Data Quotes

If you grew up, and you never had a computer, and you've never used the Internet, and someone asked you if you wanted to buy a data plan, your response would be 'What's a data plan, and why would I want to use this?'

We have these services that people love and that are drivers of data usage... and we want to work this out, so that way, it's a profitable model for our partners.

Humans are unbelievably data efficient. You don't have to drive 1 million miles to drive a car, but the way we teach a self-driving car is have it drive a million miles.

You collect as much data as you can, you immerse yourself in that data but then you make the decision with your heart.

The thing I have noticed is when the anecdotes and the data disagree, the anecdotes are usually right. There's something wrong with the way you are measuring it.

If you have a really good idea, stick to it, but be flexible on how you get there. Be stubborn on your vision but flexible on the details... People who are right a lot change their mind... They have the same data set that they had at the beginning, but they wake up, and they re-analyze things all the time, and they come to a new conclusion, and then they change their mind.

Education is basically downloading data and algorithms into your brain.

I am really excited about the possibility of data also, to improve health. Imagine you had the ability to search people's medical records in the US. I imagine that would save 10,000 lives in the first year.

I think the main thing that we need to do is just provide people choice, show them what data's being collected -- search history, location data. We're excited about incognito mode in Chrome, and doing that in more ways, just giving people more choice and more awareness of what's going on.

We must develop open source systems that enhance trust and transparency. We must build quality data centres free from biases, we must democratise technology and create people centre applications. We must address concerns related to cyber security, disinformation and deepfakes. We must also ensure that technology is rooted in local ecosystems for it to be effective and useful. Loss of jobs is AI's most feared disruption, but history has shown that work does not disappear due to technology, only its nature changes. We need to invest in skilling and re-skilling our people for an AI-driven future.

I wonder whether any other generation has seen such astounding revolutions of data and values as those through which we have lived. Scarcely anything material or established which I was brought up to believe was permanent and vital, has lasted. Everything I was sure or taught to be sure was impossible, has happened.

Consider data without prejudice.