Sentences with phrase «big data problems»

Today he works on novel neural stimulation methods, whole - brain imaging of neural dynamics in larval zebrafish, and computational tools for the big data problems that arise from volumetric neural imaging datasets.

Theta's advanced and flexible software platform supports the ALCF Data Science Program (ADSP), a new initiative targeted at big data problems, like Gursoy and Kasthuri's brain connectome project.

This study may provide new understanding of the complexities of the brain and help solve big data problems for future research.

Optimization problems can take many forms, and quantum processors have been theorized to be useful for a variety of machine learning and big data problems like stock portfolio optimization, image recognition and classification, and detecting anomalies.

Erik DeBenedictis of Sandia's Advanced Device Technologies department said Sandia can play an important role in creating breakthroughs that are not simply variations of transistors — developments such as computers that learn or technologies that move data from one part of the computer to another more efficiently — crucial for big data problems.

Through its Exacycle project, Google has lent some of its considerable computing muscle to a half - dozen big data problems being tackled in academia.

Joe Lonsdale, 8VC founding partner, talks about reinventing the way technology is used to monitor big data problems.

But the great limiting factor in harnessing all of this information - feedstock is not a «big data problem,» but rather a «messy data problem.»

We all need to agree that information security is a Big Data problem.

As the use of big data becomes increasingly effective and popular, more universities are forming groups and subgroups that focus on big data problem solving, which in turn is spurring the creation of new employment opportunities for scientists with expertise in this arena.

«Floodtags has this approach that uses an algorithm that allows people to tackle the big data problem — there are so many tweets — and make it useful and helpful for us.»

This is really a big data problem.

Determining the state of that ecology is a classic Big Data problem, where the Big Data is provided by a powerful combination of genetic sequencing techniques and supercomputing software tools.

«The big data problem can not be avoided and it is not going to subside in volume or variety,» remarked one lawyer.

Not exact matches

The software company solves a problem with big data: It's useless unless you know how to use it.

SAS's vice-president of marketing for the Americas, Cameron Dow, says part of the problem also lies in the fact that Canadian universities aren't graduating nearly enough data scientists, who ultimately will know how to deal with Big Ddata scientists, who ultimately will know how to deal with Big DataData.

Uday Hegde, CEO of USEReady, a firm that helps businesses leverage big data and BI technologies, shares why business leaders struggle to implement BI,» The problem is driving adoption in a large organization, as the data needs to be something each stakeholder can make use of.

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.

(At least until the first big security problem with a cloud service causes huge customer data losses.)

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

But from the widespread dissemination of intentionally misleading information to the leaking of profile data on probably more than a billion users, there are big problems related to Facebook's enormous size.

The only problem: these companies can't even agree on what «big data» means.»

«The biggest problem to me is the use, storage and collection of data that is used in social media,» says Shear.

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.

I was talking with Michel Guillet of Juice Analytics, a provider of products and services that make visualizing Big Data easier, about this very problem.

With the new influx of $ 140 million, Ghodsi and team are hoping to tackle the next big problem in the big data / machine learning / AI world: the lack of trained people.

This is the biggest problem with the data compiled: You are talking to people who felt optimistic enough about their own abilities to quit their jobs and start a business.

Watch out for: The person who holds up big data as a solution to a problem, but can't offer a plan of attack.

Dimon said the company would focus on using big data, virtual technology, better customer engagement and more consumer choice to address critical problems and issues.

But according to Adeyemi Ajao, the co-founder of Identified, a big data and analytics company focused on professional information, there are two glaring problems: First, not everyone is on LinkedIn, and second, the search options are not nearly specific enough.

The goal is to develop a better way to solve hugely complex problems like improving air traffic control and desalination plant operations — even if the data is a big jumble.

«From a purely engineering problem, trying to fit a lot of fairly complex information fairly intuitively into an iPhone screen [is] without a doubt one of our biggest issues,» said Uber data scientist Kevin Novak in a 2014 presentation [relevant part starts at 38:30] to a meetup group.

By immersing your strategy in big data and artificial intelligence, you can read the right signals, solve for specific problems, and most importantly, scale your efforts.

The biggest problem about this is not just that people were deceived about apps they were downloading; that is, they didn't fully understand how much of their private data they were exposing.

«Meaningful 401 (k) fee data is hard to come by and that's a big problem for small businesses,» says Employee Fiduciary President and CEO Eric Droblyen.

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

5 things to know about Europe's new data rules — which could cost big, bad tech billions Fines could be in the billions if calculated at the 4 % of revenue laid downFacebook's latest problem has put the spotlight on data protection and big tech.

A global network collaborating with customers to solve big problems and rapidly prototype and validate solutions using data science and lean techniques.

Nowadays, however, the availability of big data, and much more accurate information makes the problem of information asymmetry much less of a concern.

The branch of mathematics that supports the quantitative development of equity and financial information is becoming bigger as the largest of companies look to quantitative data over qualitative data to solve problems.

The problem that has always plagued BIG data is that it is an analytical view of past results — it is rooted in a past - to - present orientation.

The big problem with this website is that the data only goes back to 1972 which only gives us 46 years of data.

As with heliocentrism and evolution, the Big Bang theory at first faced problems with the data.

But I have a big, big problem with birth attendants misrepresenting their training and abilities and telling expectant parents that home birth is «as safe or safer» than hospital birth when the data shows the exact opposite.

But the biggest problem for the theory that stolen Facebook data was the key to Trump's election is this: according to a March 2017 Times story, «Cambridge executives now concede that the company never used psychographics in the Trump campaign.»

The biggest problem with Cambridge Analytica isn't that a company used data analytics to help a political campaign but rather that a private company harvested millions of Facebook user's information without users» consent.

Miner says they'll look at using big data to solve some of what she calls the city's «intractable problems.»

But Eric Greenleaf, a P.S. 234 parent and New York University Stern School of Business professor who has examined birth rate and school enrollment data, said that while the bigger school will help, it will not solve overcrowding problems Downtown.

But now we're in the era of big data, which harnesses the computing power of massive databases with bytes measured in teras (trillions) and petas (quadrillions), combined with sophisticated algorithms that can grapple with problems on a once - unimaginable scale.

• In News Focus, Robert Service writes about a relatively new scientific discipline (or, if you prefer, a new science career path): lone investigators, like Stanford University's Atul Butte, who do «dry lab» biology working on big - data problems with publically available data.