Sentences with phrase «sheer data volume»

Not exact matches

But the sheer volume of software and sensors in new vehicles, combined with artificial intelligence that can sift through data at ever - quickening speeds, means new services and revenue streams are quickly emerging.

Although algorithms are necessary simply because of the sheer volume of data Flipboard is sifting through, humans are crucial, he says.

IoT is poised to revolutionize data management through the sheer volume of sensors and devices collecting information.

While the sheer volume and velocity of data is definitely astonishing, what's even more compelling is our growing capacity to gather, analyze and make sense of it all.

That the personal data of tens of millions of Facebook users fell into the wrong hands is troubling politicians, but Germany's top competition regulator is questioning the sheer volume of information that the social network harvests.

The sheer volume of data that is now being created presents a significant resource that can be used for the mutual benefit of organisations and academic research.

The sheer volume of data — totaling millions of observations — makes this the first study able to identify vehicle color as a main contributor to accident rates, the team reports today in the Proceedings of the National Academy of Sciences.

«The most obvious challenge, of course, is the sheer volume of data that could be created and the difficulties in managing, organizing and providing access to that data,» said Jerry Sheehan, assistant director for policy development at the National Library of Medicine, an arm of the National Institutes of Health.

The sheer volume of scientific data to be collected is one of the mission's more remarkable features.

The sheer volume and scope of the data is unprecedented, said Persson, who is also a professor in UC Berkeley's Department of Materials Science and Engineering.

Second, to handle the sheer volume of data, which might be millions of reads from a single run.

The sheer volume of data generated for this project is what amazes me.

Thousands took part and, overwhelmingly, people talked about the sheer volume of lesson planning, marking and data management which was too often being driven by fear of inspection rather than for the benefit of the child.

Its sheer volume of technologies was vast and included some that no other car had at the time, particularly NavTraffic live traffic data incorporated into the navigation system.

The sheer volume of this data (at least past a couple levels) is pretty much useless to humans since it's changing so fast we could only comprehend an extremely small amount until it's more or less obsolete.

Born 1982, Auckland, New Zealand Education 2009 Meisterschule, Städelschule HFBK, Frankfurt am Main 2005 BFA, Elam School of Fine Arts, University of Auckland Solo exhibitions 2018 «Games of Decentralized Life» Galerie Buchholz, Cologne 2018 «The Founder's Paradox», MOCA Museum of Contemporary Art, Cleveland 2017 «The Founder's Paradox», Michael Lett, Auckland 2017 «The Founder's Paradox», Michael Lett, Auckland 2017 «Shenzhen Entrepreneurial Form», Fine Arts, Sydney 2017 «FaaS — Feedback as a Service: Reflecting on messaging, debate and criticality inside a parliamentary discussion on internet governance», Bozar, Brussels 2017 «Simon Denny: Real Mass Entrepreneurship», C2 Space, OCT - LOFT, OCAT Shenzhen 2017 «Hammer Projects: Simon Denny», Hammer Museum, Los Angeles 2016 «Secret Power», Museum of New Zealand Te Papa Tongarewa, Wellington 2016 «Blockchain Future States», Petzel Gallery, New York 2016 «Business Insider», WIELS, Brussels 2015 «Products for Organising», Serpentine Sackler Gallery, London 2015 «Secret Power», New Zealand Pavilion, 56th Venice Biennale 2015 «The Innovator's Dilemma», MoMA PS1, New York 2014 «The Personal Effects of Kim Dotcom», Adam Art Gallery, Victoria University, Wellington 2014 «New Management», Portikus, Frankfurt am Main 2014 «The Personal Effects of Kim Dotcom», Firstsite, Colchester 2014 «TEDxVaduz redux», T293, Rome 2014 «Disruptive Berlin», Galerie Buchholz, Berlin 2013 «The Personal Effects of Kim Dotcom», mumok, Wien 2013 «All You Need is Data — The DLD 2012 Conference REDUX rerun», Petzel Gallery, New York 2013 «All You Need is Data — The DLD 2012 Conference REDUX», Kunstverein München 2012 «Full Participation», Aspen Art Museum, Aspen 2012 «Envisaging Vocational Rehabilitation» (with Joanna Fadyl), Westfälischer Kunstverein, Münster 2011 «Corporate Video Decisions», Friedrich Petzel Gallery 2011 «Corporate Video Decisions», Michael Lett, Auckland 2011 «Cruise Line», NAK Neuer Aachener Kunstverein, Aachen 2011 «Chronic Expectation: CFS / ME Documentary Restoration», T293, Rome 2011 «7 Unreachable Elevators», IMO, Copenhagen 2010 «Negative Headroom: the broadcast signal intrusion incident», Contemporary Art Museum, St. Louis 2010 «Negative Headroom: the broadcast signal intrusion incident», Halle Für Kunst, Lüneburg 2010 «Remote Tutorial: hate poems for travelers», Landings Project Space, Vestfossen 2010 «Introductory logic tutorial video», Artspace, Sydney 2009 «Celebrities» houses at night: a projection», Standard Oslo, Oslo 2009 «Starting from behind», Michael Lett, Auckland 2009 «Deep Sea Vaudeo», Galerie Daniel Buchholz, Cologne 2009 «Watching Videos Dry», T293, Naples 2009 «7 Drunken Videos `, Luettgenmeijer, Berlin 2008 «Aquarium Paintings (with Nick Austin)», Center, Berlin 2008 «Ruined by Sheer Confidence», Caribic Residency, Frankfurt am Main 2008 «Alexandra Bircken / Simon Denny», Ursula Blickle Stiftung, Kraichtal 2008 «Recent Haircuts», Uplands Gallery, Melbourne 2008 «Recent Haircuts», Gambia Castle, Auckland 2007 «Compression Club», Michael Lett, Auckland 2007 «Monthly Cowards», Gambia Castle, Auckland 2007 «Paltry Motion», Dunedin Pubic Art Gallery, Dunedin 2006 «Old Entertainment System», Window, Auckland 2006 «Scape», Art & Industry Biennial, Christchurch 2006 «Old Things», Michael Lett, Auckland 2005» Arranging Sympathies», Volume Series, The Physics Room, Christchurch

Regardless, the sheer volume of data led to the creation of different branches of research that became individual specialties.

My experience has been that things that «work» seem to do so because the data that you model with is hard come by or hard to handle because of its sheer volume.

It talks about how much data might be generated (4,000 GB per day), how that sheer volume will be handled, and how it might be monetized.

This sheer volume of data held by organizations makes it clear that electronically stored information plays an essential part in litigation today.

While such fines may still be relatively lower in total compared to those in the US or UK, it's the sheer volume of claims that large industrial employers may face that makes this practice stream both rich in potential data and also likely to benefit from any predictive capability.

The sheer volume of data that is being created every day, in increasingly varied forms and locations, with even individuals now commonly having 1 TB or more of data (and growing), mandates the use of ever more sophisticated tools and technology («fight tech with tech») in order to make sense out of chaos.

The sheer number of devices generating data, and the volumes of data they will generate, will be overwhelming.

The sheer volume of this data is so great; most popular tax preparation software can't even handle it.

The principle behind this functionality has clear social benefits, but it's the sheer volume of data that Facebook makes available that may surprise you.