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OCoLC |
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20210113152023.0 |
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|a 42-632
|q (GPO jacket number)
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|a on1230505965
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|a 1013-E (online)
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|a Y 4.F 49/20:116-73
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|a Serial no. 116-73 (United States. Congress. House. Committee on Financial Services)
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|a Online Government Document
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110 |
1 |
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|a United States.
|b Congress.
|b House.
|b Committee on Financial Services.
|b Task Force on Artificial Intelligence,
|e author.
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245 |
1 |
0 |
|a Robots on Wall Street :
|b the impact of AI on capital markets and jobs in the financial services industry : hearing before the Task Force on Artificial Intelligence, Committee on Financial Services, U.S. House of Representatives, One Hundred Sixteenth Congress, first session, December 6, 2019.
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246 |
3 |
0 |
|a Impact of AI on capital markets and jobs in the financial services industry
|
264 |
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1 |
|a Washington :
|b U.S. Government Publishing Office,
|c 2020.
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300 |
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|a 1 online resource (v, 127 pages) :
|b illustrations
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|a text
|b txt
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|a online resource
|b cr
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|a Access ID (govinfo): CHRG-116hhrg42632.
|
500 |
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|a "Serial no. 116-73."
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|a Includes bibliographical references.
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0 |
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|a Hearing witnesses: Fender, Rebecca, CFA, Senior Director, Future of Finance Initiative, Chartered Financial Analyst (CFA) Institute; Lopez de Prado, Marcos, Professor of Practice, Engineering School, Cornell University, and Chief Investment Officer, True Positive Technologies; McIlwain, Charlton, Vice Provost, Faculty Engagement and Development, and Professor of Media, Culture, and Communication, New York University (NYU); Rejsjo, Martina, Vice President, Nasdaq MarketWatch; Wegner, Kirsten, Chief Executive Officer, Modern Markets Initiative (MMI).
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518 |
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|a Date of hearing: 2019-12-06.
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588 |
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|a Description based on online resource; title from PDF title page (govinfo, viewed Jan. 13, 2021).
|
650 |
|
0 |
|a Electronic data processing
|z United States.
|
650 |
|
0 |
|a Artificial intelligence.
|
650 |
|
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|a Capital market
|z United States.
|
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|
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|a Financial services industry
|z United States.
|
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|
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|a Legislative hearings.
|2 lcgft
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|a Middle Tennessee State University
|b Main
|c James E. Walker Library
|d Electronic Resources
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|e Y 4.F 49/20:116-73
|h Library of Congress classification
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