Top 1200 Data Collection Quotes & Sayings - Page 2

Data is the new science. Big Data holds the answers. Are you asking the right questions?

scientists ... resist ... making more of the data than the data make of themselves.

I don't believe in data-driven anything, it's the most stupid phrase. Data should always serve people, people should never serve data.

Most of 'big data' is a fraud because it is really 'dumb data.'

I like to maintain my collection as a provocative collection that makes people think. While certainly my stamp will be visible on Black Fleece, it is meant for a wider audience.

I have some weak poems in that new collection, which is why I'm not ready to send the collection out yet.

Welcome to the information age. Data, data, everywhere, but no one knows a thing.

There's a lot of power in executing data - generating data and executing data.

Data is cost. It takes money to create data, store it, clean it, and throw resources at it to learn anything from it.

Yelp is in a very nice spot: local data, and especially review data, is one of the killer apps on mobile phones.

My answer to someone who is in contrast with me - by not seeing God in the scientific data - is that you don't see God in the scientific data because you're not me. I have other experiences than you have, that bring me to look at this data as enriching my experience of God.

My pictures are not that interesting, nor the subject matter. They are simply a collection of facts; my book is more like a collection of Ready-mades.

We know now data is so powerful, and you can learn so much about yourself and creating product with data.

If we have data, let's look at data. If all we have are opinions, let's go with mine.

Rob Engle and I are concerned with extracting useful implications from economic data, and so the properties of the data are of particular importance.

Every company has messy data, and even the best of AI companies are not fully satisfied with their data. If you have data, it is probably a good idea to get an AI team to have a look at it and give feedback. This can develop into a positive feedback loop for both the IT and AI teams in any company.

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.

Government and businesses cannot function without enormous amounts of data, and many people have to have access to that data.

The banking industry has traditionally been characterized by physical branches, privileged access to financial data, and distinct expertise in analyzing such data.

I realized the structure in a collection is how they're put together. Structuring the collection became the art of it for me. Because the stories had all been written.

Nobody should try to use data unless he has collected data.

I think that's really the beauty of life, like, we're this collection of moments, this collection of experiences that we've had, or little tics that we've stolen from other people, it's like we're this amalgamation of all of that.

I've got a great cigar collection - it's actually not a collection, because that would imply I wasn't going to smoke every last one of 'em.

We get more data about people than any other data company gets about people, about anything - and it's not even close. We're looking at what you know, what you don't know, how you learn best. The big difference between us and other big data companies is that we're not ever marketing your data to a third party for any reason.

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.]

Every collection reflects the ideas andvalues and interests of the individual or group who developed the collection.

Random search for data on ... off-chance is hardly scientific. A questionnaire on 'Intellectual Immoralities' was circulated by a well-known institution. 'Intellectual Immorality No. 4' read: 'Generalizing beyond one's data'. [Wilder Dwight] Bancroft asked whether it would not be more correct to word question no. 4 'Not generalizing beyond one's data.

I will talk about two sets of things. One is how productivity and collaboration are reinventing the nature of work, and how this will be very important for the global economy. And two, data. In other words, the profound impact of digital technology that stems from data and the data feedback loop.

I've just finished my next collection, Possible Side Effects, and I'm now working on a collection of holiday stories as well as a memoir about my relationship with my father.

There is not substantial data that AZT stops the transmission of HIV from mother to child. There is too much conflicting data to make concrete policy.

Design has a powerful impact on the viewer. It has authority, and data also has the same air of authenticity and detail. It can be hard to argue with a graph, and it's hard to argue with data. So to combine data with a strong visual impact creates a powerful message.

We need a basic protection for people having access to their data and knowing where their data is.

If the data do not prove that indexing wins, well, the data are wrong.

Size doesn't matter, fast data is better than big data

I wanted to separate data from programs, because data and instructions are very different.

I have always considered that my collection must have an international flair so it can be at the service of the European public. Or to people in Asia. Yes, there are tiny little alterations I notice in the proportions of the outfits, but fundamentally, the collection is that way.

When I started out as an equity analyst, we had no securitization data. We relied on company data.

There are two sources of error: Either you lack sufficient data, or you fail to take advantage of the data that you have.

EMA research evidences strong and growing interest in leveraging log data across multiple infrastructure planning and operations management use cases. But to fully realize the potential complementary value of unstructured log data, it must be aligned and integrated with structured management data, and manual analysis must be replaced with automated approaches. By combining the RapidEngines capabilities with its existing solution, SevOne will be the first to truly integrate log data into an enterprise-class, carrier-grade performance management system.

I promoted Hyderabad to the world by saying that there was privacy in India and their data will be sage. Data is wealth.

In the blockchain world, each user can and should own their data, and 'central' players are less vulnerable to data losses and breaches.

The Europeans have lots of data on the use of adjuvanted flu vaccine in the elderly, but I don't think anybody has really good data on adjuvants in children.

I believe that it's fine if the university wants to regulate, for example, bandwidth access, but they should treat the students data as private data.

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.

Life is a beautiful collection of temporary experiences. Treasure your unique collection, and enjoy sharing it with others.

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.

I love that the world is data intensive … unfortunately, it's called 'Big Data.'

Teach where data can be found or how it can be derived, not the recording of data.

I'm not a things person. I'm not one to keep much. I do have a small collection of picks from favorite musicians I got to play with, a collection of mementos. I'm kind of the opposite of a hoarder, as I try to get rid of everything.

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.

If you have a lot of data and you want to create value from that data, one of the things you might consider is building up an AI team.

While hard data may inform the intellect, it is largely soft data that generates wisdom.

I will never speculate on data. I always need to see data.

We have way more unsupervised data in the world than supervised data.

Despite the value of open data, most labs make no systematic effort to share data with other scientists.

MapReduce has become the assembly language for big data processing, and SnapReduce employs sophisticated techniques to compile SnapLogic data integration pipelines into this new big data target language. Applying everything we know about the two worlds of integration and Hadoop, we built our technology to directly fit MapReduce, making the process of connectivity and large scale data integration seamless and simple.

We are ... led to a somewhat vague distinction between what we may call "hard" data and "soft" data. This distinction is a matter of degree, and must not be pressed; but if not taken too seriously it may help to make the situation clear. I mean by "hard" data those which resist the solvent influence of critical reflection, and by "soft" data those which, under the operation of this process, become to our minds more or less doubtful.

Outside the U.S., most data plans have a data limit.

What is clear is that users own their data and should have control of how their data is used.

Every day we go over data and use science and data to drive policy and decision-making.