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| digital marketing machine learning: AI in Digital Marketing Training Guide Dwayne Anderson, 2022-08-19 Are you looking to optimize Artificial Intelligence in Digital Marketing? Artificial Intelligence in Digital Marketing can be the golden ticket to creator success. Artificial intelligence is a hot topic for businesses. AI proficiencies are mounting the possibilities for how corporations approach real-time engagement with their customers, manage their processes, and make business continuity. As technology advances, corporations are finding new ways to innovate and expand. It is, therefore, no surprise that Artificial Intelligence in Digital Marketing is a growing trend in the online world. It is most definitely the future of digital marketing. It will bring human experiences closer to technology in the future. Creators and Marketers have built businesses and careers on and through optimizing AI in Digital marketing. Using Artificial Intelligence in Digital Marketing will assist brands in delivering a better-quality customer experience, marketing their brand well, and reaching the masses. As per the statistics, • 61% of marketers say artificial intelligence is the most crucial aspect of their data strategy. • 80% of business and tech innovators say AI already enhances efficiency. • Existing AI technology can improve business productivity by up to 40%. • 97% of mobile users are using AI-powered voice assistants • 83% of initial AI adopters have already attained substantial (30%) or moderate (53%) economic benefits AI would make digital advertising and marketing more targeted as well as accurate. It will assist in optimizing campaigns and deliver a better ROI than ever before. There are many reasons to believe that Artificial Intelligence in Digital Marketing is an integral part of today’s world. As a business owner, you must think of new and innovative ways to make people take notice of your products and services. With this awesome and up-to-date AI In Digital Marketing course ,it will enable you to develop a robust Artificial Intelligence Marketing strategy for your organization and create exclusive engagement to stand out, captivate your audience as well as raising profits exponentially. This guide will educate you about how Artificial intelligence is being used towards optimizing digital marketing campaigns by improvising almost all aspects, from understanding the customers well to analyzing the campaign performance. The most common uses of Artificial Intelligence in Digital Marketing are · Automation of the regular tasks and processes · Gain comprehensive customer insights · Understand the latest industry pattern as well as content creation trends · Personalization of marketing communication · Generate, nurture and convert leads Artificial Intelligence in Digital Marketing provides a robust and well-established platform with vast audiences and accessible intellectual machines and tools. It is time that your business should have practical Artificial Intelligence in your Digital Marketing strategy. Just use the tips and information we covered to get started. Using the strategy and information provided in our Mastery Guide, you will master the essentials of creating intelligent machines. So, consider getting our comprehensive and up-to-date guide jam-loaded with the latest and best-in-the-industry knowledge about Artificial Intelligence in Digital Marketing strategy. |
| digital marketing machine learning: Artificial Intelligence for Marketing Jim Sterne, 2017-08-14 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. |
| digital marketing machine learning: Contemporary Approaches of Digital Marketing and the Role of Machine Intelligence Afzal Sayed Munna, Md Sadeque Imam Shaikh, Baha Uddin Kazi, 2023 Digital marketing emerged as a natural response by companies and vendors to leverage and benefit from the significant consumer concentration on digital channels. This proliferation of IT applications and the enormous presence of customers in digital channels generate a large number of products and customer data. Machine learning and artificial intelligence are game-changing techniques in digital marketing to analyze this data. This analysis helps marketers to personalize the sales tools toward individuals, optimize their operations, and minimize expenditure. Contemporary Approaches of Digital Marketing and the Role of Machine Intelligence demonstrates relevant theories of digital marketing along with tools, techniques, methods, and strategies. It also identifies the research gaps for effective digital marketing tools, techniques, and methods and builds a bridge between digital marketing strategies and business plans for organizations. Covering topics such as digital marketing, metaverse, and visitor experience, this premier reference source is an essential resource for business leaders and managers, marketers, IT managers, data analysts, social media analysts, students and educators of higher education, researchers, and academicians. |
| digital marketing machine learning: Machine Learning and Artificial Intelligence in Marketing and Sales Niladri Syam, Rajeeve Kaul, 2021-03-10 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. |
