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dhtobey Tobey

Google Prediction API - Google Code - 0 views

  • The Prediction API enables access to Google's machine learning algorithms to analyze your historic data and predict likely future outcomes. Upload your data to Google Storage for Developers, then use the Prediction API to make real-time decisions in your applications
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    Potential analytic toolkit for analyzing behavior trends in best practices
dhtobey Tobey

Amazon Stealing the Cloud « SmoothSpan Blog - 2 views

  • A survey of 600 developers by Mashery reported that 69% of respondents said Amazon, Google, and Twitter were the most popular API’s they were using.
  • Amazon and Netflix jointly published a great case study and announced Netflix would move more infrastructure into Amazon’s Cloud.
  • A wonderful post on CNet talks about Goldman Sachs’ findings for the Cloud.  There were a ton of them including:           – A ranked list of apps moving into the Cloud.  Web Conferencing and Salesforce Automation were #1 and #2. 
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  • The majority of SMB’s now have a “SaaS first” policy, they prefer it. 
  • Amazon.com is used by 67 percent of the survey respondents. It is clearly the out-in-front leader, despite being a “newcomer” to enterprise IT. For internal clouds, VMware’s leadership remains pronounced, with 83 percent of respondents using its virtualization technology.  Platform-as-a-service layers are gaining momentum, dominated by Amazon’s Elastic Compute Cloud, or EC2, service, with 77 percent of respondents choosing EC2 as a preferred partner, well ahead of Google.  These share numbers are why the title of this post is that Amazon is stealing the Cloud.  They represent remarkable share and momentum.
  • UK firm Netcraft finds that the Amazon Cloud hosts 365,000 web sites.  Evidently a number of firms have discovered that web hosting is a great commodity use for the Cloud. -  PC World asks why Amazon doesn’t charge more for its service.  They conclude that AWS is looking to build economies of scale and set low prices that act as a barrier to entry for new competitors.  Like I said, Amazon isn’t afraid of being commoditized for they are the commoditizers.
  • And they’re building barriers to entry of several kinds: -  Nobody but Amazon has the experience of running a Cloud service on this scale.  They can’t help but be learning important things about how to do it well that potential competitors have yet to discover. -  There is a growing community of developers whose Cloud education is all about Amazon. 
dhtobey Tobey

Adomavicius: Toward the next generation of recommender... - Google Scholar - 0 views

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    Don't know if this is the best way to do this, but here is a list of publications referencing a seminal paper on recommender systems that should form a core capability of VivoWorks. We need a way to maintain a library of key research papers, hopefully that is continually refreshed. Perhaps we can create an RSS from this page (or the new Google Scholar alert) and put it into a mindmap of key technologies for VivoWorks (this being the "recommender systems" link) that is loaded on our internal portal?
Steve King

Strategic marketing: an introduction - Google Books - 0 views

shared by Steve King on 06 Jun 10 - Cached
  • Strategic marketing: an introduction By Tony Proctor
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    PEST, SWOT, etc
dhtobey Tobey

Rollett: The Web 2.0 way of learning with technologies - Google Scholar - 0 views

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    Another seminal article feed for the library. This one on social learning systems design.
dhtobey Tobey

The Rise of Crowd Science - Technology - The Chronicle of Higher Education - 0 views

  • Alexander S. Szalay is a well-regarded astronomer, but he hasn't peered through a telescope in nearly a decade. Instead, the professor of physics and astronomy at the Johns Hopkins University learned how to write software code, build computer servers, and stitch millions of digital telescope images into a sweeping panorama of the universe.
  • Today, data sharing in astronomy isn't just among professors. Amateurs are invited into the data sets through friendly Web interfaces, and a schoolteacher in Holland recently made a major discovery, of an unusual gas cloud that might help explain the life cycle of quasars—bright centers of distant galaxies—after spending part of her summer vacation gazing at the objects on her computer screen. Crowd Science, as it might be called, is taking hold in several other disciplines, such as biology, and is rising rapidly in oceanography and a range of environmental sciences. "Crowdsourcing is a natural solution to many of the problems that scientists are dealing with that involve massive amounts of data," says Haym Hirsh, director of the Division of Information and Intelligent Systems at the National Science Foundation.
    • dhtobey Tobey
       
