Top 1200 Gathering Data Quotes & Sayings - Page 2

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

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.

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

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

Knowledge about limitations of your data collection process affects what inferences you can draw from the data.

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

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.

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

It amazes me how people are often more willing to act based on little or no data than to use data that is a challenge to assemble.

The Europeans have lots of data on the use of adjuvanted flu vaccine in the elderly, but I dont 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.

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

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.

We should always be suspicious when machine-learning systems are described as free from bias if it's been trained on human-generated data. Our biases are built into that training data.

Data, data everywhere, but not a thought to think.

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

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.

While many big-data providers do their best to de-identify individuals from human-subject data sets, the risk of re-identification is very real.

There are corporate private investigators, companies doing very forensic background checks on people. They buy data, they get their own data... They don't want their industry publicised.

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

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.

Uncontrolled access to data, with no audit trail of activity and no oversight would be going too far. This applies to both commercial and government use of data about people.

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

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

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

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

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

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

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.

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.

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

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

More data beats clever algorithms, but better data beats more data.

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

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

Here is a guiding principle: If a business collects data on consumers electronically, it should provide them with a version of that data that is easy to download and export to another Web site.

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

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

Data isn't information. ... Information, unlike data, is useful. While there's a gulf between data and information, there's a wide ocean between information and knowledge. What turns the gears in our brains isn't information, but ideas, inventions, and inspiration. Knowledge-not information-implies understanding. And beyond knowledge lies what we should be seeking: wisdom.

Wallace's sales agent, back in London, heard mutterings from some naturalists that young Mr. Wallace ought to quit theorizing and stick to gathering facts. Besides expressing their condescension toward him in particular, that criticism also reflected a common attitude that fact-gathering, not theory, was the proper business of all naturalists.

Data and data sets are not objective; they are creations of human design. We give numbers their voice, draw inferences from them, and define their meaning through our interpretations.

... negative feelings are not true feelings at all; rather, they are your thoughts about something, based always on the previous experience of yourself and others. You will not find Truth in your past data, only past data that is based on other past data that is based on other past data, and so forth. Forget your "past experience" and look directly at the experience you are having. Right Here, Right Now. There is your Truth.

The computer is here to stay, therefore it must be kept in its proper place as a tool and a slave, or we will become sorcerer's apprentices, with data data everywhere and not a thought to think.

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

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

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

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

As we become so visible in the digital world and leave an endless trail of data behind us, exactly who has our data and what they do with it becomes increasingly important.

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.

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

There are a number of fascinating stories included in 'The Human Face of Big Data' that represent some of the most innovative applications of data that are shaping our future.

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

Data is the fabric of the modern world: just like we walk down pavements, so we trace routes through data, and build knowledge and products out of it.

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.

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.

My study is NOT as a climatologist, but from a completely different perspective in which I am an expert … For decades, as a professional experimental test engineer, I have analyzed experimental data and watched others massage and present data. I became a cynic; My conclusion - 'if someone is aggressively selling a technical product who's merits are dependent on complex experimental data, he is likely lying'. That is true whether the product is an airplane or a Carbon Credit.

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

There is so much information that our ability to focus on any piece of it is interrupted by other information, so that we bathe in information but hardly absorb or analyse it. Data are interrupted by other data before we've thought about the first round, and contemplating three streams of data at once may be a way to think about none of them.