A Quote by Bill Gates
Personal computing today is a rich ecosystem encompassing massive PC-based data centers, notebook and Tablet PCs, handheld devices, and smart cell phones. It has expanded from the desktop and the data center to wherever people need it - at their desks, in a meeting, on the road or even in the air.
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Phones and tablet PCs are primarily consumption devices and not typically used for creation of content. It's here that we need PCs.
Tape with LTFS has several advantages over the other external storage devices it would typically be compared to. First, tape has been designed from Day 1 to be an offline device and to sit on a shelf. An LTFS-formatted LTO-6 tape can store 2.5 TB of uncompressed data and almost 6 TB with compression. That means many data centers could fit their entire data set into a small FedEx box. With LTFS the sending and receiving data centers no longer need to be running the same application to access the data on the tape.
GIS is being influenced by and integrating with all kinds of new innovations such as faster computing, big data, the cloud, smart devices, and distributed processing.
The power efficiency of computing has improved by a factor of a billion from the ENIAC computer of the 1950s to today's handheld devices. Fundamental physics indicates that it should be possible to compute even another billion times more efficiently. That would put the power of all of today's present computers in the palm of your hand. That says to me that the age of computing really hasn't even begun yet.
Productivity is grounded in the PC. Where does the computing power come from? How would you run 'USA Today' without PCs? Run a hospital without PCs? People don't want products, they want solutions.
In the developed world, we are surrounded by electronics - from the computers on our desks to the smart phones in our pockets to the thermostats in our homes to our data in the virtual cloud.
As we move into an era in which personal devices are seen as proxies for public needs, we run the risk that already-existing inequities will be further entrenched. Thus, with every big data set, we need to ask which people are excluded. Which places are less visible? What happens if you live in the shadow of big data sets?
[Sovereignty] would break the American monopoly, but it would also break Internet business, because you'd have to have a data center in every country. And data centers are tremendously expensive, a big capital investment.
The first wave of the Internet was really about data transport. And we didn't worry much about how much power we were consuming, how much cooling requirements were needed in the data centers, how big the data center is in terms of real estate. Those were almost afterthoughts.
All devices should just sip power and be charged like a calculator is, with a small solar cell. No power adaptors. It's easy to put a solar cell into a device, but it's not powerful enough to drive today's cell phones or laptops. They need too much power to run.
The biggest mistake is an over-reliance on data. Managers will say if there are no data they can take no action. However, data only exist about the past. By the time data become conclusive, it is too late to take actions based on those conclusions.
To make a vehicle autonomous, you need to gather massive streams of data from loads of sensors and cameras and process that data on the fly so that the car can 'see' what's around it.
There's been a big evolution since the days of personal computing. People had a concept of one computing device per family or maybe per person. We've clearly evolved to computing devices becoming more personal.
The data center side of the world is kind of like a solved problem, but you see interesting things happening on the edge with things like cell phones and embedded systems that are becoming really fascinating.
Cloud computing, smartphones, social media platforms, and Internet of Things devices have already transformed how we communicate, work, shop, and socialize. These technologies gather unprecedented data streams leading to formidable challenges around privacy, profiling, manipulation, and personal safety.
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.
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