«The rest of your life is optimized
because of Big Data,» Wojcicki told New York Magazine back in April.
Not exact matches
Vulnerable business owners are those who think that their
data is
of no interest to would - be intruders
because only attacks on
big companies make the headlines.
Big Data means different things to different people, but Farrell defines it as what happens when the information gathered by a company becomes too big to manage, either because of its volume, variety or complexi
Big Data means different things to different people, but Farrell defines it as what happens when the information gathered by a company becomes too
big to manage, either because of its volume, variety or complexi
big to manage, either
because of its volume, variety or complexity.
In our world
of trying to make everything
bigger and faster, the challenge for companies ranging from SAP to Google (GOOGL) has been how to get more information into the DRAM,
because if you want real - time
data processing (for example, the Internet
of things or for business transactions) you want jobs performed right next to the computer processor.
Manual inputting
of data doesn't seem like a
big deal for a startup with just a few clients, but over time it becomes a major problem area,
because eventually you may be dealing with dozens
of large accounts.
This is a teachable moment, he said,
because in the age
of AI, virtually every
big company will find itself where Facebook is today — being held responsible for how it collects and uses the
data that drives its business.
Amazon Web Services was a pioneer in such low - cost
data warehousing and remains one
of the
biggest providers, but for a variety
of reasons — whether
because companies want additional technical support or
because regulations require them to store their
data within Canada's borders — many are looking around for other options.
«
Big data» is one of marketing's latest buzzwords, but just because it's «big» doesn't mean it's unattainable for smaller bran
Big data» is one
of marketing's latest buzzwords, but just
because it's «
big» doesn't mean it's unattainable for smaller bran
big» doesn't mean it's unattainable for smaller brands.
«There may potentially be huge pockets
of people who could be even better individuals for a position that end up being excluded
because they aren't part
of a
bigger data set,» he said.
The
bigger issue is that Facebook had known about the
data leak as early as two years ago, but did nothing to inform its users —
because the violation was not a «breach»
of Facebook's security protocols.
Short interest ominously spiked in the stock this week just before the earnings report
because scanner
data from IRI revealed that most
of Boston Beer's
big brands experienced volume declines, save for the summery Twisted Tea.
I call this an AdWords Jackpot
because it reminds me
of hitting a row
of lucky 7s in Vegas — I just hit a
Big Data Solutions jackpot!
Choudary said the function
of a lot
of big learning algorithms is not visible even to their own creators
because these algorithms keep training themselves on
data and keep finding new ways
of differentiating and making decisions.
If you think there isn't a connection between home improvement and
Big Data, reconsider,
because Big Data is becoming a part
of just about every major industry.
While understanding the growing frustration the FA pointed to the complexity
of the issue and the lack
of useful research — the last study in 2002 failed
because it did not provide a
big enough volume
of data — for the lack
of definitive answers up to now.
Because in the twenty - first century, the companies and countries that will succeed will be those who can exploit the huge opportunities the new digital age and the era
of big data are bringing — in high - value manufacturing, digital media, education and medical technology.
Among the
biggest bureaucratic challenges faced by the UK Space Agency is its management
of applications for new satellites, which are viewed as critical
because of their ability to provide
data on the environment, climate, weather, security agriculture, coastal management and disaster mitigation.
We needed to have partnerships with industry,
because the
big technology companies not only have lots and lots
of data, but also a variety
of data sources and many interesting contexts to apply AI.»
I chose it
because it's a
big - picture project, a collaboration between public health officials, scientists, and doctors with the shared goal
of providing
data - driven advice to policymakers.
«This was a
big milestone
because it means that all the other systems are up and ready to go, and we're taking
data,» says KATRIN member Joseph Formaggio
of MIT.
There's also little
data to flesh out the
big picture: Scientists do not track the incidence
of nonlethal morbillivirus in healthy dolphins, largely
because of the logistical challenges and cost
of tracking live dolphins.
«The application
of big data methods to target soldiers at high risk
of rare but important outcomes like suicide is an exciting development
because it gives us a way forward in focusing prevention efforts on an ongoing basis,» said Robert Ursano, chairman
of the Psychiatry Department at the Uniformed Services University
of the Health Sciences and an Army STARRS Principal Investigator.
Because the
data don't go beyond 2009, WHO has little or no evidence
of progress in 31 other African countries, including
big ones like Nigeria and the Democratic Republic
of the Congo, where bed nets have only recently been introduced on a large scale.
Most active work in cosmology is done within the
big bang framework
because of its continuing success in meeting these criteria, as observational
data become more and more accurate.
Because we tend to be
big of brain, and we deal in
data and ideas, we think that somehow and someway we should be able to figure out what drives us.
Results
of this trial is a
big deal,
because it is a pivotal trial,
data from which will be used for BLA submission to FDA and market approval.
It's based on solid
data and I hope we'll make a
big difference
because if we can merge the high response rate and the elegance
of targeted therapy with the durability
of responses from immunotherapy, I feel we will make a
big difference in treating cancer.
