Hilary Mason Quotes

The purpose of computing is insight, not numbers.

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.

Intuition becomes increasingly valuable in the new information society precisely because there is so much data.

The possibilities for creation and insight are endless. We're constantly collecting more data, and it's starting to be very relevant to our lives.

Data helps solve problems.

Managers used to say, 'I have a gut feeling.' Do you know what a gut feeling is for a professional manager? It's a pattern that they recognize. But if your system can recognize that pattern, if it's not just a couple of managers who know that pattern, then the system's gut feeling can tell you which way to go. That's really liberating.

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

In disciplines as disparate as baseball, financial services, trucking and retail, people are realizing the power of data to help make better decisions.

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.

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

There's definitely a huge opportunity for businesses to transform their operations and decision making by using data.

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

If computers remain far worse than us at image recognition, a certain over-confident combination of man and machine can elsewhere take inaccuracy to a whole new level.

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.

So you will see us continue to advance the state of the art or take information that we have in our response data bases and have that drive automation or an automated response by some of our products.

We're rapidly entering a world where everything can be monitored and measured. But the big problem is going to be the ability of humans to use, analyze and make sense of the data.

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

Social media has given companies access to unprecedented amounts of information on client behavior and preferences - so-called Big Data. But making sense of it all and turning it into actionable policy has been elusive.

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.

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.

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

The most valuable thing you can have as a leader is clear data.

Once upon a time, if you were going to get a loan from me, I would have had to look at your file, and I would have to make a decision about whether youre going to get a loan. Maybe we would meet and talk about it. There would be some level of human involvement and human interaction. Now, a lot of this is determined by an algorithm.

I learned analytics. It's a point of reference, of information. It has to be a factor in decision making.

I'm an analytics girl.