How big data improves – and complicates – predictive analytics

By Andy Flint, FICO

Analytics depends on data — the more, the merrier. If we’re trying to model, say, the behaviour of customers responding to marketing offers or clicking through a website, we can build a far stronger model with 10,000 samples than with 100.

You would think, then, that the rise of Big Data and its seemingly inexhaustible supply of data would be every analyst’s dream. But Big Data poses its own challenges for modelling. Much of Big Data isn’t what we have historically thought of as “data” at all. In fact, 80% of Big Data is raw, unstructured information, such as text, and doesn’t neatly fit into the columns and rows that feed most modelling programs.

Here’s how data scientists seeking to harness Big Data for predictive modelling have addressed the challenges presented by a mass of messy data.

Turning words into numbers …

Cloud Security: Not an Oxymoron

Some businesses today are nervous about moving to cloud-delivered technology because it means allowing their system data to reside somewhere other than their own data center. For some, this can be a tough concept to grasp, especially for those who have spent 25 years or more hosting their company’s systems and data. But cloud computing providers could not exist without implementing strong security controls for their customers’ information. The reality is that leading cloud solutions include security features well beyond what most manufacturing companies can afford to implement on their own.
In this article readers will learn about some realities of the security practices at leading cloud providers and the questions that should be asked by those considering use of a cloud solution.

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Cloud Expo Silicon Valley: Cloud Computing and the Mobile Web

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In his session at the 13th International Cloud Expo, Steve Fox, Director of the Windows Azure Center of Excellence at Microsoft, will show how you can design and build mobile websites on the cloud – emphasizing some of the choices along the way. Specific themes will be responsive Web App design, tooling choices, developing, deploying and scaling your mobile website on Windows Azure, and more.

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SYS-CON.tv: Cloudant Demo at Cloud Expo New York

In this demo at 12th International Cloud Expo, held June 10–13, 2013, at the Javits Center in New York City, Sam Bisbee, Director of Technical Business Development at Cloudant, walks through how Cloudant deploys their clusters.
Cloud Expo 2013 Silicon Valley, November 4–7, at the Santa Clara Convention Center in Santa Clara, CA, will feature technical sessions from a rock star conference faculty and the leading Cloud industry players in the world.
The growth and success of Cloud Computing will be on display at the upcoming Cloud Expo conference and exhibition in Santa Clara, California, November 4–7, 2013.

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Cloud Computing 2013: What’s Next for Enterprises and ISVs

Having made it past the 2013 midpoint, it’s time for technology-driven and/or technology-enabled organizations to evaluate plans and review outcomes so far, look at what has changed in the industry or business landscape; and realign for what the rest of the year has to offer.
Here are some checkpoint trends, observations and tips to help you review and adjust plans for rest of the year. These observations and suggestions are based on field work, intelligence gathered working with customers, partners, prospects and industry leaders.

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What PRISM & NSA Surveillance Mean for Enterprise Data on the Cloud

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The Benefits of Self-Provisioning

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The next edition of the HP Discover Performance Podcast Series explores how wireless services provider T-Mobile US, Inc. improved how it delivers cloud- and data-access services to its enterprise customers.
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Cloud Services Brokerage Lessons from Alex Rodriguez

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Really.
In a general sense, baseball’s trade deadline is a valuable part of its own asset lifecycle.

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