Quotes About Big data

Just as divine authority was legitimised by religious mythologies and human authority was legitimised by humanist ideologies, so high-tech gurus and Silicon Valley prophets are creating a new universal narrative that legitimises the authority of algorithms and Big Data.

I sit on the board of Cloudera, a big vantage point of big data.

It is too easy for the sheer mass of big data to overwhelm the sorts of healthy skepticism that is required to defeat deception. And now, with so much of our lives being tied up with giant electronic memory systems, it is almost trivial for terabytes of data to accumulate on almost any topic.

From these perspectives, the discussion in this book gives historical context to current debates over big data. Nick Couldry summarizes big data as "a general project of social re-construction (and, in a sense, reductionism) . . . driven by huge corporate and governmental resources, and focussed on the re-gearing of social order so as to better serve capital's drive to generate economic value from data.

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.

Big Data will spell the death of customer segmentation and force the marketer to understand each customer as an individual within eighteen months, or risk being left in the dust.

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?

the real problem is that numerical correlations say nothing of people's real needs, of their desires, and of the reasons for their activities. As a result, these numerical data can give a false impression of people. But the use of big data and market analytics is seductive: no travel, little expense, and huge numbers, sexy charts, and impressive statistics, all very persuasive to the executive team trying to decide which new products to develop.

In this same vein, tomorrow's unusual, unconventional, and unthinkable companies will be created from sensor technology, big data, cloud computing, artificial intelligence, 5G networks, synthetic biology, genomics, 3D printing, and robotics.

Teniendo en cuenta que el equipo directivo no sabe qué hacer con el Big Data, todo el mundo está a la búsqueda del pos-Big Data, y la respuesta son los pequeños datos».

When human judgment and big data intersect there are some funny things that happen.