Sentences with phrase «does big data»

Does Big Data represent a paradigm shift in the business of bringing medicines to market?

What does big data mean for the legal field?

Entrepreneur: What does Big Data mean for the world?

I've come to believe that the only way to do big data right is to do it from day one.

Do big data marketing analytics really work?

Eharmony and Match doing their Big Data posturing hasn't resulted in an uptick in effectiveness.

Although there are service providers to do Big Data crunching, and any publisher might use them for some challenges, Brooks believes that learning to use available tools routinely will become a necessary skill set in most publishing houses.

«It is about the knowledge base — pulling together the algorithms for the array's control system, running the numbers, doing the big data.

They'll load in full - res if tapped, but Facebook only wants to do those big data pulls if people volunteer for them.

Not exact matches

Data scientists typically like to tackle big challenges, and businesses often provide an opportunity to do so.

Meanwhile, Netflix (along with other big streaming players) is very protective of its viewership data, which the streaming service claims is made irrelevant by the fact that Netflix does not rely on ad sales like its traditional TV rivals.

Without doing that, all of our growing mounds of big data will simply be big blobs on ever - bigger data servers.

Big Data is so voluminous, the byte sizes it refers to are terms we pedestrian folk don't typically even hear — things like «petabytes,» «exabytes,» and «zettabytes.»

If your board does not have a solid understanding of IT - drivers, such as cloud computing, big data, consumerization, mobile computing, cyber-crime, e-corruption and social media, it will suffer.

On this year's list, robots are going places no human has ever been, «big data» is doing things that weathermen have never been able to master, carbon is being captured from waste and turned into fuel simultaneously, fiber optic cables are searching for oil, and future well blowouts are being averted (maybe).

Do you really understand the value of big data?

If there's consensus on one thing about big data it's that it really doesn't have a specific definition.

And there's the rub: As easy as it may be to talk big about big data, the actual doing is a slog — plumbing and janitorial tasks that take a lot of effort and yield marginal benefits.

But again, the rollback potentially not giving ISPs as big of a business advantage doesn't do much to keep your data private.

But the same big - data demos were being done in many sectors, including transportation, security, agriculture, and finance.

Big data offers new frontiers for innovation, but don't leave it solely to your information technology team.

Even as corporate earnings continue to soar and big companies appear to be very profitable, I've remained cautiously optimistic about the economy, because the SurePayroll Small Business Scorecard data doesn't reveal the uptick in hiring we've wanted to see.

While the book is stuffed with helpful big picture observations, it doesn't offer much in the way of specific on - the - ground ideas — though Keen does call for reforms to data privacy and gig economy labor laws, and for a serious discussion of a universal basic income.

Sure, big data may be doing amazing things in the world with more yet to come, but it's also true that your start - up probably has limited resources to devote to analyzing data.

There is a big problem, though: The banks don't typically own that financial data.

Big Data While the definitive source of the term big data — which is used describe a collection of analytics that companies use to predict customer behavior — is a little fuzzy, according to some digging done by New York Times reporter Steve Lohr, the person responsible for its popularization is a man named John Mashey, a computer scientists who was VP and chief scientist at company called Silicon Graphics in the early 1990s and 200Big Data While the definitive source of the term big data — which is used describe a collection of analytics that companies use to predict customer behavior — is a little fuzzy, according to some digging done by New York Times reporter Steve Lohr, the person responsible for its popularization is a man named John Mashey, a computer scientists who was VP and chief scientist at company called Silicon Graphics in the early 1990s and 20Data While the definitive source of the term big data — which is used describe a collection of analytics that companies use to predict customer behavior — is a little fuzzy, according to some digging done by New York Times reporter Steve Lohr, the person responsible for its popularization is a man named John Mashey, a computer scientists who was VP and chief scientist at company called Silicon Graphics in the early 1990s and 200big data — which is used describe a collection of analytics that companies use to predict customer behavior — is a little fuzzy, according to some digging done by New York Times reporter Steve Lohr, the person responsible for its popularization is a man named John Mashey, a computer scientists who was VP and chief scientist at company called Silicon Graphics in the early 1990s and 20data — which is used describe a collection of analytics that companies use to predict customer behavior — is a little fuzzy, according to some digging done by New York Times reporter Steve Lohr, the person responsible for its popularization is a man named John Mashey, a computer scientists who was VP and chief scientist at company called Silicon Graphics in the early 1990s and 2000s.