      Crowdsourcing should be added to our pitch on collective intelligence and included as a primary benefit in NSF and related grants for university development of our code base.
  • Mr. Szalay's unusual career began with a stint as a rock star. While in graduate school in Hungary, he played lead guitar in the band Panta Rhei, which released two albums and several singles in the 1970s.
    • dhtobey Tobey
       
      Hey, this guy might "get" our publishing/producer metaphor for LivingMethods. Perhaps he might be a collaborator on the NSF solicitation for coordinated science applications?
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  • In 2007 tragedy ended their long partnership. Mr. Gray set out from San Francisco on a solo trip on his 40-foot sailboat and did not return.
    • dhtobey Tobey
       
      Oops... looks like the guy needs a new systems partner!
  • A couple of years after Mr. Szalay joined the project, a colleague introduced him to Jim Gray, who was a kind of rock star himself—in the computer-science world. Wired magazine once wrote that the programmer's work had made possible ATM machines, electronic tickets, and other wonders of modern life. When Mr. Szalay met him, Mr. Gray was a technical fellow at Microsoft Research and was looking for enormous sets of numbers to place in the databases he was designing.
    • dhtobey Tobey
       
      Nice link with Microsoft Research Labs.
  • in 1992 came the project that would change his career. Johns Hopkins joined the Sloan Digital Sky Survey project, a computerized snapshot of the heavens.
  • The scientists, along with tech-industry leaders whom Mr. Gray had mentored in the past, offered to help the Coast Guard search the open sea using any technology they could think of. Google executives and others helped provide fresh satellite images of the area. And an official at Amazon used the company's servers to send those satellite images to volunteers—more than 12,000 of them stepped forward—who scanned them for any sign of the lost researcher.
  • But Jim Gray was never found. Some of the techniques that the astronomer learned from the search effort, though, have now been incorporated into a Web site that invites anyone to help categorize images from the Sloan Digital Sky Survey.
  • The number of volunteers surprised the organizers. "The server caught fire a couple of hours after we opened it" in July 2007, he said, burning out from overuse. More than 270,000 people have signed up to classify galaxies so far.
  • Gene Wikis
  • It started under the name of GenMAPP, or Gene Map Annotator and Pathway Profiler. Participation rates were low at first because researchers had little incentive to format their findings and add them to the project. Tenure decisions are made by the number of articles published, not the amount of helpful material placed online. "The academic system is not set up to reward the sharing of the most usable aspects of the data," said Alexander Pico, bioinformatics group leader and software engineer at the Gladstone Institute of Cardiovascular Disease. In 2007, Mr. Pico, a developer for GenMAPP, and his colleagues added an easy-to-edit Wiki to the project (making it less time-consuming to participate) and allowed researchers to mark their gene pathways as private until they had published their findings in academic journals (alleviating concerns that they would be pre-empting their published research). Since then, participation has grown quickly, in part because more researchers—and even some pharmaceutical companies—are realizing that genetic information is truly useful only when aggregated.
Steve King

The Known, the Unknown, and the Unknowable in Financial Risk ... - 0 views

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    I'm not sure I fully understand the KuU distinction.. but there seems to be thread of this stuff in high end risk theory.. leading back to this paper and beyond Gomory, R. (1995), "The Known, the Unknown and the Unknowable," Scientific American, June.
Steve King

Google GRant - Plugin system and machine-tags for Shapado KEP - 0 views

shared by Steve King on 27 Apr 10 - Cached
  • The Encyclopedia of Life wants to use Shapado, a FOSS project, as a Q&A system for its database of species. Many of the customizations needed are not of general interest so, to avoid feature creep, this GSoC project intends to create a plugin system for Shapado to allow creation and sharing of features while keeping a clean and solid core. It also intends to implement machine tags as a first plugin, making the EOL-Shapado integration more immediately possible.
dhtobey Tobey

cloudHQ for SugarSync - Basecamp, SugarSync and Google Docs - 0 views

    • dhtobey Tobey
       
      This is an interesting example of an integrated but very limited "social desktop" for cloud-based collaboration. We should start to keep a running list and matrix of this type of service to explain and compare VivoWorks' offerings.
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