A Quote by Om Malik
A lot of what people are calling 'artificial intelligence' is really data analytics - in other words, business as usual. If the hype leaves you asking 'What is A.I., really?,' don't worry, you're not alone.
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I think whatever nation or whoever develops one artificial intelligence will probably make it so that artificial intelligence always stays ahead of any other developing artificial intelligence at any other point in time. It might even do things like send viruses to a second artificial intelligence, just so it can wipe it out, to protect its grounds. It's gonna be very similar to national politics.
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.
I think that the artificial-intelligence people are making a lot of noise recently, claiming that artificial intelligence is making huge progress and we're going to be outstripped by the machines. But, in my view, this whole field is based on a misconception. I think the brain is analog, whereas the machines are digital. They really are different. So I think that what the machines can do, of course, is wonderful, but it's not the same as what the brain can do.
Business analytics or predictive modelling is a $100 billion industry, and $41 billion is spent on outsourced business analytics every year. I think that's about twice the size of the movie industry - it's really big.
I think that the artificial-intelligence people are making a lot of noise recently, claiming that artificial intelligence is making huge progress and we're going to be outstripped by the machines.
Forget artificial intelligence - in the brave new world of big data, it's artificial idiocy we should be looking out for.
Some people call this artificial intelligence, but the reality is this technology will enhance us. So instead of artificial intelligence, I think we'll augment our intelligence.
Silicon Valley has a lot of noise, a lot of hype. People are very excited about all of the Facebook stuff, Facebook applications. It's just been a huge hype over the last year when actually... there isn't really that much value.
The chances of human beings being the only intelligent form of life in the universe are so minuscule that it's really kind of crazy to actually - no scientist could ever argue that we would be alone. It's much more likely that there are hundreds of thousands of other intelligences and other life forms out there in the universe just based on a strictly mathematical formula. And what that means is that artificial intelligence has probably already occurred in the universe.
Let the jerks of the world serve as the perfect example of what you don't want to be. You'll be a heck of a lot happier, and in the long run, there's a chance that other person at work will end up asking what your secret is. Why are you the happy one? In other words, don't let your thoughts think you. Besides, if you're really gonna get pissed, don't waste it on your family, friends, or coworkers, save it for something that really matters.
Artificial intelligence cannot solve the problem of not knowing what the hell you're doing and not really caring one way or the other. It's not a solution for shortsightedness and lack of transparency.
I have found that the reason a lot of people are interested in artificial intelligence is the same reason a lot of people are interested in artificial limbs: they are missing one.
Machine learning and artificial intelligence applications are proving to be especially useful in the ocean, where there is both so much data - big surfaces, deep depths - and not enough data - it is too expensive and not necessarily useful to collect samples of any kind from all over.
Nobody phrases it this way, but I think that artificial intelligence is almost a humanities discipline. It's really an attempt to understand human intelligence and human cognition.
My mom taught me a lot. A lot about minding your own business and leaving other people's business alone. And let them think what they want.
I was radicalised by being a minister. That's when I saw how the system really worked. And that is not a very usual process, but it certainly happened to me: it gave me a lot more experience, it helped me to understand where power really lay, develop strategies for undermining or changing it, and so on. But that isn't the norm. Mr Gladstone moved to the left as he got older, and one or two other people have, but normally you swing the other way.
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