SXSW 2011: Data as Web 3.0
Posted in Conference, SXSW on March 15th, 2011 by Nicholas Nelson – Be the first to commentPresented By
Reid Hoffman
Partner at Greylock Partners
Introduction
Web 1.0 was a very low bandwidth environment. We went out and searched for files. HTML, PDF, Flash, etc. We went into cyberspace not as ourselves, but a different person
Web 2.0 mixes our real life and the web. Our presence online is our real personality. The apps are used to help us facilitate our real life connections. Blogging, social networks, mobiel, etc.
What is web 3.0?
What people have said
- Bandwidth
- Mobile
- Video
- Location
We are generating massive amounts of data with all of our activities online. What we should be looking at for the future, for web 3.0, is what we are going to be doing with all of this data.
Challenges
- Privacy
- What are corporations doing with this data?
- What are governments doing with this data?
- Truth vs. Lies
- With all the data being generated, how do we know what is the truth anymore?
- Many people will stop basing decisions on their own thoughts, but data provided
The Data
Rule 1: Never ambush your users. Ensure that you a trustworthy with your data collecting from the data.
Rule 2: Not all data are created equal. Identifying information is more important to protect.
What can we do with the data
Mashing up data from our website with other websites to make it easier to navigate the data to find useful information. Example: taking “tag” data on LinkedIn and comparing that with skills on Wikipedia to find marketable skills to add to profiles. Mint.com mashes up our financial data with data from other users and helps you make decision on your spending by comparing it to others. Also, they look at what a lot of people are spending money on and try to bring in offers to help people save money.
Creating Web 3.0
10 rules of entrepreneurship
- Disruptive change: when you start something, think “is this new and game-changing?”
- Aim big: is it going to affect the whole industry?
- Build a network: networks enable us to have a distributed intelligence store.
- Plan for good and bad luck.
- Maintain flexible persistance
- Launch early enough that you are embarrassed by lack of features
- Always keep your aspirations and aim high, but don’t drink your own kool-aid
- Having a great product is important, but it’s more important to have a great method of product distribution
- Pay attention to the culture of your hires from the beginning. They will be hiring the next group of people.
- These rules are not laws of nature. You can break them.