The challenge for startups is three-fold: one, most don't have access to big data; two, most haven't built relational databases from which data can be easily pulled; and three, most haven't yet hired a data scientist and a team of analysts.

«We have a phenomenal capacity to manage multiple streams of data, or coordinate several tasks, when they all are part of the same bigger activity and contribute to a common goal: not only can we do it, we find immense pleasure in it.

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.

For the most critical decisions — the ones where no amount of data will tell you the right thing to do — I focus on thinking about it and then getting a big, long sleep of eight to nine hours.

«While one data point doesn't make a trend, this is the biggest monthly decline in Ireland's Treasury holdings since the data became available, and...

Feedback is big data gold, but many companies don't welcome it as well as they should or, if they do, they let it collect dust.

Dave and I chat a lot about technology in the recruitment world, and, as he points out, «Technology, and big data, in particular, has hugely impacted the way we do business in the 21st Century, but what about the art?

Computers don't have emotions (yet), so it's important to properly read the story that big data is telling you.

The hitch is that big data doesn't automatically translate into big insights, says Robert Levy, president of Toronto - based research and branding firm BrandSpark International, which develops quantitative consumer survey methods.

This is the latest example of a big software company moving its IT operations to AWS or another public cloud so it doesn't have to build or manage data center infrastructure on its own.

Rogers» take is that while most big web applications that must run on thousands of servers spread all over the world have flowed to AWS, it'll take much longer for important enterprise software like accounting and inventory systems that have run in corporate data centers for decades, to do the same.

We hear a lot about Big Data, but we don't usually get many easy - to - relate - to examples of it.

BI: What pieces of new information (e.g. economic data releases, price action in a given market over the next few days / weeks, etc.) do you think have the biggest potential to alter your outlook?

The fields and arenas of professional sports are a testing ground for the return on investment that's possible from data analytics, and nothing did as much to popularize the concept of big data in sports as «Moneyball.»

But in the blockchain world, «there is no big pile of data — it doesn't exist,» he said.

The biggest challenge for the company was that some locations didn't have an IT presence, but its CRM was set up to gather data from each POS to ensure no location was left out.

Big data, social data, data mining — there's so much data around, and so many things you're supposed to do with it, that it's a wonder many entrepreneurs don't curl into the fetal position and enact a new type of data regression, where the mound of data causes you to regress back to the womb.

While fingerprints could be locally stored on a phone, it doesn't take a big intellectual leap to see that biometric data captured in a larger, more global database.

Data and digitalization have transformed many industries, including oil and gas, and they will continue to do so, creating billions of U.S. dollars from the businesses of big data analytics and digital oil fieData and digitalization have transformed many industries, including oil and gas, and they will continue to do so, creating billions of U.S. dollars from the businesses of big data analytics and digital oil fiedata analytics and digital oil fields.

The big trend is that we've got all these new data sources and machine learning to take advantage of and do something actionable.

Big data debunks hiring myths: Don't let dated hiring and work - force management practices hurt your business.

«Big data» is one of marketing's latest buzzwords, but just because it's «big» doesn't mean it's unattainable for smaller branBig data» is one of marketing's latest buzzwords, but just because it's «big» doesn't mean it's unattainable for smaller branbig» doesn't mean it's unattainable for smaller brands.

Sure, big batches of data and photos are needed to make sure these kind of computer vision applications work, but Apple insists that it doesn't need your photos, specifically.

In the early days of digital marketing, we didn't have the advantage of Big Data, but today practically any action you take online is measurable.