Richard Hamming Quotes

Data is a tool for enhancing intuition.

Computations are everywhere, once you begin to look at things in a certain way.

Analytics is not about sitting behind a computer and pushing enter and having it produce an answer.

Men and machines are good at different things. People form plans and make decisions in complicated situations. We are less good at making sense of enormous amounts of data. Computers are exactly the opposite: they excel at efficient data processing but struggle to make basic judgments that would be simple for any human.

People are good at intuition, living our lives. What are computers good at? Memory.

I don't think there's anything unique about human intelligence.

There will always be plenty of things to compute in the detailed affairs of millions of people doing complicated things.

Data is going to be dynamic... and, combined with the performance of computing that allows for artificial intelligence to be applied, is going to bring all kinds of insights and additives to enhance everyday life.

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.

Machine learning is the science of getting computers to learn without being explicitly programmed.

Watson augments human decision-making because it isn't governed by human boundaries. It draws together all this information and forms hypotheses, millions of them, and then tests them with all the data it can find. It learns over time what data is reliable, and that's part of its learning process.

The power of Ayasdi is its unique ability to automatically discover insights - regardless of complexity - without asking questions.

A lot of people seem to think that data science is just a process of adding up a bunch of data and looking at the results, but that's actually not at all what the process is.

Ayasdi's customers can finally learn the answers to questions that they didn't know to ask in the first place.

To learn something from your data, the forming of a hypothesis lies with the human being, which turns into a query, which becomes a result. The problem is that there are too many queries to make, too many questions to ask.

It takes these very simple-minded instructions - 'Go fetch a number, add it to this number, put the result there, perceive if it's greater than this other number' - but executes them at a rate of, let's say, 1,000,000 per second. At 1,000,000 per second, the results appear to be magic.

The computing world is very good at things that we are not. It is very good at memory.

Interactive computers and software will, I think, provide a less costly method of doing some kinds of inquiry, in knowledge acquisition and even reasoning and interaction.

Every part of your business will change based on what I consider predictive analytics of the future.

Most executives, many scientists, and almost all business school graduates believe that if you analyze data, this will give you new ideas. Unfortunately, this belief is totally wrong. The mind can only see what it is prepared to see.

The world that our children living in is going to be completely different because of big data.

Facebook is at the forefront. It's the company that can fundamentally change the way information is being exchanged and processed. It can be the basis for artificial intelligence to develop over time.

Knowledge created a new culture of business derived from the information gathering and analysis capabilities of first the mainframe and then the PC.

If you want to solve very complex problems, you will have to end up letting machines work out a lot of the details for themselves, and in ways that we don't understand what they are doing.

All physical systems can be thought of as registering and processing information, and how one wishes to define computation will determine your view of what computation consists of.