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AI strategy for sales and marketingconnecting marketing, sales and customer experience /

Record Type:	Electronic resources : Monograph/item
Title/Author:	AI strategy for sales and marketingKatie King.
Reminder of title:	connecting marketing, sales and customer experience /
Author:	King, Katie,
Published:	London :Kogan Page,2022.
Description:	1 online resource (289 p.) :ill.
Subject:	MarketingTechnological innovations.
Online resource:	https://portal.igpublish.com/iglibrary/search/KOGANB0002282.html
ISBN:	9781398602014$q(electronic bk.)

AI strategy for sales and marketingconnecting marketing, sales and customer experience /
King, Katie,1967-

AI strategy for sales and marketingconnecting marketing, sales and customer experience /[electronic resource] :Katie King. - 1st ed. - London :Kogan Page,2022. - 1 online resource (289 p.) :ill.

Includes bibliographical references and index.

Access restricted to authorized users and institutions.

"Marketing and sales prioritize AI and machine learning more than any other business department, yet often struggle with how to scale and strategize the opportunities it presents. AI Strategy for Sales and Marketing presents a framework for understanding how AI can boost customer-centricity and sales by creating a connected strategy that delivers value today and into the future. Supported by practical tips and advice throughout, it covers topics including personalization, upskilling, customer experience for both on and offline shopping channels and the importance of using AI responsibly to create consumer trust. Featuring original research and interviews with leading practitioners, it also contains global case studies from organizations in a range of sectors, including Samsung, LinkedIn, PwC, Rolls Royce and Hilton, with insights into the various stages of their adoption journeys. Written by a recognized industry expert, it is an invaluable resource for those wanting to benefit from using AI strategically in marketing, sales and CX"--

Mode of access: World Wide Web.

ISBN: 9781398602014$q(electronic bk.)Subjects--Topical Terms:

246425
Marketing
--Technological innovations.

LC Class. No.: HF5415

Dewey Class. No.: 658.800285/63

AI strategy for sales and marketingconnecting marketing, sales and customer experience /
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245 1 0 $a AI strategy for sales and marketing $h [electronic resource] : $b connecting marketing, sales and customer experience / $c Katie King.
250 $a 1st ed.
260 $a London : $b Kogan Page, $c 2022.
300 $a 1 online resource (289 p.) : $b ill.
504 $a Includes bibliographical references and index.
506 $a Access restricted to authorized users and institutions.
520 $a "Marketing and sales prioritize AI and machine learning more than any other business department, yet often struggle with how to scale and strategize the opportunities it presents. AI Strategy for Sales and Marketing presents a framework for understanding how AI can boost customer-centricity and sales by creating a connected strategy that delivers value today and into the future. Supported by practical tips and advice throughout, it covers topics including personalization, upskilling, customer experience for both on and offline shopping channels and the importance of using AI responsibly to create consumer trust. Featuring original research and interviews with leading practitioners, it also contains global case studies from organizations in a range of sectors, including Samsung, LinkedIn, PwC, Rolls Royce and Hilton, with insights into the various stages of their adoption journeys. Written by a recognized industry expert, it is an invaluable resource for those wanting to benefit from using AI strategically in marketing, sales and CX"-- $c Provided by publisher.
538 $a Mode of access: World Wide Web.
588 $a Description based on print version record.
650 0 $a Marketing $x Technological innovations. $3 246425
650 0 $a Selling $x Technological innovations. $3 597067
650 0 $a Artificial intelligence. $3 194058
650 0 $a Customer relations. $3 202164
856 4 0 $u https://portal.igpublish.com/iglibrary/search/KOGANB0002282.html