: expertise :
Posted on 14-01-2012
Filed Under (events, expertise, sdr, speaking) by aweigend

Here are the Eight Rules discussed in the Master Classes on “Big Data, Smart Metrics and Customer Centricity” in Shanghai, Singapore, London, and at Stanford in January 2012:

  1. Collect everything
  2. Give data to get data (reciprocity)
  3. Start with the problem, not with the data
  4. Focus on metrics that matter to your customers (customer-centric metrics)
  5. Drop irrelevant constraints
  6. Embrace transparency (no data husbandry)
  7. Make it trivially easy for people to connect, contribute, and collaborate
  8. Let people do what people are good at, and computers do what computers are good at
And remember: Thou shalt not blame technology for barriers of institutions and society

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Posted on 04-06-2011
Filed Under (expertise, featured, sdr) by aweigend

By The Social Data Lab (socialdatalab.stanford.edu)

In today’s increasingly digitized world, we are creating data in unprecedented ways. Ubiquitous and conspicuous social and mobile connections have empowered social consumers to broadcast their locations, opinions, thoughts and emotions to the world in real-time with nothing more than a few clicks, many times a day, on multiple platforms.

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Hi there, here is the 20-minute audio of the keynote on “The State of the Social Data Revolution” at the 2011 Predictive Analytics World in San Francisco.
Would love to get your comments. Thanks!

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Posted on 16-07-2010
Filed Under (expertise, featured, press) by aweigend

Shanghai, China. Quite early, 3:30am local time. (Or maybe very late? Actually just only barely back to my condo from a relaxing foot massage.) My US mobile rings. Austin Carr calling  from New York. Austin Carr? Sounds like a superposition of two friends, Austin Ku who took me to see CHINGLISH by David Henry Hwang in New York last month, and Jeremy Carr, my Stanford TA who kept the class in shape last quarter. But we right away started having a fascinating conversation… which made it into Fast Company very fast (and served as starting point for a great article Are these Nobodies the New Somebodies? with the London-based Evening Standard)! Here you go:

Amazon’s Former Chief Scientist on Influence, Twitter’s Fake Audience, and iPad Sex Appeal

by AUSTIN CARR Wed Jul 14, 2010

Andreas Weigend knows how to influence people. As the former chief scientist at Amazon, Weigend helped implement a series of ingenious tools to help customers “make better decisions,” from recommended purchases and one-click checkouts, to wish lists and book-interest sharing. With our recent launch of the Influence Project, we spoke with Weigend about what “influence” means on the Web. Weigend, a professor at Stanford, approached the subject philosophically, picking apart the complicated concept of influence by each attribute and nuance. Read the rest of this entry »

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Hello, you can do four things with the speech I gave at the 2010 World Innovation Forum in New York:

1. Play or download the mp3 of the speech,

2. Leave your comments on the slides and see the annotations of others,

3. Leave your comments on the transcript and see the annotations of others, and

It was exciting to be part of the World Innovation Forum, an event packed with insights and a turnout of more than 800 thought leaders and a fantastic line-up of speakers. I had great company on stage, speaking between Chip Heath (who I went to grad school with) and Biz Stone (who co-founded Twitter).

I have put up the audio of my talk [mp3, 35 min, 32MB], the transcript [pdf | docx], and the slides [pdf | pptx]. And in terms of press commentary, check out what The Huffington Post, FastCompany, HSM, OnInnovation, and Steve Todd write about it, and please add your own thoughts via the comment box at the bottom of this post.

I am fortunate to present the insights on WIF2010 and the Social Data Revolution by two guest writers: Noah Burbank, a student in Stanford’s Social Data Revolution class this Spring, and Ted Shelton, the CEO of Open-First. And, as always, please do tell us what you think by leaving a comment below. Thanks!

WTF is WIF??

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Posted on 09-05-2010
Filed Under (expertise, featured) by aweigend

by Adrian Chan and Andreas Weigend

This post has been translated into German (GDI Impuls 2/2010),
Spanish, and Chinese (simplified).

The social data revolution

We live in an age in which social data has become the air we live and breathe. As individuals, our actions, preferences, habits, and even friendships, leave behind a wake of data. Not only data about us, but data that captures our communication and connections. Even our conversations are now data. Conversations that can be captured, stored, and re-distributed as data. Data that connects to us, and is shared with companies and brands with whom we have relationships. Like it or not, the social data revolution is the new business environment. Smart analysis of this social data demands a new mindset.

Business in this new environment has already been profoundly affected by the new datascape. Adaptation is an imperative. But for those who will do more than survive and actually thrive in this environment, the question is not one of adaptation. It is a matter of how best to respond to the world of social data,  how to metabolize it, and incorporate it as if it belonged to the very company DNA. Read the rest of this entry »

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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 »

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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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Posted on 24-01-2008
Filed Under (expertise) by aweigend

Join me at SXSW, where I will be having a session to explore the next generation of metrics for engagement together with the audience.

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Posted on 24-01-2008
Filed Under (expertise) by aweigend

Data is a hot business. The recent acquisitions of NAVTEQ and Tele Atlas highlight that fact. “Data? is typically produced by specialized groups of people, producing data that is used for specific and explicit purposes. Web 2.0 has also brought about 2 major trends here – the first is the concept of peer production, where groups of seemingly unrelated people conscientiously come together to collaborate on producing specific data, with Wikipedia being the prime example.

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