| digital marketing machine learning: Future 1.0: Your Guide To Rule The Digital Marketing Universe with Artificial Intelligence Srinidhi Ranganathan, 2020-01-02 Subscribe to the Author Digital Marketing Legend - Srinidhi Ranganathan on YouTube. Srinidhi brings 500+ Free courses and tutorials on Digital Marketing and Artificial Intelligence (AI) futuristic technologies on YouTube: https://www.youtube.com/channel/UCXP3bY7BbMt1pXK0tPp8G4Q It’s time to think about where the digital marketing world is actually heading. The answer is quite simple and known to you - “Artificial Intelligence”. The power of Artificial Intelligence for digital marketing usage can be compared to a treasure-house of activities and it cannot be measured instantly, at all. Today, the presence of Artificial Intelligence”(AI) is common in almost every area - such as self-driving cars, machine learning, using your own personal assistants such as Siri, Alexa and others. In 2020, AI continues to take firm steps to become increasingly integral to our world. Digital marketing is indeed one of the most exciting applications for AI. Artificial Intelligence in Digital Marketing (AIDM) plays a role in making life simpler for business organisations that deploy marketing. One can rely on AI development resources and tools to simplify, cut costs, reduce manual labor etc. AI tools that function with neural networks are becoming more and more powerful. They aid in search and analysis of consumer behaviour with big data and information. Despite all these incredible technologies, the Internet seemed like a source of confusion for many. Nevertheless, today sophisticated companies are using artificial intelligence to devise digital marketing plans. Some companies use AI to get at the top of their game or grow ahead by devising brilliant digital marketing strategies— and to maintain that level. AI can save companies from spending too much money on time-bound human resources. It can speed up tasks with minimal effort, reduce your spendings on manual labour - at the same time. This book serves to be a brief insight or a very short compilation of 9 years of research that I conducted on Artificial Intelligence in Digital Marketing (AIDM). It will convey the guided method you can leverage to ‘Enter the Digital Marketing Universe with the Power of Artificial Intelligence’ with Future 1.0 techniques. Nevertheless, AI is not just about chatbots and personal helpers or assistants. You can find various forms of artificial intelligence that enable digital marketers in the field to make increasingly brilliant strategic and marketing decisions. Working on digital marketing with Artificial Intelligence projects require great practice, according to the details and research available, as far as the current scenario is concerned. Artificial intelligence is an amazing and grand asset for your company to simply work wonders. Using digital marketing tactics for AI will help brands offer enhanced customer experience and more efficiently market the brand. In addition, AI digital marketing will change the way we create brands and communicate with clients. So, get ready for Lights. Camera. Action. with Marketing Legend “Srinidhi Ranganathan”. |
| digital marketing machine learning: The Intuition Behind the Application of Machine Learning in Marketing Analytics Mario a Vinasco, 2019-07-20 Artificial Intelligence (AI) has gained tremendous fame and attention during the past 5 years; there are plenty of books, conferences and online resources, and it has become overwhelming and difficult to separate the hype from practical insights.On one side, the math behind AI can be hard to follow; on the other, the hysteria claims that AI can flip presidential elections and feed other conspiracy theories.This book presents the key insights that make AI/ML useful for marketing and demystifies the core technology and illustrates case studies where my team applied the technology.This book is for marketers and executives that want to gain insights about the use and applicability of AI in marketing and I present a simple yet non-trivial explanation of the core principles of AI.I started using machine learning (ML) models at scale in 2012 and have continued doing so. We have used ML models to help the analysis of experiments, identify cross sell opportunities, design attrition prevention initiatives and many other interesting applications.As you have noted, I am not making a distinction between AI and ML, I even include many other iterative algorithms under the umbrella of AI. The book is not a description of state-of-the-art AI, it is an end user's guide to understand its potential.I will refer to my experience during my work in the marketing analytics groups of Facebook and Uber Technologies from the years 2013 to 2019 (present). |
