Sentences with phrase «on 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.

Not exact matches

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.»

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.

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.

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.

«Language delivers fourfold speedups on big - data problems.»

Recognizing the reality that genomics analysis is a big data / HPC (High Performance Computing) problem in a field where life scientists are focused on the biology and not computer science, Intel has been reshaping genomics software tools and cluster configurations for life sciences in the many - core era with Intel Scalable System Framework (includes many - core processors, new 3D memory, high - performance networking fabric, and Lustre storage).

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.

One of the problems, one of the biggest issues in it, was there was no real data on the number of Indigenous teachers that were in fact out there, other than that 72 that Hughes and Willmot counted back in 1979.

The big problem, is that they are only able to fetch data on content that have ISBN numbers.

In terms of what his analysis offers to the industry — «I'm trying to solve the [same] problem the Big Five is trying to solve,» he said from the stage — Data Guy focused, in part, on an interpretation of debut - author unit sales, with 22 percent of them in 2014 coming from Big Five publishers, 11 percent in 2015 coming from Big Fives, and only 9 percent coming from Big Fives in the first quarterly report of 2016.

Nielsen, one of the biggest data - research forces tracking books today, has confirmed this problem: they can not see an illustrator's name in the credits on many of these books.

Satellite tracking technology and big - data processing are helping solve that problem by allowing us to see and record the tracks of ships on the ocean.

A related question: On p. 3 of the SI, S09 admit that one big problem with AWS data is variations in height as snow builds up.

The big problem with this particular hockey stick appears to be the temporal resolution of the proxies — which is about 120 years average for the historic temps, but is only 1 year for the 20th century data they have tagged on the end.

Big problem in the reconstruction was based on biased data, flawed method, and ultimately cherry - picked plotting.

One of the biggest problems I have seen in my research is that people accept what they read without analyzing the data on their own.

The biggest problem, and one that will only get bigger, is finding data on which one can rely.

But 20 years of accident data seems to tell us that it doesn't belong on a list of big problems, either.

We have talked about how legal tech often focuses on the wrong problems and that one of the things we should be doing is working to better access and wrangle big data.

When it comes to solving the problem of a malicious insider, it's a far more complex game, especially at a law firm that provides rich pickings for someone intent of selling on proprietary data for revenge or a big pay - cheque.

His talk, «Challenges and Opportunities in eDiscovery and Information Governance: Not Everything is Big Data,» will focus on the problems and opportunities with law and the collection of massive amounts of dData,» will focus on the problems and opportunities with law and the collection of massive amounts of datadata.

The storage space in this edition will be limited to just 32 GB which could be a hindrance for some people but if you don't have to store large chunks of data on your phone, it shouldn't be a big problem especially considering the price of the device.