A Quote by Marc Benioff
The whole concept of data science is that the software becomes the expert, and you, as the average user, are able to understand what's going on.
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I have absolutely no idea about space exploration. I'm a software guy. But because I'm a non-expert, I've been able to bring the software concept of modularity into the space sector, which was never done before.
For the average home-user, anti-virus software is a must.
I'm not of the opinion that all software will be open source software. There is certain software that fits a niche that is only useful to a particular company or person: for example, the software immediately behind a web site's user interface. But the vast majority of software is actually pretty generic.
Software suppliers are trying to make their software packages more 'user-friendly'... Their best approach so far has been to take all the old brochures and stamp the words 'user-friendly' on the cover.
The iPhone was the first phone that brought what we used to think of as 'desktop quality' software to a handheld platform: software where you just say, 'Wow, that's a great user experience,' not merely, 'Wow, that's a great user experience for a handheld.'
In a user lead model, users are bringing in their own technology... and you can build software then, around the user.
As the commercial confrontation between [free software] and software-that's-a-product becomes more fierce, patent law's going to be the terrain on which a big piece of the war's going to be fought. Waterloo is here somewhere.
This is where the world is going: direct access from anywhere to any type of data, whether it's a small piece of data or a small answer but a long algorithm to create that answer. The user doesn't care about this.
In the next 10 years, data science and software will do more for medicine than all of the biological sciences together.
In science, the whole system builds on people looking at other people's results and building on top of them. In witchcraft, somebody had a small secret and guarded it - but never allowed others to really understand it and build on it. Traditional software is like witchcraft. In history, witchcraft just died out. The same will happen in software. When problems get serious enough, you can't have one person or one company guarding their secrets. You have to have everybody share in the knowledge.
I'm going to say something rather controversial. Big data, as people understand it today, is just a bigger version of small data. Fundamentally, what we're doing with data has not changed; there's just more of it.
Mobile forced us to rethink the user experience and do something people would be able to carry out on in a couple of seconds on the mobile phone. By stripping out all the work the user used to do and putting that on the company, we were able to create a much better user experience.
Trying to read our DNA is like trying to understand software code - with only 90% of the code riddled with errors. It's very difficult in that case to understand and predict what that software code is going to do.
If anything, there's a reverse Moore's Law observable in software: As processors become faster and memory becomes cheaper, software becomes correspondingly slower and more bloated, using up all available resources.
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.
Facebook collects a lot of data from people and admits it. And it also collects data which isn't admitted. And Google does too. As for Microsoft, I don't know. But I do know that Windows has features that send data about the user.
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