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@sambodhi 2018-02-27T07:14:24.000000Z 字数 9694 阅读 1203

综述2018年机器学习与市场的预测

作者|Louis Columbus
译者|Sambodhi
编辑|Debra

这些有趣的见解来自Forbes最新的机器学习市场预测、市场估计和预测的最新系列。机器学习对全球许多最重要的数据产业的潜在影响,继续推动风险投资、私募股权(PE)融资、并购和收购,这些都集中在赢得这一领域知识产权(IP)和专利的竞赛。

机器学习IP发展最快的领域之一是定制芯片组的研发。Deloitte Global预测今年全球数据中心将使用高达80万块机器学习芯片。企业将在2018年加大对机器学习项目的研究、投资和试点。尽管这些方法在各种预测、市场估计和预测方面有所不同,但都反映了机器学习如何提高企业的敏锐度和洞察力,使它们能够更快、更有利地增长。

从机器学习市场预测、市场估计和预测的收集中得出的关键结论如下:











机器学习市场数据来源:

2018 Outlook: Machine Learning and Artificial Intelligence, A Survey of 1,600+ Data Professionals. MEMSQL. (14 pp., PDF, no opt-in)

http://blog.memsql.com/2018-outlook-machine-learning-and-artificial-intelligence/

Advice for applying Machine Learning, Andrew Ng, Stanford University. (30 pp., PDF, no opt-in) >http://cs229.stanford.edu/materials/ML-advice.pdf

An Executive’s Guide to Machine Learning, McKinsey Quarterly. June 2015

https://www.mckinsey.com/industries/high-tech/our-insights/an-executives-guide-to-machine-learning

An Investors' Guide to Artificial Intelligence, J.P. Morgan. November 27, 2017 (110 pp., PDF, no opt-in)

https://flamingo.ai/wp-content/uploads/2017/11/JPMorganAnInvestorsGuideToArtificialIntelligencev2.pdf

Artificial intelligence and machine learning in financial services Market developments and financial stability implications, Financial Stability Board. (45 pp., PDF, no opt-in)

http://www.fsb.org/wp-content/uploads/P011117.pdf

Big Data and AI Strategies Machine Learning and Alternative Data Approach to Investing, J.P. Morgan. (280 pp., PDF. No opt-in).

http://valuesimplex.com/articles/JPM.pdf

Google & MIT Technology Review study: Machine Learning: The New Proving Ground for Competitive Advantage (10 pp., PDF, no opt-in).

https://s3.amazonaws.com/files.technologyreview.com/whitepapers/MITTR_GoogleforWork_Survey.pdf

Hitting the accelerator: the next generation of machine-learning chips, Deloitte. (6 pp., PDF, no opt-in).

https://www2.deloitte.com/content/dam/Deloitte/global/Images/infographics/technologymediatelecommunications/gx-deloitte-tmt-2018-nextgen-machine-learning-report.pdf

How Do Machines Learn? Algorithms are the Key to Machine Learning. Booz Allen Hamilton. (Infographic)

https://www.boozallen.com/s/insight/blog/how-do-machines-learn.html

IBM Predicts Demand For Data Scientists Will Soar 28% By 2020, Forbes. May 13, 2017

https://www.forbes.com/sites/louiscolumbus/2017/05/13/ibm-predicts-demand-for-data-scientists-will-soar-28-by-2020/?utm_content=buffer91f1f&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer#18f2160c7e3b

Machine Learning At Amazon, Amazon Web Services (47 pp., PDF no opt-in).

http://www.wsdm-conference.org/2017/wp-content/uploads/2017/02/Machine-Learning-@-Amazon.pdf

Machine Learning Evolution (infographic). PwC. April 17, 2017

http://usblogs.pwc.com/emerging-technology/machine-learning-evolution-infographic/

Machine learning: things are getting intense. Deloitte (6 pp., PDF. No opt-in)

https://www2.deloitte.com/content/dam/Deloitte/global/Images/infographics/technologymediatelecommunications/gx-deloitte-tmt-2018-intense-machine-learning-report.pdf

Machine Learning: The Power and Promise Of Computers That Learn By Example. The Royal Society’s Machine Learning Project (128 pp., PDF, no opt-in)

https://royalsociety.org/~/media/policy/projects/machine-learning/publications/machine-learning-report.pdf

McKinsey Global Institute Study, Artificial Intelligence, The Next Digital Frontier (80 pp., PDF, free, no opt-in).

https://www.mckinsey.com/mgi/overview

McKinsey's State Of Machine Learning And AI, 2017, Forbes, July 9, 2017.

https://www.forbes.com/sites/louiscolumbus/2017/07/09/mckinseys-state-of-machine-learning-and-ai-2017/#5118a2575b64

Predictions 2017: Artificial Intelligence Will Drive The Insights Revolution. Forrester, November 2, 2016 (9 pp., PDF, no opt-in).

https://go.forrester.com/wp-content/uploads/Forrester_Predictions_2017_-Artificial_Intelligence_Will_Drive_The_Insights_Revolution.pdf

Risks And Rewards: Scenarios around the economic impact of machine learning, The Economist Intelligence Unit. (80 pp., PDF, no opt-in).

http://eiuperspectives.economist.com/sites/default/files/Risks_and_rewards_2018.2.7.pdf

Smartening up with Artificial Intelligence (AI) - What’s in it for Germany and its Industrial Sector? Digital/McKinsey & Company. (52 pp., PDF, no opt-in).

https://www.mckinsey.de/files/170419_mckinsey_ki_final_m.pdf

So What Is Machine Learning Anyway? Business Insider. Nov. 23, 2017

http://www.businessinsider.com/what-is-machine-learning-quick-explainer-2017-11

The 10 Most Innovative Companies In AI/Machine Learning 2017, Wired.

https://www.fastcompany.com/3069025/the-10-most-innovative-companies-in-ai-machine-learning-2017

The Business Impact and Use Cases for Artificial Intelligence. Gartner (28 pp., PDF, no opt-in).

https://www.gartnerinfo.com/apacemergingtechtaipei/TheBusinessImpactandUseCasesforAI_TracyTsai.pdf

The Build-Or-Buy Dilemma In AI, Boston Consulting Group. January 4, 2018.

https://www.bcg.com/publications/2018/build-buy-dilemma-artificial-intelligence.aspx?linkId=47806407

The Next Generation of Medicine: Artificial Intelligence and Machine Learning, TM Capital (25 pp., PDF, free, opt-in).

https://www.tmcapital.com/wp-content/uploads/2017/11/TMCC20AI20Spotlight20-202017.10.2420vF.PDF

The Roadmap to Enterprise AI, Rage Networks Brief based on Gartner research. (17 pp., PDF, no opt-in).

https://www.gartner.com/imagesrv/media-products/pdf/rage_frameworks/rage-frameworks-1-34JHQ0K.pdf

Will You Embrace AI Fast Enough? AT Kearney. January 2018

https://www.atkearney.com/operations-performance-transformation/article?/a/will-you-embrace-ai-fast-enough

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