| digital marketing machine learning: Artificial Intelligence In Digital Marketing Of The 5 G Paradigm Shift Dwayne Anderson, 2019-11-11 There are millions of business and individuals involved in digital marketing and more getting involved every day. Most of these people know very little about Artificial intelligence ( AI ) and the impact that it will have on digital marketing. But Yet the 5 G world is already here ,what it has brought forth will be new enhancement in the following ; Big Data And Datascience Analytics Advanced Manufacturing And Smart device development Cybersecurity - Software development Urban Solutions -Smarter Cities Finance – Cryptocurrency and Bitcoin reassessment Digital Media -Augmented and VR Adoption and response Rates Entrepreneurship -Disruptive with newer Sharing concept Tech-Enabled Services - 3D printing up to 4 D printing with finite element influence option and many more 5G networks represent the next generation of mobile Internet connectivity, offering faster speeds and more reliable connections than ever before on smartphones and other devices. Combining advanced network technology and the latest research, 5G is expected to offer faster connections than current connections and It is estimated that AI and machine learning will create an additional $2.6 trillion in marketing and sales by 2020. Gartner estimates that business value created by AI will reach $3.9 trillion by the year 2022 Investment in AI systems is estimated to reach $77.6 billion by 2022. What all of this tells you is that there is a very strong interest in AI and the impact that it will have on online business. If people want to be successful with digital marketing in the future they need to be aware of the impact that AI will have and they need to know the real difference between Artificial Intelligence and Machine Learning and why it is essential to know this for future digital marketing success . Here it will give an insight : -Why one of the largest companies in the world has decided to put AI first and what this really means for digital marketers -The essential changes that you need to make to ensure that your website is in line with the requirements of the world’s largest search engine -What Big Data really is and why it is so important for digital marketers – get this wrong and you will definitely be left behind! -Why it is critical that you understand Computer Vision and why it is going to have such a massive impact on the digital marketing landscape -How chatbots are revolutionizing digital marketing and how you can take advantage of this and be more successful online -Why it is essential that you develop your AI skills and how you can easily do this using a technology that has been around for years! -How you can future proof your digital marketing and the most important thing that you must do to stay ahead of the game! |
| digital marketing machine learning: Strategic Innovative Marketing and Tourism Androniki Kavoura, Efstathios Kefallonitis, Apostolos Giovanis, 2019 This book covers a very broad range of topics in marketing, communication, and tourism, focusing especially on new perspectives and technologies that promise to influence the future direction of marketing research and practice in a digital and innovational era. Among the areas covered are product and brand management, strategic marketing, B2B marketing and sales management, international marketing, business communication and advertising, digital and social marketing, tourism and hospitality marketing and management, destination branding and cultural management, and event marketing. The book comprises the proceedings of the International Conference on Strategic Innovative Marketing and Tourism (ICSIMAT) 2018, where researchers, academics, and government and industry practitioners from around the world came together to discuss best practices, the latest research, new paradigms, and advances in theory. It will be of interest to a wide audience, including members of the academic community, MSc and PhD students, and marketing and tourism professionals. |
| digital marketing machine learning: The Future of Artificial Intelligence in Digital Marketing Maria Johnsen, 2017-09-01 Introducing The Future of Artificial Intelligence in Digital Marketing: The Next Big Technological Break – the ultimate guide for harnessing the power of AI to drive unprecedented growth in your digital marketing endeavors! Gone are the days when Artificial Intelligence (AI) belonged solely to the realm of science fiction. Today, it has become a game-changing reality that is reshaping the way I connect with my customers and achieve remarkable results. And the number one AI companion that accompanies me throughout my digital journey? None other than the Internet itself! In this groundbreaking book, I unveil the secrets behind the convergence of AI and digital marketing, empowering you to seize every opportunity and stay steps ahead of the competition. With cutting-edge insights and real-world examples, you'll discover how AI is revolutionizing search engine algorithms, transforming the way websites rank and perform. It's time for me to unlock the full potential of my online presence! The Future of Artificial Intelligence in Digital Marketing equips marketers, entrepreneurs, and social media enthusiasts like you with the knowledge you need to thrive in today's fast-paced digital landscape. Uncover proven strategies that will catapult your digital processes to new heights, propelling your brand to the forefront of the industry. But it doesn't stop there. This book explores the immense value of empathic machines