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词条 Draft:Domino Data Lab
释义

  1. History

  2. Products and Services

  3. References

{{AFC submission|d|corp|u=Hershill7|ns=118|decliner=K.e.coffman|declinets=20181025064548|ts=20180831151040}} {{AFC submission|d|corp|u=Hershill7|ns=118|decliner=Huon|declinets=20180227000430|small=yes|ts=20180226233300}} {{AFC submission|d|corp|u=Hershill7|ns=118|decliner=J947|declinets=20170921045613|small=yes|ts=20170816202505}} {{AFC submission|d|corp|u=Hershill7|ns=118|decliner=DrStrauss|declinets=20170701101602|small=yes|ts=20170606030959}} {{AFC comment|1=Some comments regarding the past reviews: a) DrStrauss and SwisterTwister have since been blocked; as far as I can tell neither block was related to AfC p, particularly not DrStrauss'. b) Indeed no new sources have been added; the "excess links to affiliated sources" have been removed, however. That said, I do not think the company has been shown to meet the standards of notability and would thus agree with the basic tenet of the reviews by both DrStrauss and J947. In particular, the provided sources do not provide the required depth of coverage and largely are routine coverage of funding rounds or personnel decisions. Huon (talk) 00:04, 27 February 2018 (UTC)}}{{AFC comment|1=No new sources have been added since previous decline. J947(c) (m) 04:56, 21 September 2017 (UTC)}}{{AFC comment|1=Unacceptable by policy What Wikipedia is not as the information and sources are press releases-style and none of it establishes significant in what goes into articles. Notability cannot be inherited as we judge articles in their own merits. SwisterTwister talk 17:34, 1 July 2017 (UTC)}}{{AFC comment|1=Please remove excess links to affiliated sources. DrStrauss talk 10:16, 1 July 2017 (UTC)}}
{{Infobox company
| name = Domino Data Lab
| logo =
| logo_size =
| type = Private
| industry = Software
| founded = {{Start date and age|2013}}
| founders = {{Unbulleted list|Nick Elprin|Matthew Granade|Chris Yang}}
| num_employees = 100
| homepage = {{URL|https://www.dominodatalab.com}}
| hq_location_city = San Francisco, California
}}Domino Data Lab is a software company that produces a data science platform used to develop and deploy predictive models with collaborative, reusable, and reproducible analysis. It was one of the first software products which allowed data scientists to collaborate on multiple projects..[1]

History

Domino Data Lab was founded in 2013 by Bridgewater Associates alumni Nick Elprin, Matthew Granade, and Chris Yang.[2] It received several rounds of funding including $3 million from Zetta Venture Partners, Bloomberg Beta, and In-Q-Tel in 2013, then $10.5 million led by Sequoia Capital in 2016[3], then $27 million in 2017 led by one of its hedge fund customers, Coatue Management[4], and finally $40 million in 2018 from previous investors[5].

In 2017 the company received AWS Machine Learning Competency status from Amazon Web Services.[6] That same year the company was named a Visionary by Gartner in its Magic Quadrant for Data Science and Machine Learning Platforms[7] and included in The Forrester Wave for Predictive Analytics And Machine Learning Solutions[8]

Products and Services

Domino Data Lab provides a platform called Domino Data Science Platform which is a central hub for data science work and model management.[9] It allows data scientists to develop and deploy data science models and collaborate on those projects.[10][11][12] The software works on premises and as a cloud service.[9] Its users include Allstate, Clorox, Coatue Management, DBRS, Instacart, Moody's, and Tesla.[13]

References

1. ^{{cite news|last1=Novet|first1=Jordan|title=Data scientists need their own GitHub. Here are four of the best options|url=https://venturebeat.com/2014/04/01/data-scientists-need-their-own-github-here-are-four-of-the-best/|accessdate=7 August 2017|publisher=Venture Beat|date=1 April 2014}}
2. ^{{cite news|last1=Levy|first1=Rachael|title=A tech startup founded by alumni of the world's largest hedge fund is launcing in London|url=http://www.businessinsider.com/coatue-backed-domino-data-hires-ex-google-ben-harknett-2017-5|accessdate=7 August 2017|publisher=Business Insider|date=23 May 2017}}
3. ^{{cite news|last1=Novet|first1=Jordan|title=Domino Data Lab raises $10.5 million led by Sequoia|url=https://venturebeat.com/2016/11/17/domino-data-lab-raises-10-5-million-led-by-sequoia/|accessdate=7 August 2017|publisher=Venture Beat|date=17 November 2016}}
4. ^{{cite news|last1=Hope|first1=Bradley|title=Hedge Fund Coatue Bets on Data Science With Investment in Domino Data Lab|url=https://www.wsj.com/articles/coatue-places-data-science-bet-1493206518|accessdate=7 August 2017|newspaper=The Wall Street Journal|date=26 April 2017}}
5. ^{{Cite news|url=https://www.forbes.com/sites/alexkonrad/2018/08/08/sequoia-coatue-domino-data-lab/|title=Why Sequoia And Coatue Just Poured $40 Million More Into This Data Science Startup|last=Konrad|first=Alex|work=Forbes|access-date=2018-08-31|language=en}}
6. ^{{Cite news|url=https://aws.amazon.com/blogs/machine-learning/introducing-the-inaugural-aws-machine-learning-competency-partners/|title=Introducing the Inaugural AWS Machine Learning Competency Partners {{!}} Amazon Web Services|date=2017-11-28|work=Amazon Web Services|access-date=2018-08-31|language=en-US}}
7. ^{{Cite web|url=https://www.kdnuggets.com/2018/02/gartner-2018-mq-data-science-machine-learning-changes.html|title=Gainers and Losers in Gartner 2018 Magic Quadrant for Data Science and Machine Learning Platforms|website=www.kdnuggets.com|language=en-US|access-date=2018-08-31}}
8. ^{{Cite news|url=https://go.forrester.com/blogs/17-03-07-fourteen_machine_learning_solutions_for_data_scientists_which_one_is_best_for_you/|title=Fourteen Machine Learning Solutions For Data Scientists - Which One Is Best For You?|date=2017-03-07|work=Forrester|access-date=2018-08-31|language=en-US}}
9. ^1 {{cite news|last1=Leopold|first1=George|title=Data Platform Speeds Model Deployment|url=https://www.datanami.com/2017/03/17/data-platform-speeds-model-deployment/|accessdate=7 August 2017|publisher=datanami|date=17 March 2017}}
10. ^{{Cite news|url=https://www.datanami.com/2018/05/31/data-science-success-all-about-the-models-domino-says/|title=Data Science Success All About the Models, Domino Says|date=2018-05-31|work=Datanami|access-date=2018-08-31|language=en-US}}
11. ^{{Cite news|url=https://www.nextplatform.com/2018/04/30/playing-dominoes-in-data-science/|title=Playing Dominoes In Data Science|date=2018-04-30|access-date=2018-08-31|language=en-US}}
12. ^{{Cite news|url=https://searchenterpriseai.techtarget.com/news/252442152/New-data-science-platforms-aim-to-be-workflow-collaboration-hubs|title=New data science platforms aim to be workflow, collaboration hubs|work=SearchEnterpriseAI|access-date=2018-08-31|language=en-US}}
13. ^{{Cite news|url=http://www.zdnet.com/article/domino-data-lab-raises-27m-in-round-led-by-hedge-fund-customer-coatue/|title=Domino Data Lab raises $27m in round led by hedge fund customer Coatue {{!}} ZDNet|last=Bindi|first=Tas|publisher=ZDNet|access-date=2017-06-06|language=en}}
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