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.



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.



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.



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.



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.



Data Analytics For Marketing


Data Analytics For Marketing
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Author : Guilherme Diaz-Bérrio
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-05-10

Data Analytics For Marketing written by Guilherme Diaz-Bérrio and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-10 with Computers categories.


Conduct data-driven marketing research and analysis with hands-on examples using Python by leveraging open-source tools and libraries Key Features Analyze marketing data using proper statistical techniques Use data modeling and analytics to understand customer preferences and enhance strategies without complex math Implement Python libraries like DoWhy, Pandas, and Prophet in a business setting with examples and use cases Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMost marketing professionals are familiar with various sources of customer data that promise insights for success. There are extensive sources of data, from customer surveys to digital marketing data. Moreover, there is an increasing variety of tools and techniques to shape data, from small to big data. However, having the right knowledge and understanding the context of how to use data and tools is crucial. In this book, you’ll learn how to give context to your data and turn it into useful information. You’ll understand how and where to use a tool or dataset for a specific question, exploring the "what and why questions" to provide real value to your stakeholders. Using Python, this book will delve into the basics of analytics and causal inference. Then, you’ll focus on visualization and presentation, followed by understanding guidelines on how to present and condense large amounts of information into KPIs. After learning how to plan ahead and forecast, you’ll delve into customer analytics and insights. Finally, you’ll measure the effectiveness of your marketing efforts and derive insights for data-driven decision-making. By the end of this book, you’ll understand the tools you need to use on specific datasets to provide context and shape your data, as well as to gain information to boost your marketing efforts.What you will learn Understand the basic ideas behind the main statistical models used in marketing analytics Apply the right models and tools to a specific analytical question Discover how to conduct causal inference, experimentation, and statistical modeling with Python Implement common open source Python libraries for specific use cases with immediately applicable code Analyze customer lifetime data and generate customer insights Go through the different stages of analytics, from descriptive to prescriptive Who this book is for This book is for data analysts and data scientists working in a marketing team supporting analytics and marketing research, who want to provide better insights that lead to data-driven decision-making. Prior knowledge of Python, data analysis, and statistics is required to get the most out of this book.



Ai For Marketing And Product Innovation


Ai For Marketing And Product Innovation
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Author : A. K. Pradeep
language : en
Publisher: John Wiley & Sons
Release Date : 2018-12-06

Ai For Marketing And Product Innovation written by A. K. Pradeep 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 2018-12-06 with Business & Economics categories.


Get on board the next massive marketing revolution AI for Marketing and Product Innovation offers creatives and marketing professionals a non-tech guide to artificial intelligence (AI) and machine learning (ML)—twin technologies that stand poised to revolutionize the way we sell. The future is here, and we are in the thick of it; AI and ML are already in our lives every day, whether we know it or not. The technology continues to evolve and grow, but the capabilities that make these tools world-changing for marketers are already here—whether we use them or not. This book helps you lean into the curve and take advantage of AI’s unparalleled and rapidly expanding power. More than a simple primer on the technology, this book goes beyond the “what” to show you the “how”: How do we use AI and ML in ways that speak to the human spirit? How to we translate cold technological innovation into creative tools that forge deep human connections? Written by a team of experts at the intersection of neuroscience, technology, and marketing, this book shows you the ins and outs of these groundbreaking technological tools. Understand AI and ML technology in layman’s terms Harness the twin technologies unparalleled power to transform marketing Learn which skills and resources you need to use AI and ML effectively Employ AI and ML in ways that resonate meaningfully with customers Learn practical examples of how to reinvest product innovation, brand building, targeted marketing and media measurement to connect with people and enhance ROI Discover the true impact of AI and ML from real-world examples, and learn the thinking, best practices, and metrics you need to capture this lightning and take the next massive leap in the evolution of customer connection. AI for Marketing and Product Innovation shows you everything you need to know to get on board.



The Future Of Management In An Ai World


The Future Of Management In An Ai World
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Author : Jordi Canals
language : en
Publisher: Springer Nature
Release Date : 2019-09-21

The Future Of Management In An Ai World written by Jordi Canals and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-21 with Business & Economics categories.


Artificial Intelligence (AI) is redefining the nature and principles of general management. The technological revolution is reshaping industries, disrupting existing business models, making traditional companies obsolete and creating social change. In response, the role of the manager needs to urgently evolve and adjust. Companies need to rethink their purpose, strategy, organisational design and decision-making rules. Crucially they will also need to consider how to nurture and develop the business leaders of the future and develop new ways to interact with society on issues such as privacy and trust. Containing international insights from leading figures from the world of management and technology, this book addresses the big challenges facing organisations, including: · Decision-making · Corporate strategy · People management and leadership · Organisational design Taking a holistic approach, this collection of expert voices provides valuable insight into how firms will discover and commit to what makes them unique in this new big data world, empowering them to create and sustain competitive advantage.



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.