data analysis

The headline in today's FT says "Rift grows between old and young - Chancellor continues to shelter older people from austerity measures."

What follows is a pathetic attempt to construct an argument to justify the headline claim. It is worth marketers understanding the technique the FT attempts to employ. When done well it can be very effective - when done like this it is beyond contempt.

Standard & Poor’s is one of three major American rating agencies (Fitch Ratings and Moody’s Investor Services are the others). They’re in the business of assessing risk of various financial instruments and the reliability of the companies and governments that issue or trade them, and their ratings affect both investor interest and the prices paid for said financial paper.

The potential that lies at the intersection of computer science and neuroscience is outlined in a new, quite literally mind-blowing book, The Two-Second Advantage: How We Succeed by Anticipating the Future—Just Enough by Vivek Ranadivé and Kevin Maney. It’s my pleasure to introduce this work to you in this the first post of the book’s Post2Post Virtual Book Tour.*

The era of “Big Data” has begun. Computer scientists, physicists, economists, mathematicians, political scientists, bio-informaticists, sociologists, and many others are clamoring for access to the massive quantities of information produced by and about people, things, and their interactions.

London Fashion Week finished this past week (strangely, I wasn't invited) so with my sometime obsession around interesting applications of data streams, it's timely to think about what the collision of two such polar opposite worlds as fashion and data might look like. Fortunately there's already some interesting examples.