in digital marketing, revealing how AI can tap into human emotions, understand consumer behavior, and create personalized experiences like never before. By humanizing my AI-powered marketing initiatives, I'll forge deep connections with my audience and cultivate unwavering brand loyalty. Don't let the future of digital marketing pass you by. The Future of Artificial Intelligence in Digital Marketing is your indispensable roadmap to navigating the AI revolution and achieving unparalleled success. Get ready to transform your digital marketing world, unlock unlimited possibilities, and leave your competitors in the dust. Are you ready to revolutionize your marketing strategies? Secure your copy of The Future of Artificial Intelligence in Digital Marketing: The Next Big Technological Break today and embark on a journey towards extraordinary growth and unstoppable success! It's time to take control of my digital destiny and embrace the power of AI to elevate my marketing game like never before. |
| digital marketing machine learning: Contemporary Approaches of Digital Marketing and the Role of Machine Intelligence Munna, Afzal Sayed, Shaikh, Md Sadeque Imam, Kazi, Baha Uddin, 2023-08-01 Digital marketing emerged as a natural response by companies and vendors to leverage and benefit from the significant consumer concentration on digital channels. This proliferation of IT applications and the enormous presence of customers in digital channels generate a large number of products and customer data. Machine learning and artificial intelligence are game-changing techniques in digital marketing to analyze this data. This analysis helps marketers to personalize the sales tools toward individuals, optimize their operations, and minimize expenditure. Contemporary Approaches of Digital Marketing and the Role of Machine Intelligence demonstrates relevant theories of digital marketing along with tools, techniques, methods, and strategies. It also identifies the research gaps for effective digital marketing tools, techniques, and methods and builds a bridge between digital marketing strategies and business plans for organizations. Covering topics such as digital marketing, metaverse, and visitor experience, this premier reference source is an essential resource for business leaders and managers, marketers, IT managers, data analysts, social media analysts, students and educators of higher education, researchers, and academicians. |
| digital marketing machine learning: The AI Marketing Canvas Raj Venkatesan, Jim Lecinski, 2021-05-18 This 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. |
| digital marketing machine learning: Machine Learning in Marketing Overview Learning Strategies Applications and Future Developments Vinicius Andrade Brei, 2020 This monograph discusses the central role that artificial intelligence and machine learning can play as a research method in the marketing field. The goal of this monograph is to provide marketing with an overview of ML and to analyze required learning, applications, and future developments involved in applying ML to marketing. |
| digital marketing machine learning: Machine Learning for Marketing Hiroshi Mamitsuka, 2019-06-14 Machine learning, now a central part of artificial intelligence, would be a driving force to change the current world to a more autonomous society. This impact of machine learning appears in many fields, for example, science, engineering, finance, agriculture, to name a few. Marketing is rather behind this trend, while marketing has a lot of potential applications for machine learning. In other words, marketing may change into more autonomous scientific work by using data and also proper formulation of each application into a machine learning problem. This book focuses on two major, traditional paradigms of marketing: target marketing and relationship marketing. Then it is revealed that each of numerous aspects of the two marketing paradigms can be formulated into a machine learning problem. That is, for each problem, a machine learning model can be built and parameters of the model can be estimated/optimized from given data. For example, an important objective of target marketing can be interpreted as a problem of finding a customer segment, which has a plenty of customers but no competitors. This problem can be formulated into a machine learning problem for which a model is built and model parameters can be estimated from given data. This book, for each machine learning problem setting, always builds a simpler (probably simplest) model, so that readers can understand the idea and assumption of the model easily. This book would be useful for both sides of marketing and machine learning. That is, marketers would be able to study the way of formulating a problem of marketing into a machine learning problem/function in which parameters are estimated from given data. On the other hand, machine learners would be able to study applications of marketing and also essential and intuitive ideas behind marketing through numerous applications in this book. |
