Introduction To Algorithmic Marketing


Introduction To Algorithmic Marketing
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Introduction To Algorithmic Marketing


Introduction To Algorithmic Marketing
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Author : Ilya Katsov
language : en
Publisher:
Release Date : 2017-12

Introduction To Algorithmic Marketing written by Ilya Katsov and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12 with categories.


A comprehensive guide to advanced marketing automation for marketing strategists, data scientists, product managers, and software engineers. The book covers the main areas of marketing that require programmatic micro-decisioning - targeted promotions and advertisements, eCommerce search, recommendations, pricing, and assortment optimization.



Artificial Intelligence For Marketing


Artificial Intelligence For Marketing
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Author : Jim Sterne
language : en
Publisher: John Wiley & Sons
Release Date : 2017-08-14

Artificial Intelligence For Marketing written by Jim Sterne and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-14 with Business & Economics categories.


A straightforward, non-technical guide to the next major marketing tool Artificial Intelligence for Marketing presents a tightly-focused introduction to machine learning, written specifically for marketing professionals. This book will not teach you to be a data scientist—but it does explain how Artificial Intelligence and Machine Learning will revolutionize your company's marketing strategy, and teach you how to use it most effectively. Data and analytics have become table stakes in modern marketing, but the field is ever-evolving with data scientists continually developing new algorithms—where does that leave you? How can marketers use the latest data science developments to their advantage? This book walks you through the "need-to-know" aspects of Artificial Intelligence, including natural language processing, speech recognition, and the power of Machine Learning to show you how to make the most of this technology in a practical, tactical way. Simple illustrations clarify complex concepts, and case studies show how real-world companies are taking the next leap forward. Straightforward, pragmatic, and with no math required, this book will help you: Speak intelligently about Artificial Intelligence and its advantages in marketing Understand how marketers without a Data Science degree can make use of machine learning technology Collaborate with data scientists as a subject matter expert to help develop focused-use applications Help your company gain a competitive advantage by leveraging leading-edge technology in marketing Marketing and data science are two fast-moving, turbulent spheres that often intersect; that intersection is where marketing professionals pick up the tools and methods to move their company forward. Artificial Intelligence and Machine Learning provide a data-driven basis for more robust and intensely-targeted marketing strategies—and companies that effectively utilize these latest tools will reap the benefit in the marketplace. Artificial Intelligence for Marketing provides a nontechnical crash course to help you stay ahead of the curve.



The Theory And Practice Of Enterprise Ai


The Theory And Practice Of Enterprise Ai
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Author : Ilya Katsov
language : en
Publisher: Ilya Katsov
Release Date : 2022-07-30

The Theory And Practice Of Enterprise Ai written by Ilya Katsov and has been published by Ilya Katsov this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-30 with categories.


This book provides a comprehensive guide to how marketing, supply chain, and production operations can be improved using deep learning and reinforcement learning methods, as well as their combination with traditional analytics and optimization approaches. The book is written for enterprise data scientists and analytics managers, and will also be useful for graduate students in operations research and applied statistics. The Theory and Practice of Enterprise AI is divided into five parts. Part I introduces basic concepts of enterprise decision automation and presents relevant deep and reinforcement learning methods. Part II presents recipes for customer analytics and personalization. Part III describes search and recommendation solutions that extensively leverage content data such as texts and images. Part IV discusses methods for price optimization and inventory management. Finally, Part V presents blueprints for anomaly detection and visual inspection that help to improve production and transportation operations. Python code examples are provided in the complementary online repository to support the reader's understanding of the implementation details.



Ai For Marketers


Ai For Marketers
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Author : Christopher Penn
language : en
Publisher:
Release Date : 2021-03-07

Ai For Marketers written by Christopher Penn and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-07 with categories.


