| 000 | 05564nam a2200829 4500 | ||
|---|---|---|---|
| 001 | 9781503628045 | ||
| 003 | DE-B1597 | ||
| 005 | 20260416115151.0 | ||
| 006 | m|||||o||d|||||||| | ||
| 007 | cr || |||||||| | ||
| 008 | 260303s2021 cau fo d z eng d | ||
| 020 | _a9781503628045 | ||
| 024 | 7 |
_a10.1515/9781503628045 _2doi |
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| 035 | _a(DE-B1597)BR1259116 | ||
| 035 | _z(OCoLC)1241730045 | ||
| 040 |
_aDE-B1597 _beng _cDE-B1597 _erda |
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| 041 | 0 | _aeng | |
| 044 |
_acau _cUS-CA |
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| 072 | 7 |
_aPOL _x024000 _2bisacsh |
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| 072 | 7 |
_aBUS _x043000 _2bisacsh |
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| 072 | 7 |
_aBUS _x041000 _2bisacsh |
|
| 100 | 1 |
_aVenkatesan, Raj, _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 245 | 0 | 0 |
_aThe AI Marketing Canvas : _bA Five-Stage Road Map to Implementing Artificial Intelligence in Marketing / _cRaj Venkatesan, Jim Lecinski. |
| 264 | 1 |
_aStanford, CA _bStanford University Press, _c[2021] |
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| 264 | 4 | _c©2021 | |
| 300 | _a1 online resource (272 p.) | ||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 505 | 0 | 0 |
_tFrontmatter -- _tContents -- _tNotice to Readers -- _tFigures -- _tPART 1. The Challenge and the Solution -- _tPART 2. AI and Marketing Essentials -- _tPART 3. The AI Marketing Canvas -- _tPART 4. Implementation -- _tAcknowledgments -- _tNotes -- _tIndex -- _tAbout the Authors |
| 506 | 0 |
_arestricted access _uhttp://purl.org/coar/access_right/c_16ec _fonline access with authorization _2star |
|
| 520 | _aThis book offers a direct, actionable plan CMOs can use to map out initiatives that are properly sequenced and designed for success-regardless of where their marketing organization is in the process. The authors pose the following critical questions to marketers: (1) How should modern marketers be thinking about artificial intelligence and machine learning? and (2) How should marketers be developing a strategy and plan to implement AI into their marketing toolkit? The opening chapters provide marketing leaders with an overview of what exactly AI is and how is it different than traditional computer science approaches. Venkatesan and Lecinski, then, propose a best-practice, five-stage framework for implementing what they term the "AI Marketing Canvas." Their approach is based on research and interviews they conducted with leading marketers, and offers many tangible examples of what brands are doing at each stage of the AI Marketing Canvas. By way of guidance, Venkatesan and Lecinski provide examples of brands-including Google, Lyft, Ancestry.com, and Coca-Cola-that have successfully woven AI into their marketing strategies. The book concludes with a discussion of important implications for marketing leaders-for your team and culture. | ||
| 538 | _aMode of access: Internet via World Wide Web. | ||
| 545 | _aRaj Venkatesan is the Ronald Trzcinski Professor of Business Administration in the Darden Graduate School of Business Administration at the University of Virginia. His writing has appeared in the Journal of Marketing and Harvard Business Review, among others, and he is the coauthor of Marketing Analytics (2021). Jim Lecinski is a Clinical Associate Professor of Marketing at Northwestern University's Kellogg School of Management. His thirty years of experience as a marketing adviser for prominent global brands includes a twelve-year stint at Google, where he was vice president of customer solutions. He is the author of Winning the Zero Moment of Truth (2011). | ||
| 546 | _aIn English. | ||
| 588 | 0 | _aDescription based on online resource; title from PDF title page (publisher's Web site, viewed March 03 2026) | |
| 650 | 7 |
_aPOLITICAL SCIENCE / Public Policy / Economic Policy. _2bisacsh |
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| 650 | 7 |
_aBUSINESS & ECONOMICS / Marketing / General. _2bisacsh |
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| 650 | 7 |
_aBUSINESS & ECONOMICS / Management. _2bisacsh |
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| 653 | 0 | _amarketing | |
| 653 | 0 | _amarketing strategy | |
| 653 | 0 | _adigital marketing | |
| 653 | 0 | _aonline marketing | |
| 653 | 0 | _aartificial intelligence | |
| 653 | 0 | _amachine learning | |
| 653 | 0 | _aAI | |
| 653 | 0 | _aAI strategy | |
| 653 | 0 | _aAI for marketing | |
| 653 | 0 | _aone-to-one marketing | |
| 653 | 0 | _amarketing | |
| 653 | 0 | _amarketing strategy | |
| 653 | 0 | _adigital marketing | |
| 653 | 0 | _aonline marketing | |
| 653 | 0 | _aartificial intelligence | |
| 653 | 0 | _amachine learning | |
| 653 | 0 | _aAI | |
| 653 | 0 | _aAI strategy | |
| 653 | 0 | _aAI for marketing | |
| 653 | 0 | _aone-to-one marketing | |
| 700 | 1 |
_aLecinski, Jim, _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 773 | 0 | 8 |
_iTitle is part of eBook package: _dDe Gruyter _tStanford University Press Complete eBook-Package 2021 _z9783110739145 _oZDB-23-26 |
| 773 | 0 | 8 |
_iTitle is part of eBook package: _dDe Gruyter _teBook Package Economics 2021 / Book-Paket Wirtschaftswissenschaften 2021 _z9783110753820 _oZDB-23-DBV |
| 773 | 0 | 8 |
_iTitle is part of eBook package: _dDe Gruyter _teBook Package Business and Economics 2021 English / eBook-Paket Wirtschaftswissenschaften 2021 Englisch _z9783110754049 _o978-3-11-075404-9 EBOOK PACKAGE Business and Economics 2021 English |
| 856 | 4 | 0 | _uhttps://www.degruyterbrill.com/isbn/9781503628045 |
| 856 | 4 | 2 |
_3Cover _uhttps://www.degruyterbrill.com/document/cover/isbn/9781503628045/original |
| 912 |
_aZDB-23-26 _b2021 |
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| 912 |
_aZDB-23-DBV _b2021 |
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| 912 |
_a978-3-11-075404-9 EBOOK PACKAGE Business and Economics 2021 English _b2021 |
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| 912 | _aGBV-deGruyter-alles | ||
| 942 | _cE-BOOK | ||
| 999 |
_c49543 _d49543 |
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