Seth Godin Quotes

It's amazing how much data is out there. The question is how do we put it in a form that's usable?

Big data is indeed a buzzword but it is one that is frankly under-hyped.

Data really powers everything that we do.

Get the weirdnesses into the data where you can manipulate them easily, and the regularity into the code because regular code is a lot easier to work with

There's a lot of power in executing data - generating data and executing data.

We’re not used to calculating large amounts of data. Our brains think anecdotally.

Work expands so as to fill the time available for its completion

Human emotion and reaction is the primary block to productivity.

I think we are definitely suffering from an information overload, but I believe that there is going to be better and better ways of organizing that information and processing it so that it will enhance your daily life.

Every company has messy data, and even the best of AI companies are not fully satisfied with their data. If you have data, it is probably a good idea to get an AI team to have a look at it and give feedback. This can develop into a positive feedback loop for both the IT and AI teams in any company.

Everything is changing now that we are in the cloud in terms of sharing our data, understanding our data using new techniques like machine learning.

The numbers are hard to control.

I'm going to say something rather controversial. Big data, as people understand it today, is just a bigger version of small data. Fundamentally, what we're doing with data has not changed; there's just more of it.

I've got a lot of stats. I did a lot of stuff.

I don't think we should have less information in the world. The information age has yielded great advances in medicine, agriculture, transportation and many other fields. But the problem is twofold. One, we are assaulted with more information than any one of us can handle. Two, beyond the overload, too much information often leads to bad decisions.

Data is cost. It takes money to create data, store it, clean it, and throw resources at it to learn anything from it.

Data without generalization is just gossip.

Computer science only indicates the retrospective omnipotence of our technologies. In other words, an infinite capacity to process data (but only data -- i.e. the already given) and in no sense a new vision. With that science, we are entering an era of exhaustivity, which is also an era of exhaustion.

What if instead of seeing a neighborhood that reminds you of the place you grew up in, you see your actual neighborhood? The data exists. The technology exists. It's just a matter of sourcing it and processing it in a compelling fashion.

The first step toward making the worker achieving is to make work productive.

A willing, cheerful worker, with his heart in his job, will turn out more work and more satisfactory work in 44 hours than an unwilling worker, dissatisfied with his conditions, will turn out in 54 hours. It is good business, therefore, for every employer to go as far as he possibly can in reaching a schedule agreeable to his people.

We have now well established the fact in our own nation that one can do more work in six days, even in five, than in seven. A run-down person is an unproductive person.

We think, mistakenly, that success is the result of the amount of time we put in at work, instead of the quality of time we put in.

Data is like garbage. You'd better know what you are going to do with it before you collect it.

The computer, being a mechanical moron, can handle only quantifiable data.