The march of artificial intelligence (AI) is relentless, and in marketing, nearly every software vendor is promising it in some fashion. But what does AI truly mean, and how does it apply to your work?In this expanded and improved third edition, marketers will learn even more examples and applications of AI as it applies to modern marketing. From attribution analysis to topic modeling to forecasting, learn how AI is already impacting the work you do and how it will change the fundamentals of marketing.You'll also learn how to prepare your company or organization for AI, how to prepare your career for AI (and whose jobs are most at risk), and the many, many things AI cannot do - and probably won't for some time.When you're done reading this book, you'll have a strong sense of what's possible with AI and machine learning when it comes to marketing, a blueprint for how to integrate it into your company, and perhaps even a desire to try it out for yourself. You'll be able to see through AI sales pitches from vendors and talk a little bit of shop with data scientists and AI engineers.



Algorithmic Marketing And Eu Law On Unfair Commercial Practices


Algorithmic Marketing And Eu Law On Unfair Commercial Practices
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Author : Federico Galli
language : en
Publisher: Springer Nature
Release Date : 2022-08-30

Algorithmic Marketing And Eu Law On Unfair Commercial Practices written by Federico Galli and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-30 with Law categories.


Artificial Intelligence (AI) systems are increasingly being deployed by marketing entities in connection with consumers’ interactions. Thanks to machine learning (ML) and cognitive computing technologies, businesses can now analyse vast amounts of data on consumers, generate new knowledge, use it to optimize certain processes, and undertake tasks that were previously impossible. Against this background, this book analyses new algorithmic commercial practices, discusses their challenges for consumers, and measures such developments against the current EU legislative framework on consumer protection. The book adopts an interdisciplinary approach, building on empirical findings from AI applications in marketing and theoretical insights from marketing studies, and combining them with normative analysis of privacy and consumer protection in the EU. The content is divided into three parts. The first part analyses the phenomenon of algorithmic marketing practices and reviews the main AI and AI-related technologies used in marketing, e.g. Big data, ML and NLP. The second part describes new commercial practices, including the massive monitoring and profiling of consumers, the personalization of advertising and offers, the exploitation of psychological and emotional insights, and the use of human-like interfaces to trigger emotional responses. The third part provides a comprehensive analysis of current EU consumer protection laws and policies in the field of commercial practices. It focuses on two main legal concepts, their shortcomings, and potential refinements: vulnerability, understood as the conceptual benchmark for protecting consumers from unfair algorithmic practices; manipulation, the substantive legal measure for drawing the line between fair and unfair practices.



How And What Marketing Algorithms Think


How And What Marketing Algorithms Think
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Author : Roberto Brognara
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2022-10-27

How And What Marketing Algorithms Think written by Roberto Brognara and has been published by Cambridge Scholars Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-27 with Business & Economics categories.


This book argues that the apparent omnipotence of algorithms today is not what it seems, particularly, in marketing, where they actually offer less than they could. Considering the reasons behind this, it also notes that Big Data has relaunched a kind of data glorification and automated procedures that, culturally, marketing has already recognized and overcome at least once. This first generation of “programmatic marketing”, which the giants of the digital economy launched 15 years ago and consolidated worldwide, can be significantly improved, with corresponding business results as well, but, first, as this book shows, we need to know which strategic and cultural boundaries impact Big Data.



Artificial Intelligence For Business Analytics


Artificial Intelligence For Business Analytics
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Author : Felix Weber
language : en
Publisher: Springer Nature
Release Date : 2023-03-01

Artificial Intelligence For Business Analytics written by Felix Weber and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-01 with Computers categories.


