: speaking :
The Stanford Alumni Club of Shanghai presents

Andreas Weigend:
A Dinner with Data

Saturday, August 4, 2012, 18:30 – 21:00
Shanghai Marriott, 99 Jiangbin Road, Luwan
Today, we all are witnesses to an irreversible culture shift: the Social Data Revolution. Individuals around the world now freely create and share data about who they are, where they are, what they buy, what they think, and how they feel.
Not only is this ongoing revolution changing how we make decisions, and how we view ourselves and our friends, it is also creating unprecedented business opportunities.

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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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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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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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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 »

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Posted on 14-07-2009
Filed Under (audio, sdr, speaking) by aweigend

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 »

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Posted on 25-03-2009
Filed Under (clients, speaking, video) by aweigend

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.

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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 01-06-2008
Filed Under (audio, speaking) by aweigend

In honor of the (approximate) 10th anniversary of the Cluetrain Manifesto, The Conversation Group organized a day of speeches and breakout sessions. They invited me to present my thoughts on Conversational Data

I also uploaded the (unedited) audience feedback about my talk, and offer the mp3 of the 10-minute conversation with Doc Searls on the 10th anniversary of the Cluetrain Manifesto.

Enjoy!

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Posted on 10-04-2008
Filed Under (audio, speaking) by aweigend

WeigendSAP SAP SALON on The Social Data Revolution: Who pays whom? audio 

ANDREAS WEIGEND SPEAKS AT SAP
Wednesday, April 16, 2008
3:30pm Networking Mixer (refreshments will be provided)
4:00pm – 6:00pm Presentation and Discussion
Building D, Southern Cross Room
SAP Labs, 3410 Hillview Avenue, Palo Alto, CA 94304

The production, aggregation, distribution, and consumption of data is changing dramatically. Traditionally, paid specialists actively collected data for a specific purpose. Now, we are flooded with data streams of intention, attention, situation, and location of individuals, plus data about personal relationships. In addition to these implicit traces of behavior, people contribute data explicitly on platforms for mapping, housing, automotive, and salary data.

The money is where data influence decisions. Most firms believe in internal transparency, basing decisions on data they collect. Few understand how they can benefit by extending this transparency to the outside. What data should the firm share with its customers so some of them can actually help the firm? A sound data strategy has become central to most firms.

Barriers to data business used to be high, including expensive infrastructure and complex business relationships. Infrastructure has now been commoditized; information asymmetries are being reduced by those companies that understand the new consumer data revolution. Relevant questions in today’s marketplace include: How can we set up a system (including incentives) so that people actually do contribute useful and truthful data? What properties does the market need to have so that collective intelligence emerges? What value can the firm create for the contributors to drive participation? It is their perception of this value that will decide whether they demand to be paid for their contributions, or whether they are willing to pay themselves? Finally, what should be the currency of the payments: money, attention, or even more data?

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