[from julienorvaisas] This Tech Bubble Is Different [BusinessWeek] – [Mathematicians are behind the ad-driven business-models defined in this article as the next bubble. They're tremendously successful in predicting behavior; a fact I find both intriguing and terrifying.] On Wall Street, math geeks are known as quants. They're the ones who create sophisticated trading algorithms that can ingest vast amounts of market data and then form buy and sell decisions in milliseconds. Hammerbacher was a quant. After about 10 months, he got back in touch with Zuckerberg, who offered him the Facebook job. That's when Hammerbacher redirected his quant proclivities toward consumer technology. He became, as it were, a Want. At social networking companies, Wants may sit among the computer scientists and engineers, but theirs is the central mission: to poke around in data, hunt for trends, figure out formulas that will put the right ad in front of the right person. "The most coveted employee in Silicon Valley today is not a software engineer. It is a mathematician."
[from steve_portigal] Steve Portigal – You’ve Done All This Research… Now What? [UIE Podcast] – [A 24-minute podcast for your listening pleasure and edification] Conducting research and gathering data are crucial parts in the process of creating great design. But once you have all of the data, what do you do with it? How do you know you’re extracting the right conclusions and not leaving anything important on the table? Steve Portigal of Portigal Consulting uses the methods of synthesis and ideation to approach this crucial next step. During his virtual seminar, Steve explains that synthesis is the process of turning field data into insights and then how you move to ideation to turn insights into solutions. So many questions came up during the seminar that Steve ran out of time to answer them all. He tackles the remaining questions in this podcast.