Profile of Seth Grimes
News & Commentary Posts: 213
Seth Grimes is an analytics strategy consultant with Alta Plana and organizes the Sentiment Analysis Symposium. Follow him on Twitter at @sethgrimes
Articles by Seth Grimes
posted in January 2008
I'm a fan of network visualizations, by which I mean display of interconnectedness mined from disparate sources. The subject matter could be just about anything: witness the collection of projects at Manuel Lima's VisualComplexity site. Social networks inferred from on-line media prove particularly interesting, the sort of stuff you'll find in static form at Jeffrey Heer's and Danah Boyd's vizster site and dynamically in Linkinfluence's Map of the Political Blogosphere, which I wrote about las
Prof. David Farber has issued an interesting challenge: "Endlessly people talk about the Next Generation Internet... I need a name for the Internet-like network we will need when we are faced with end to end optical communications at hundreds of gigabits; multi-core computers (large number) and other now-research technologies." While we shouldn't confuse names with substance,... we understand the power of names to describe and even to inspire, including in the IT world.
The best analysis of the motivations and implications of Microsoft's bid for Fast Search & Transfer (FAST) is Stephen Arnold's, yet his in-depth look, along with the rest of the reporting I've read, has nothing to say about some of the most interesting technology that Microsoft will acquire: a fresh approach to data warehousing, a search-integrated BI dashboard, and an ad-delivery platform, that last being where the real search money is to be made.
ParAccel has won well-deserved attention in recent months, including Intelligent Enterprise recognition as a Company to Watch. There's irony, however, in their market positioning. It's not that column stores, most notably SybaseIQ, have been around for decades. It's that ParAccel chose to explain their product with an application, analysis of U.S. Census data, that is essentially owned by a competing column-store system, SuperSTAR from Space-Time Research.
The $1,000,000 Netflix Prize competition has produced interesting results, even if no winner, 15 months in. Some of those results are a bit surprising; others we should have expected but didn't anticipate. So while participants haven't yet bettered the accuracy of Netflix' Cinematch recommendation algorithm by 10%, the threshold to win the $1 million prize, we can still take away lessons about predictive-analytics fundamentals.