While methods of artificial intelligence (AI) were until a few years ago exclusively a topic of scientific discussions, today they are increasingly finding their way into products of everyday life. At the same time, the amount of data produced and available is growing due to increasing digitalization, the integration of digital measurement and control systems, and automatic exchange between devices (Internet of Things). In the future, the use of business intelligence (BI) and a look into the past will no longer be sufficient for most companies.Instead, business analytics, i.e., predictive and predictive analyses and automated decisions, will be needed to stay competitive in the future. The use of growing amounts of data is a significant challenge and one of the most important areas of data analysis is represented by artificial intelligence methods.This book provides a concise introduction to the essential aspects of using artificial intelligence methods for business analytics, presents machine learning and the most important algorithms in a comprehensible form using the business analytics technology framework, and shows application scenarios from various industries. In addition, it provides the Business Analytics Model for Artificial Intelligence, a reference procedure model for structuring BA and AI projects in the company. This book is a translation of the original German 1st edition Künstliche Intelligenz für Business Analytics by Felix Weber, published by Springer Fachmedien Wiesbaden GmbH, part of Springer Nature in 2020. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors.



Building Ai Driven Marketing Capabilities


Building Ai Driven Marketing Capabilities
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Author : Neha Zaidi
language : en
Publisher: Apress
Release Date : 2024-02-26

Building Ai Driven Marketing Capabilities written by Neha Zaidi and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-26 with Computers categories.


This book provides insight into technologies that offer competitive advantage in marketing. These technologies can help us with describing and predicting customer behavior with the help of analytics, designing of radical products, creating of meaningful value, optimization of distribution, informing and promoting solutions, and making marketing more effective overall by aligning marketing with business goals. A range of technologies, such as analytics, big data, artificial intelligence, IoT, machine learning are expected to transform future businesses. Understanding customer needs, matching them to solutions and delivering value can all be dramatically optimized with the help of technology. Businesses need to realize that AI has already made inroads in marketing and can be expected to wield its influence across functional areas in the foreseeable future. The business world is headed towards acceptance of technology to synthesize knowledge by interpreting diverse information and facilitating decision making. This book is an attempt to reflect deployment of technologies across businesses and sectors. As the functional discipline comes together, harnessing a gamut of technologies becomes indispensable to deliver a superior customer experience and driving profits. Marketers should thus adopt the concepts of openness, convergence, and creation of value through new emerging technologies. A resultant hyper connected market will thus have to adopt innovative changes in its existing processes and services. The proposed book offers its readers an insight into technological interventions in various aspects of marketing domain. From understanding various technologies as an enabler to marketing efforts and its impact on decision making and mapping of various facets of customer experience, this book is recommended for marketers and learners to understand the advantages of using technology. What You Will Learn The developments and applications of Artificial Intelligence in marketing The precise, practical framework necessary to discover, utilize, and embrace AI potential to optimize the outcomes for company growth Automation and optimization of media planning through AI Who This Book is For The book is designed for marketers, academicians, business professionals, data scientists, practitioners, and researchers.



Ai For Marketers An Introduction And Primer


Ai For Marketers An Introduction And Primer
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Author : Christopher Penn
language : en
Publisher:
Release Date : 2019-02

Ai For Marketers An Introduction And Primer written by Christopher Penn and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02 with categories.


In this all-new, completely rewritten edition, you'll see the future of marketing as AI changes it forever. What's inside?- You'll explore what AI is and isn't- What questions marketers should be asking of vendors- The different types of machine learning- What great data is- 5 practical applications of AI for marketing- What it will take for you to succeed on your journey to AI-powered marketingPlus, discover who should and shouldn't pursue a career in AI and machine learning - and get a shortlist of valuable resources for getting started.



Machine Learning And Artificial Intelligence In Marketing And Sales


Machine Learning And Artificial Intelligence In Marketing And Sales
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Author : Niladri Syam
language : en
Publisher: Emerald Group Publishing
Release Date : 2021-03-10

Machine Learning And Artificial Intelligence In Marketing And Sales written by Niladri Syam and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-10 with Business & Economics categories.


Machine Learning and Artificial Intelligence in Marketing and Sales explores the ideas, and the statistical and mathematical concepts, behind Artificial Intelligence (AI) and machine learning models, as applied to marketing and sales, without getting lost in the details of mathematical derivations and computer programming.