Real-Time Processing Quotes

Essentially, we're always trying to reduce latency. As you try to reduce the latency of the experience, you can only get it down so far before we start running into the limitations of game engines, computing, the intensity of the experience you're trying to compute.

You cannot prevent collisions if the data that can prevent them is still making its way through the network.

The ability to identify someone at a moment's notice by snapping a photo of him or her, to trigger an immediate influx of data about the person behind the face, will forever change the world.

You and I are streaming data engines.

New applications will have to deal with big data. We have to analyze it on the fly, so we have to have a system that is transactional and analytical at the same time. We cannot have a multi-stage system. This is too slow for modern applications.

I can imagine people actually working in virtual environments where productive, cooperative work is undertaken, and I think we will find people helping others to take advantage of masses of information that are inaccessible or too vast to process in real time today.

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.

The ability to create same day straight through processing of mutual fund trades is a matter of will.

When cars have the sensory systems around them, GPS intelligence, they're looking at the world not only in visual spectrum, but infrared, ultraviolet and everything else that's going on and they've got reaction times in microseconds. Not a tenth of a second. They're a hundred thousand times faster.