Sentences with phrase «big data getting»

But with big data getting bigger and algorithms continually getting smarter, the quality and lead times are only going to improve.

«That's where big data gets really exciting,» she said.

Not exact matches

Few non-consumer companies get the kind attention that the big data analytics company Palantir gets.

The term «big data» gets tossed around so casually that it's easy to forget just how big «big» really is.

My feeling is that with a lack of supply and a burgeoning global demand for this sort of thing, Big Data science looks like a great field to get into.

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.

So back to the original conversation around the mega-trends: They told us that we were building data centers at an alarming rate and the biggest problem that people have in creating data centers is that they can't get energy to the data center.

«Big - data confessional» is one of my favorite startup parlor games — getting other founders to admit they never got around to creating the intelligence engines they had once dreamed of.

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.

Is a markets data junkie who gets excited by spikes in the DXY, the latest Fed policy decisions and the next big IPO

We're looking for someone who gets a thrill out of scouring earning reports, economic data, and futures markets for the next big story.

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

Mention big data to the average person on the street and you'll often get a yawn — or outrage.

Peter Duncan, Microseismic founder & CEO, and Andrew Tang, AutoGrid vice president, discuss how the energy sector, from big oil to the power grid, is getting a profit boost from big data.

Mike Fridgen, CEO, Decide.com, explains how consumers are harnessing big data to get the best prices.

In this era of Big Data, with more and more information available to us, we need to get better at teasing out the signal from the universe of noisy data that surroundsData, with more and more information available to us, we need to get better at teasing out the signal from the universe of noisy data that surroundsdata that surrounds it.

We decided to ask our customers, but we needed a big number of them to reply in order to get enough data.

Getting into your customers» heads to figure out exactly what happened in each abandoned - shopping - cart situation is difficult, but understanding their big picture behavioral trends using data is not.

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

The team was getting bigger; we brought customer service in - house and data analysts for uploading products, social media, and digital marketing.

Okay, it may not qualify as big data yet, but tools are cropping up left and right to help companies grasp where they should focus their content marketing to get the most bang for their buck.

To get deals in your inbox each morning, sign up for our Term Sheet newsletter Venture Capital Deals Apixio Inc., a San Mateo, Calif. - based provider of big data analytics for the healthcare market, has raised...

While the value of M&A deals globally increased 67 percent year - on - year in the first quarter of 2018, the number of deals dropped by 10 percent to 10,338, preliminary Thomson Reuters data show, reflecting how deals on average are getting bigger.

It is also fair to point out that this move continues a three - or four - year long period in which the biggest public cloud providers got bigger by virtue of massive spending on their own data center infrastructure and smaller players scrambled to stay relevant.

While storing data isn't anything new, Bitcoin's limit on the amount of data that can be stored hindered bigger and more serious players from getting involved.

Thankfully, two software engineers, a Google big data project, and some careful analysis have already done the heavy lifting, revealing the simple trick to getting the top comment in most...

You've got the big brands themselves understanding their data is so valuable they no longer want to give that away to advertising agencies.

Stuff I'm Reading this Morning... Stocks set to rip at the open as Dubai gets the rearview mirror treatment and China posts big data.

To get into a few specifics, pre-ticked boxes — which is essentially what Facebook is deploying here, with a big blue «accept and continue» button designed to grab your attention as it's juxtaposed against an anemic «manage data settings» option (which if you even manage to see it and read it sounds like a lot of tedious hard work)-- aren't going to constitute valid consent under GDPR.

Big data keeps getting bigger.

If bigger competitors like Apple pay AT&T to allow their users to get access without a data penalty to their services, it will put pressure on smaller players that are looking to compete.

What it's like working with big clients like VW and Proctor and Gamble Getting buy - in from all the departments on SEO Leveraging automation and tools to collect and process data Link building at scale The impact of machine learning on rankings The most important types of backlinks to focus on The problems

Previously, I kept track of our asset allocation on a spreadsheet and it takes a lot of manual data entry to get a big picture.

Summary of the Robin Hood conference: Einhorn, Tepper, Druckenmiller etc [ValueWalk] Profile of Renaissance Technologies» secretive Medallion Fund [Bloomberg] Reflections on the Trump Presidency, after the election [Ray Dalio] How T. Boone Pickens sits tight in the riskiest of businesses [NYTimes] The next generation of hedge fund stars: data - crunching computers [NYTimes] Treasury officials are warning hedge funds could create the next big crisis [Vox] Bill Ackman's 2016 fortune: down, but far from out [NYTimes] Omega's Einhorn sees Trump's policies boosting stocks [Reuters] Tourbillon's Jason Karp says Trump will make stock pickers great again [Reuters] John Paulson got Trump elected and now has favor to ask [Vanity Fair] Jim Chanos says Valeant was biggest loser ever for hedge funds [CNBC] Credit Suisse said raising $ 2 billion for hedge fund stakes [Bloomberg] Tyrian Investments to close [Reuters] Hedge fund strategies no longer correlated with equity returns [Investing] Female fund managers are a rarity across the globe [Morningstar] This is why alternatives are worth it [ValueWalk]

The theory behind it is simple: If Facebook has experimented on its users to find new and exciting ways to get us to use it in the way they'd prefer, we should also feel free to experiment on Facebook, and see if those experiments change how we think about what we share with one of the biggest repositories of human data in history.

Big Data is on the rise and it is easy to jump to the conclusion you can get all your answers from Big Data.

As companies have struggled to get their heads around «big data» — the notion that useful business insights can come from a thorough analysis of data gathered in the course of daily operations — they have increasingly turned to Hadoop technologies to simplify the process.

There's a tendency for marketers to interpret the information they get from Big Data as causations.

His second book Privacy: And How We Can Get It Back talks about how the big internet companies collect our data, buy it and sell it to the highest bidder.

After graduating from MIT and getting his MBA, Mahni pursued his interest in big data and genomics as Head of Marketing at Bina Technologies (acquired Roche).

«As the blockchain is getting bigger, as there will be more and more exchanges and companies with data needs.

Once the data like the NFP has been released and the market gets volatile then you would start trading on bigger time frames with bigger expiration dates to catch the corrections as the market transitions back to normal trading.

We're going to be getting all kinds of misleading statistics as the age of Big Data rolls along.

Binomial data usually get quite big standard errors, which are likely to overshadow something with a mean of 0.002.

At CampaignTech last week, former Obama analytics guru Amelia Showalter used a great definition for «Big Data», something that cuts through the bullsh*t to get to the heart of what we're talking about.

This seems not to be compatible with what we find in our data: high overall popular agreement with the following statements «Government should redistribute incomes» (agree 52 %, disagree 23 %), «Big business takes advantage of ordinary people» (agree 77 %, disagree 8 %), «Ordinary working people do not get their fair share» (agree 72 %, disagree 11 %), «There is one law for the rich and one for the poor» (agree 71 %, disagree 14 %), and «Management will always try to get the better of employees» (agree 68 %, disagree 12 %).

Technology helps, in big ways and little: grassroots data tools like the VAN let organizers get moving as soon as they hit the ground, and even something as simple as VOIP and cell phones take away some of the logistical hassle of setting up field offices.

«Getting data back from the field in real - time is the biggest selling point for Organizer over MiniVan,» DFA's Passanante said.

We need more data on who really showed up to the polls before we can say this conclusively, but it's difficult to see how Labour got the numbers it did without a big increase at least in youth turnout.

«A big challenge was getting the data,» Moore said, explaining that the team spent a large portion of the last year gathering data on elected officials throughout the country so users can enter their addresses and see their representatives.