Listen to the Conversation with Kai Ryssdal (Marketplace) on the Social Data Revolution: Companies get smart on Digital Data. Produced by American Public Media. Broadcast by NPR and Public Radio International on November 18, 200.
And please share what you think… Comment (via Facebook Connect) below!
Transcript (from http://bit.ly/dataNPR)
KAI RYSSDAL: The data trail that we create every day is only growing. Every time we go online, every time we use our cell phones, companies log our preferences. They make suggestions, and they remember what we do. Even though a lot of consumers have gotten used to that, a lot of businesses are still trying to figure out how to use our data to the best effect. One of the first companies to realize the social potential of consumer data was Amazon.com. And Andreas Weigend used to be the chief scientist there. Welcome to the program. Read the rest of this entry »
Saturday, November 14, 2009, 6pm
4150 17th St, Unit 12, SF, CA 94114
Hi there!
Are you an avid reader of weigend.com/blog? If so, I would like to invite you to come to my birthday party: simply “buy” a free ticket at http://apesnap.com/event/aweigend . It only takes a minute to fill in your name and email. The confirmation email you will get has the door code info.
So here is what is planned:
6:00pm | Please plan to arrive between 6 and 7:30 so you can meet some new cool people.
HORS D’OEUVRES
8:00pm | A little icebreaker game to get to know some people.
DINNER PART I
9:30pm | Two short presentations, about the 70’s and 80’s:
• Christoph Franz, bit.ly/cfranz
• Brad Rubenstein, bradrubenstein.com
DINNER PART II
10:30 pm | Two short presentation, about the 90’s and 2000’s:
• Joe Li, facebook.com/jl174
• Peter Hirshberg, theconversationgroup.com/aboutus/
CAKE
11:30pm | A few reflections by me, followed by stories from anyone who wants to contribute.
2:00am | End? Not really! You are most welcome to stay as long as you enjoy it. In past years, increasingly deep and fascinating conversations continued well into the early hours of the morning.
Presents: If you really want to bring something, then champagne or wine for the evening would be good. No other presents please. BUT: if you can dig out a photo of you and me, please email it to pics@weigend.com (with year and occasion as subject, and your name etc in the message body, full resolution is ok, will be up at flickr.com/aweigend2009).
Dress: Smart, fashionable, fresh, not formal or stuffy.
Food: Chef Phillip.
Drinks: Erik Shepherd.
Music: Ly Pham, PKDJ.net.
Help: Daniel Bao, Derick Chung.
Photos: Eisaku Tokuyama. Tags are aweigend09 on flickr, and #aweigend09 on twitter (and if appropriate my twittername @aweigend).
See you November 14 in San Francisco!
How the Social Data Revolution Changes (Almost) Everything
Andreas S. Weigend, Ph.D.
Thursday, 17 September 2009
5:00 pm Lecture, 6:00 pm Reception
NTU (Nanyang Technological University, Singapore)
Lecture Theatre 25 (South Spline 1, B2-1)
Visionary companies are starting to design products and services based on social data – data individuals generate and share about their attention, intention, location, and situation. Read the rest of this entry »
Download the mp3 of the World Marketing Forum keynote (45MB, 50 minutes, Mexico City, July 1, 2009).
Transcript:
Ladies and gentlemen, it is an honor for me to be here and to talk to you about what I think it the most interesting, the most exciting thing I can talk to you about. Read the rest of this entry »
Hi there!
As experiment in social data, we will use ustream today’s class, allowing people from both within the classroom and from the outside to participate in real time and Read the rest of this entry »
In 2009, more data will be generated by individuals than in the entire history of mankind through 2008. Information overload is more serious than ever. What are the implications for marketing?
Check out this article at http://blogs.harvardbusiness.org/now-new-next/2009/05/the-social-data-revolution.html
by Ray Bradford and Andreas Weigend. Ray Bradford, currently a student at Stanford University’s Graduate School of Business, is taking Data Mining and E-Business (Stats 252)
You’re working on that big project when momentum stalls at 9:06 PM and you find yourself on Facebook staring at the news feed. You are confronted by a stream of updates from that melodramatic train wreck of a former high school classmate, whose friend request you accepted out of guilt last week. You couldn’t care less Read the rest of this entry »
On the eve of the launch of Geoffrey Miller’s book “Spent: Sex, Evolution, and Consumer Behavior”, we discuss the key role of openness, the importance of dialogue, and the true reason for advertising. http://weigend.com/files/audio/GeoffreyMillerAndreasWeigend_2009.05.17.mp3
Geoffrey, a tenured professor at the University of New Mexico, combines an evolutionary framework with a data driven mindset to create insights about consumers. Openness, perhaps the least studied of the Big Five personality traits, and inherited to a large degree, is often underestimated. As we reflect on how our time as graduate students in Cognitive Psychology at Stanford has shaped us – Geoffrey worked with Roger Shepard and I with David Rumelhart — we discuss how marketers used to force-communicate customers, and got away with ignoring the deeply social characteristics of humans. Furthermore, Geoffrey explains, the traditional goal of advertising was to demonstrate to a few potential buyers the large symbolic significance of a product for the broad masses. Communication now having primarily become C2C, consumer to consumer, and C2W, consumer to world: what is the impact of the Social Data Revolution on advertising and consumer behavior?
This keynote at the Facebook Developer Garage shares insights from Amazon.com that are relevant for app and game developers. The event was organized on February 25, 2009 by kontagent, a San Francisco startup I am advising.
This keynote, given on February 19, 2009 at Predictive Analytics World shows how predictive models can benefit from the Social Data Revolution [pptx | mp3]
Abstract:Technology affords companies unprecedented opportunities to interact with customers and employees. In any of these interactions, data is created. Yet most firms neither capture nor fully utilize those data to impact their bottom line and strengthen relationships with their customers. Product recommendations and behavioral targeting are early examples of leveraging new sources of data to predict customer behavior and preferences. The next iteration of these interactions, for example mobile phones, empowers owners to access richer data and discover new opportunities – with the possible inclusion of location data that enables companies to predict mobility patterns for marketing and planning purposes. Learn from the former Chief Scientist of Amazon.com how to create a comprehensive data strategy through:
- Leveraging the data you’re already collecting, but not using
- Identifying data that you could and should be collecting
- Transforming data to next-generation predictive intelligence
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