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In this article a case study is shared discussing car manufacturing company Volvo and their strategy in organizing their big data in order to improve their company as a whole. By implementing digitized reports in organized topics such as product design and vehicle diagnostics in to their large Teradata system, data can be processed and completed in one minute, rather than the hour it used to take to process a single query. Moreover, the Volvo company now analyzes a number of issues in an integrated and organized way. For instance analysts can predict failure rates of vehicles over time through the monthly stored collected reports of cars that have experienced specific failures. They can also correlate mechanical failures with the specific geographical areas the vehicle is located in. A car in urban Japan will most likely experience different conditions in rural France, and with DRO error codes (diagnostic read out data recorded in each car about performance and mechanical failures) collected through the Teradata system, analysts can figure out how certain mechanical failures connect to different locations. It is with this strategy in organizing digital information that Volvo can create large goals such as creating vehicles no one will be killed or injured in by 2020.

Video series "At the Intersection" focuses on the use of big data by large companies, such as popular car companies. Land Rovers has accomplished many awards within only one year greatly due to the use of digital humanities. The old tactics of constructing a new car would be through physical examples such as clay models. With the use of virtual processing, designers could compare nine to eleven designs and examine specific problems. They invented a high computing ecosystem in order to generate over ten terabytes a day and store all their data. All these decisions was a huge change for their company and as a result they were able to create more options for better results in their products.

The NDIIP (National Digital Information Infrastructure and Preservation) twitter account tweeted a link to a video featuring Kari Kraus giving a speech titled "Phylogenetic Futures: Big Data and Design Fiction" at Big Data & Uncertainty in the Humanities hosted at the University of Kansas. Kraus spoke about the application of digital humanities to phylogenetics, or the study of evolutionary relatedness between various groups of organisms. She presents phylogenetics as a part of the big data segment of digital humanities. Her speech details the applications of phylogenetics in digital humanities through examining cultural materials.

Hyperstudio is a blog written by Digital Humanist at the Massachusetts Institute of Technology. The latest post on the home page seems to be an invite/ad for the Visual Interpretations Conference that was held over two years ago. The purpose of the conference to provide a venue for experts in art and design to collaborate with digital humanist with the goal of the two become dependent on the other. This visualizations should allow for a different view and possibly promote questions and thoughts that were not previously discussed.

Dan Cohen's transcript of his anonymous speech at Harvard on March 1, 2011 provides insight into the demands scholars have digitization efforts and digital archives. Cohen identifies five major demands on the part of scholars: reliable metadata, the ability to experience serendipity, an interface to handle differing modes of research, a representation of the physical book, and open APIs to accommodate the demands digital libraries cannot anticipate. Dan Cohen's goal is to borrow the best aspects of a physical library - the ability to stumble upon new material readily as well as some measure of its tactile feel - with the ease of use of a well designed digital archive.