I joined the advisory board on Viome
because it's one
of the things where they're taking all that, throwing it into
big data.
Cleo - Pleasure Seekers Now 23 Sydney escorts, female to one
big screen shot but what you can host only for a nice girl just more frequent escorts
because of data revealed that makes us are a dildo.
She asserts that traditional
data must be included in Big Data because it is an important piece of the Big Data pict
data must be included in
Big Data because it is an important piece of the Big Data pict
Data because it is an important piece
of the
Big Data pict
Data picture.
What is very clear is that the race for managing people and
Big Data has already started: It is a result
of the need to manage and to attract talent,
because they need to compromise and to develop it.
If by
Big Data some specific needs are identified from a customer, then yes, the data analytics department can tell the commercial department to offer a specific product to that potential customer, because it has been identified that it may be of any inter
Data some specific needs are identified from a customer, then yes, the
data analytics department can tell the commercial department to offer a specific product to that potential customer, because it has been identified that it may be of any inter
data analytics department can tell the commercial department to offer a specific product to that potential customer,
because it has been identified that it may be
of any interest.
But it is true: Especially in Spain, which is at the origin
of which is the analysis
of Big Data and indexes (because in fact we find many companies that even they do not have their own systems and computerized structured data), they continue working hard to excel in a very primitive way in what is data analy
Data and indexes (
because in fact we find many companies that even they do not have their own systems and computerized structured
data), they continue working hard to excel in a very primitive way in what is data analy
data), they continue working hard to excel in a very primitive way in what is
data analy
data analysis.
The examples are endless,
because we can apply the term «
Big Data» to all the data produced during the use of an eLearning solut
Data» to all the
data produced during the use of an eLearning solut
data produced during the use
of an eLearning solution.
But the Stop Start report finds this is likely to be a
big underestimate
because there is no clear definition
of a «children's centre» and official
data does not keep up with closures announced locally.
One
of the
biggest changes in achievement gaps between 1971 and 2012 is a 27 - point narrowing between the average reading scores
of black and white 17 - year - old students.The report's
data indicate that such race - based gaps have narrowed
because black and Hispanic students have made larger gains than their white peers.
This finding, which challenges long - term assumptions about college drop - outs, was only possible
because of a research project using
Big Data analysis.
The InnoDrive tech is a
big advantage in Hybrid mode
because it analyzes
data from sensors and the navigation software to make the most efficient use
of the E-Hybrid's two sources
of power.
One
of the
big reasons why Penguin and Simon & Shuster do business with the New York Public Library is
because of the
data the library receives.
Thanks so much for doing this Hugh and
Data Guru — my husband is a statistician and we've talked before about doing some kind of bigger data analysis, because I am always talking about the trad / indie / hybrid thing and he always says «case studies don't count.&ra
Data Guru — my husband is a statistician and we've talked before about doing some kind
of bigger data analysis, because I am always talking about the trad / indie / hybrid thing and he always says «case studies don't count.&ra
data analysis,
because I am always talking about the trad / indie / hybrid thing and he always says «case studies don't count.»
It is
because of the fact that corporations these days rely heavily on a
big amount
of data which influences and complicates the business decisions.
According to MoneySense's
data manager Phil Froats, the
big reasons why Bay Roberts, Williams Lake, B.C., Port Alberni, B.C. and the rest
of the sad sack lot are at the bottom is
because of high unemployment, low average household income, negative population growth rates, a dismal culture industry and, for the most part, high crime.
But the
big benefit is that people that can not get approved for a mortgage
because of a low credit score might pass for a mortgage with trended
data.
The studies were a
big step forward
because they used an objective source
of insights (the historical
data) to help aspiring retirees form their investing strategies.
A key
data point is that mainly
because of one
of United's
big hubs being in Houston, there are over 11,000 United employees in the affected areas by Hurricane Harvey.
This may be
because of innate suspicion
of «
big science» (which climate science has become, with powerful patrons in government and UN and international institutions) or
because of a commitment to forms
of data and knowledge libertarianism, as in the Wikileaks movement.
I think it's known that 1998 was so «hot»
because of a
big El Niño, but using NOAA temperature anomaly
data for the top ten El Niño events alone, we arrive at around 30 - 40 %
of the total late 20thC warming.
And over the period
of Tingri / Kathmandu overlap (1963 - 1980),
because of the
big jump the «trend»
of the Tingri
data is a jaw - dropping 15 °C per century.
I hope nobody is tempted to assume that the remaining temperature increase claims in the IPCC Table referred to above are accurate simply
because Big Oil hasn't funded any
of us sufficiently to study all the adjusted
data.
The
biggest reason the public doesn't follow wherever the pro-AGW crowdd leads is
because of Climategate, and the emails in which the climate scientists convict themselves
of unscientific behavior and collusion and conspiracy, as well as cherry - picking and deceptive fudging
of the
data, as in «hide the decline.»