Frans van Houten Quotes

There's a great deal of suspicion and misunderstanding about IT among practicing doctors. One hears things like, 'I don't want to be turned into a data entry clerk, and I don't want some machine between me and my patients.'

We think machine learning, as it relates to healthcare and life sciences, is extraordinary.

We are going to completely change what it means to do advanced analytics with our data solutions. We have machine-learning stuff that is about really bringing advanced analytics and statistical machine learning into data-science departments everywhere.

Think about when a digital business marries up with what I'll call 'digital intelligence.' It is the dawn of a new era about being a 'cognitive' business. When every product, every service, how you run your company can actually have a piece that learns and thinks as part of it, you will be a cognitive business.

There are a number of fascinating stories included in 'The Human Face of Big Data' that represent some of the most innovative applications of data that are shaping our future.

Health care and education, in my view, are next up for fundamental software-based transformation.

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.

Our ability to do great things with data will make a real difference in every aspect of our lives.

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.

The digitization of human beings will make a parody out of 'doctor knows best.'

We have most of the software industry running Autonomy.

If you want a machine to be able to interact with people, it better not do things that are surprising to people.

So the thing I realized rather gradually - I must say starting about 20 years ago now that we know about computers and things - there's a possibility of a more general basis for rules to describe nature.

Deep-learning will transform every single industry. Healthcare and transportation will be transformed by deep-learning. I want to live in an AI-powered society. When anyone goes to see a doctor, I want AI to help that doctor provide higher quality and lower cost medical service. I want every five-year-old to have a personalised tutor.

You have to imagine a world in which there's this abundance of data, with all of these connected devices generating tons and tons of data. And you're able to reason over the data with new computer science and make your product and service better. What does your business look like then? That's the question every CEO should be asking.

Because Facebook can't exist without AI, it needs all its engineers to build with it.

I just thought making machines intelligent was the coolest thing you could do. I had a summer internship in AI in high school, writing neural networks at National University of Singapore - early versions of deep learning algorithms. I thought it was amazing you could write software that would learn by itself and make predictions.

It seemed really amazing that you could write a few lines of code and have it learn to do interesting things.

Eighty percent of what doctors do, tech can do at a fraction of the cost - especially your rural doctor in India.

By developing deep learning solutions that are faster, easier, and less expensive to use, Nervana is democratizing deep learning and fueling advances in medical diagnostics, image and speech recognition, genomics, agriculture, finance, and eventually across all industries.

The deep learning techniques, while relatively easy to learn, are quite foreign to traditional engineering modalities. It takes a different mindset and a relaxation of the presumption of control. The practitioners are like magi, sequestered from the rest of a typical engineering process.

A new, a vast, and a powerful language is developed for the future use of analysis, in which to wield its truths so that these may become of more speedy and accurate practical application for the purposes of mankind than the means hitherto in our possession have rendered possible.

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.

I came in as an engineer and worked on artificial intelligence at Google. I worked on related sites and matching advertising to queries with some of our earliest ads.

Machine learning allows us to build software solutions that exceed human understanding and shows us how AI can innervate every industry.