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This is not about hacking the cloud. Instead this is about using the cloud to hack
Some articles last year wrote on how hackers used Amazon Ec2 for hacking/ddos attacks.
Roth claims that a typical wireless password can be guessed by EC2 and his software in about six minutes. He proved this by hacking networks in the area where he lives. The type of EC2 computers used in the attack costs 28 cents per minute, so $1.68 is all it could take to lay open a wireless network.
Cloud services are also attractive for hackers because the use of multiple servers can facilitate tasks such as cracking passwords, said Ray Valdes, an analyst at Gartner Inc. Amazon could improve measures to weed out bogus accounts, he said.
and this article by Anti-Sec pointed out how one can obtain a debit card anonymously
VPN Account without paper trail
- Purchase prepaid visa card with cash
- Purchase Bitcoins with Money Order
- Donate Bitcoins to different account
Masking your IP address to log on is done by TOR
and the actual flooding is done by tools like LOIC or HOIC
So what safeguards can be expected from the next wave of Teenage Mutant Ninjas..?
I interviewed Angoss in depth here at http://www.decisionstats.com/interview-eberhard-miethke-and-dr-mamdouh-refaat-angoss-software/
Well they just announced a predictive analytics in the cloud.
KnowledgeCLOUD™ solutions deliver predictive analytics in the Cloud to help businesses gain competitive advantage in the areas of sales, marketing and risk management by unlocking the predictive power of their customer data.
KnowledgeCLOUD clients experience rapid time to value and reduced IT investment, and enjoy the benefits of Angoss’ industry leading predictive analytics – without the need for highly specialized human capital and technology.
KnowledgeCLOUD solutions serve clients in the asset management, insurance, banking, high tech, healthcare and retail industries. Industry solutions consist of a choice of analytical modules:
KnowledgeCLOUD solutions are delivered via KnowledgeHUB™, a secure, scalable cloud-based analytical platform together with supporting deployment processes and professional services that deliver predictive analytics to clients in a hosted environment. Angoss industry leading predictive analytics technology is employed for the development of models and deployment of solutions.
Angoss’ deep analytics and domain expertise guarantees effectiveness – all solutions are back-tested for accuracy against historical data prior to deployment. Best practices are shared throughout the service to optimize your processes and success. Finely tuned client engagement and professional services ensure effective change management and program adoption throughout your organization.
For businesses looking to gain a competitive edge and put their data to work, Angoss is the ideal partner.
Hmm. Analytics in the cloud . Reduce hardware costs. Reduce software costs . Increase profitability margins.
My favorite professor in North Carolina who calls cloud as a time sharing, are you listening Professor?
SAS Institute has release it’s financials for 2011 at http://www.sas.com/news/preleases/2011financials.html,
Revenue surged across all solution and industry categories. Software to detect fraud saw a triple-digit jump. Revenue from on-demand solutions grew almost 50 percent. Growth from analytics and information management solutions were double digit, as were gains from customer intelligence, retail, risk and supply chain solutions
AJAY- and as a private company it is quite nice that they are willing to share so much information every year.
The graphics are nice ( and the colors much better than in 2010) , but pie-charts- seriously dude there is no way to compare how much SAS revenue is shifting across geographies or even across industries. So my two cents is – lose the pie charts, and stick to line graphs please for the share of revenue by country /industry.
In 2011, SAS grew staff 9.2 percent and reinvested 24 percent of revenue into research and development
AJAY- So that means 654 million dollars spent in Research and Development. I wonder if SAS has considered investing in much smaller startups (than it’s traditional strategy of doing all research in-house and completely acquiring a smaller company)
Even a small investment of say 5-10 million USD in open source , or even Phd level research projects could greatly increase the ROI on that.
Analyzing a private company’s financials are much more fun than a public company, and I remember the words of my finance professor ( “dig , dig”) to compare 2011 results with 2010 results.
The percentage invested in R and D is exactly the same (24%) and the percentages of revenue earned from each geography is exactly the same . So even though revenue growth increased from 5.2 % to 9% in 2011, both the geographic spread of revenues and share R&D costs remained EXACTLY the same.
The Americas accounted for 46 percent of total revenue; Europe, Middle East and Africa (EMEA) 42 percent; and Asia Pacific 12 percent.
Overall, I think SAS remains a 35% market share (despite all that noise from IBM, SAS clones, open source) because they are good at providing solutions customized for industries (instead of just software products), the market for analytics is not saturated (it seems to be growing faster than 12% or is it) , and its ability to attract and retain the best analytical talent (which in a non -American tradition for a software company means no stock options, job security, and great benefits- SAS remains almost Japanese in HR practices).
In 2010, SAS grew staff by 2.4 percent, in 2011 SAS grew staff by 9 percent.
But I liked the directional statement made here-and I think that design interfaces, algorithmic and computational efficiencies should increase analytical time, time to think on business and reduce data management time further!
“What would you do with the extra time if your code ran in two minutes instead of five hours?” Goodnight challenged.