RSS Feed
Twitter
Our weekend edition of the “Top 20 … plus more” … a snapshot of some interesting e-discovery blog/web site posts, vendor news/views on a wide range of electronic discovery related issues, and other tech developments from the past week. It is compiled by e-discovery/social media professional Rob Robinson who is Vice President of Marketing for Orange Legal Technologies, a company that is a long-time member and sponsor of The Posse List and The Electronic Discovery Reading Room.
Archive for the ‘Big Data’ Category
November 16th weekend “Top 20 + more” e-discovery compendium > Spotlight: How Big Data, cloud computing, Amazon and poll quants won the U.S. election
November 16th, 2012 
posselist 
Posted in Analytics, Big Data, Weekly "Top 20 ... plus more" E-Discovery Articles 
Tags: Amazon RDS, Amazon Web Services, Andrew Beaujon, app servers, Ars Techina, auxiliary analyses, AWS, Bayesian prediction (the branch of logic, Big Data, Big Orca, Daniel Honan, data analysis, data scientists, Databases, discovery, Drew Linzer, DynamoDB, e-discovery, EBS Provisioned IOPS, EC2, EC2 Cluster Compute, ediscovery, Elastic Load Balancing, Elastic MapReduce, ElastiCache, EMC, ESI, Georgetown University Law School summit "Law Firm Evolution: Brave New World or Business as Usual?", Greenplum, Harper Reed, Huffington Post, IDC, JP Schneider, LA Times, LegalTech 2012, Leo Zhadanovsky, Leveldb, load balancer, Miles Ward, model checking, modeling, narwhals, Nate Silver, neuroinformatics, neuroscientist, Obama, Orange Legal Technologies, predictive coding, probabilities, RDS, Reena SenGupta of RSG, Rob Robinson, Romney, Route 53, sabermetric analysis, Sam Wang, SES, SNS, SQS, statistical analysis, statistics, Technology Assisted Review, Technology Assisted Review (TAR), The Ediscovery Reading Room, The OneO® Discovery Platform from Orange Legal Technologies, The Posse List, The Signal and the Noise: Why So Many Predictions Fail-but Some Don’t, validation, Vertica, Virtualization, visualization, VPC, Weekly "Top 20 ... plus more", Who won the election? Big Data and the poll quants, Wired Magazine, “Big Data and the US Presidential Campaign” 
No Comments »The Data Vampire Diaries: Data Value
August 6th, 2012 posselist 
6 August 2012 - There are many barometers for value: the Kelly Blue Book for cars, the discounted cash flow method for stocks, and the currency exchange for money. For data however, conducting a valuation can be much more complex and there is no one method. For example, a single smoking gun email in litigation could be incriminatory or exculpatory in “bet the company” litigation. Organizations, particularly in retrospect, would value this email as priceless. However, in periods…
3 Big Data Challenges: Expert Advice
October 18th, 2011 posselist 
18 October 2011 – You don’t need petabytes of information to play in the big data league. The low end of the threshold is more like 10 TB, and, in fact, “big” doesn’t really tell the whole story. The many types of data and the speed at which data changes are, along with sheer volume, daunting challenges for businesses struggling to make sense of it all. Volume, variety, velocity–they’re the hallmarks of the big data era we’re…