senator Amy Klobuchar. The Cloud Computing Act of 2012’s primary purpose is to provide extra protection for cloud services as part of the Computer Fraud and Abuse Act. In this Forbes blog, Eric Goldman details what he considers the major problems with the bill and regulating the Internet in general.
Morgridge Institute, a non-profit that conducts biomedical research, is using cloud computing to index human stem cells, which will allow researchers to determine how to build various types of cell structures for research and experimentation, according to this GigaOM article. The Morgridge Institute used Cycle Computing’s software and AWS to process and index the stem cells.
The healthcare industry is improving treatment and saving time and money with cloud computing, according to this NPR article. Researchers at pharmaceutical companies are increasingly leveraging the power of cloud computing to discover new drugs and treatments.
GoDaddy announced that it is no longer going to offer its Cloud Servers product for SMBs, according to this GigaOM article. GoDaddy said in a statement that while they will continue to support Cloud Servers customers for the time being, they’ve decided to double-down on their shared hosting and site builder products.
Oracle made several cloud product announcements at Oracle OpenWorld this week, according to this CRN article. The announcements included storage, messaging, financial reporting, and budgeting services.
A new report from IDC examines the growth of the worldwide cloud systems management software market and ranks the current vendors, including CA Technologies, VMWare, BMC, HP, and IBM based on their 2011 cloud systems management software revenue. You can read the full report on CA.com.
By Andi Mann, CA Technologies
And musings on the actual state of cloud computing
If anyone wasn't wondering about the cloud's readiness for enterprise computing, they are now, thanks to several stories in the news recently. Some of these reports question cloud computing's business value, adoption rates and whether the enterprise is ready for the cloud (or vice versa).
Others ask if IT professionals are even capable of delivering cloud services reliably and securely. Still others warn of a coming cloud boogie-man lurking in the shadows, waiting to spring a privacy trap on us, like some kind of cloud computing video game troll. Read the full article.
In the October episode of CloudViews Unplugged, Andi Mann and George Watt of CA Technologies wrap up the cloud news in 10 minutes. Topics include rogue enterprise IT spending, schools using cloud for collaboration, restaurants using cloud and mobile, Amazon's EC2 instances marketplace and more.
What is cloud computing anyway? In this GigaOM blog, Mark Thiele argues that everyone needs to stop worrying about what the cloud is or isn’t and instead they should be focused on leveraging technology that meets their requirements and enables them to achieve agility and create opportunity.
Will the term cloud computing soon be replaced? In this ReadWriteWeb blog, Brain Proffitt identifies some of the challenges that consumers are having with the term “cloud” and explains what some companies are doing to better define cloud computing.
What are the 10 issues that destroy customers’ confidence in cloud computing? In this Talkin’ Cloud blog, Chris Talbot details the results of a recent Cloud Security Alliance and ISACA survey which showed that issues like contract lock-in, data privacy, and longevity or suppliers are eroding customer confidence.
Germany may be the next big market for MSPs, according to this MSPmentor article. The strength of the market in Germany is due to a strong economy and large base of SMEs that need IT services.
Oct. 1, 2016 12:30 PM EDT Reads: 605
Oct. 1, 2016 12:30 PM EDT Reads: 3,092
Oct. 1, 2016 12:30 PM EDT Reads: 5,525
Oct. 1, 2016 12:30 PM EDT Reads: 3,261
Oct. 1, 2016 12:30 PM EDT Reads: 2,325
Oct. 1, 2016 12:30 PM EDT Reads: 601
Oct. 1, 2016 11:45 AM EDT Reads: 2,800
Oct. 1, 2016 11:45 AM EDT Reads: 265
Oct. 1, 2016 11:30 AM EDT Reads: 1,326
Oct. 1, 2016 11:15 AM EDT Reads: 881
Oct. 1, 2016 10:45 AM EDT Reads: 619
Oct. 1, 2016 10:30 AM EDT Reads: 716
Oct. 1, 2016 10:30 AM EDT Reads: 1,728
Oct. 1, 2016 10:00 AM EDT Reads: 3,207
Oct. 1, 2016 10:00 AM EDT Reads: 3,326
Oct. 1, 2016 10:00 AM EDT Reads: 524
Oct. 1, 2016 09:45 AM EDT Reads: 843
Oct. 1, 2016 09:15 AM EDT Reads: 1,683
So, you bought into the current machine learning craze and went on to collect millions/billions of records from this promising new data source. Now, what do you do with them? Too often, the abundance of data quickly turns into an abundance of problems. How do you extract that "magic essence" from your data without falling into the common pitfalls? In her session at @ThingsExpo, Natalia Ponomareva, Software Engineer at Google, provided tips on how to be successful in large scale machine learning...
Oct. 1, 2016 08:30 AM EDT Reads: 2,518
Oct. 1, 2016 08:30 AM EDT Reads: 3,431