Ray Kurzweil Quotes

If you have a lot of data and you want to create value from that data, one of the things you might consider is building up an AI team.

I like to say I've been working on big data for so long, it used to be small data when I started working on it.

We know now data is so powerful, and you can learn so much about yourself and creating product with data.

It isn't obvious and it took us a while to demonstrate that we could actually design a machine that bends.

Data science requires having that cultural space to experiment and work on things that might fail.

Look at how fast technology is developing.

Technology is growing in all possible ways. It is affecting our lifestyle also.

Once you acknowledge that human brains are basically made of atoms and acknowledge that atoms are governed by simple laws of physics, then there is no reasoning principle why computers couldn't do anything that people are doing, and we don't really see any evidence that this is not the case.

I sit on the board of Cloudera, a big vantage point of big data.

Technology is power.

Technology is a ubiquitous part of our everyday lives, and the accompanying geeky lexicon has infiltrated every facet of our modern day society.

Deep learning is a subfield of machine learning, which is a vibrant research area in artificial intelligence, or AI.

I see a bright future for the future of computing and its implications for games.

You need to use data science and machine learning to get the ground truth of what's happening inside of a company.

For me, the most exciting aspect of my success is how the insights that Ayasdi's technology has found in data can truly impact people's lives.

Data drives success. That is how we began our success with eSpeed. It was always based on the data.

My dream is to achieve AI for the common good.

I did not grow up around computers, so technology was not a tool used every day in my household. I was drawn to computer science due to the creative nature of programming and the technology focus.

We believe the future of computing should be natural.

Networks love data. They love to be able to look at numbers and try to predict what they think will work.

We are proactively training and upscaling thousands of people in key areas such as cloud, artificial intelligence, and robotics.

If our era is the next Industrial Revolution, as many claim, AI is surely one of its driving forces.

Traditional computing is always going to be a part of AMD's business, but our technology can go further.

The world is looking for big data scientists, and there just aren't enough to go around.

I think it's fair to say that the age of traditional computing is dead.