A Quote by Charlie Kimball

While I'm driving, I've got speed, gear, lap time, water temperature, blood sugar, RPM, oil pressure. I've got car data and body data all together. It's all on the dash. — © Charlie Kimball
While I'm driving, I've got speed, gear, lap time, water temperature, blood sugar, RPM, oil pressure. I've got car data and body data all together. It's all on the dash.
We all say data is the next white oil. [Owning the oil field is not as important as owning the refinery because what will make the big money is in refining the oil. Same goes with data, and making sure you extract the real value out of the data.]
I have no doubt that in the future, wearable devices like Fitbit will know my blood pressure, hydration levels and blood sugar levels as well. All of this data has the potential to transform modern medicine and create a whole new era of personalized care.
The constancy of the blood sugar level is maintained by a complex physiological mechanism, a homeostatic mechanism of the same order as those which maintain the body temperature, the blood pressure or the heart rate at normal levels and control many other functions.
On the allegation of withholding temperature data, we find that CRU was not in a position to withhold access to such data or tamper with it.
The data set of proxies of past climate used in Mann...for the estimation of temperature from 1400 to 1980 contains collation errors, unjustifiable truncation or extrapolation of source data, obsolete data, geographical location errors, incorrect calculation of principal components and other quality control defects.
We're in this period where we're getting good data rates. I would say we're getting data rates that are like the data rates we got when we launched RealAudio in 1995.
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.
While I was there, Voyager flew by Saturn. I got involved with a person who was a member of the imaging team and started working on data from Saturn. With all that data coming in, the imaging team didn't have enough hands or scientists to work on all of it.
Any time scientists disagree, it's because we have insufficient data. Then we can agree on what kind of data to get; we get the data; and the data solves the problem. Either I'm right, or you're right, or we're both wrong. And we move on. That kind of conflict resolution does not exist in politics or religion.
But even if you thought they were adequate at the time, when you're collecting data in bulk-you've got it. The data lasts until you delete it; the rules only last until you decide to change them, and change them in secret.
A self-driving car will have 200-plus CPUs. That's a data center on wheels.
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.
I was interested in data mining, which means analyzing large amounts of data, discovering patterns and trends. At the same time, Larry started downloading the Web, which turns out to be the most interesting data you can possibly mine.
One of the myths about the Internet of Things is that companies have all the data they need, but their real challenge is making sense of it. In reality, the cost of collecting some kinds of data remains too high, the quality of the data isn't always good enough, and it remains difficult to integrate multiple data sources.
While hard data may inform the intellect, it is largely soft data that generates wisdom.
A data scientist is that unique blend of skills that can both unlock the insights of data and tell a fantastic story via the data.
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