| digital marketing machine learning: AI in Marketing, Sales and Service Peter Gentsch, 2018-10-22 AI and Algorithmics have already optimized and automated production and logistics processes. Now it is time to unleash AI on the administrative, planning and even creative procedures in marketing, sales and management. This book provides an easy-to-understand guide to assessing the value and potential of AI and Algorithmics. It systematically draws together the technologies and methods of AI with clear business scenarios on an entrepreneurial level. With interviews and case studies from those cutting edge businesses and executives who are already leading the way, this book shows you: how customer and market potential can be automatically identified and profiled; how media planning can be intelligently automated and optimized with AI and Big Data; how (chat)bots and digital assistants can make communication between companies and consumers more efficient and smarter; how you can optimize Customer Journeys based on Algorithmics and AI; and how to conduct market research in more efficient and smarter way. A decade from now, all businesses will be AI businesses – Gentsch shows you how to make sure yours makes that transition better than your competitors. |
| digital marketing machine learning: Digital and Social Media Marketing Nripendra P. Rana, Emma L. Slade, Ganesh P. Sahu, Hatice Kizgin, Nitish Singh, Bidit Dey, Anabel Gutierrez, Yogesh K. Dwivedi, 2019-11-11 This book examines issues and implications of digital and social media marketing for emerging markets. These markets necessitate substantial adaptations of developed theories and approaches employed in the Western world. The book investigates problems specific to emerging markets, while identifying new theoretical constructs and practical applications of digital marketing. It addresses topics such as electronic word of mouth (eWOM), demographic differences in digital marketing, mobile marketing, search engine advertising, among others. A radical increase in both temporal and geographical reach is empowering consumers to exert influence on brands, products, and services. Information and Communication Technologies (ICTs) and digital media are having a significant impact on the way people communicate and fulfil their socio-economic, emotional and material needs. These technologies are also being harnessed by businesses for various purposes including distribution and selling of goods, retailing of consumer services, customer relationship management, and influencing consumer behaviour by employing digital marketing practices. This book considers this, as it examines the practice and research related to digital and social media marketing. |
| digital marketing machine learning: The Use of Artificial Intelligence in Digital Marketing: Competitive Strategies and Tactics Teixeira, Sandrina, Remondes, Jorge, 2023-11-17 In today's rapidly evolving landscape, AI has become an indispensable tool for organizations seeking to enhance their understanding of customers, boost productivity, and foster stronger connections with their target audience. The Use of Artificial Intelligence in Digital Marketing: Competitive Strategies and Tactics is a comprehensive and timely exploration of the integration of artificial intelligence (AI) into the field of digital marketing. Authored by experts in the field, this book delves into the profound and far-reaching changes that AI is bringing to the digital marketing arena. It provides a detailed examination of how organizations can leverage AI technologies to gain a competitive edge in the market. By mastering these new technologies, companies can effectively navigate the dynamic digital landscape, optimize their marketing strategies, and deliver highly personalized content to their customers. Ideal for a wide range of audiences, including researchers, teachers, students, and executives, this book serves as a vital resource for those seeking to stay ahead of the curve in the ever-evolving world of digital marketing. Through its comprehensive coverage of AI applications in the field, it equips readers with the knowledge and insights necessary to make informed decisions, develop effective marketing strategies, and drive business growth. |
| digital marketing machine learning: The Impact of AI in Digital Marketing, by Samuel Arakel Samuel Arakel, 2023-05-01 On the forefront of digital marketing innovation, Samuel Arakel explores the transformative impact of AI on the industry in his latest book. The book provides an overview of the impact of AI on digital marketing. It covers the definition and history of AI in marketing, the types and use cases of AI-powered marketing technologies, and the benefits of using AI in digital marketing. It also discusses the role of machine learning in digital marketing, including its applications and how it can improve digital marketing strategies. The book explores the use of personalization and customer segmentation with AI, chatbots and AI-powered customer service, predictive analytics, and the future of AI in digital marketing. The book also addresses the challenges and limitations of AI in digital marketing, such as ethical and privacy concerns and the importance of responsible use of AI. Additionally, it provides sources for further reading, including books, articles, online courses, certification programs, industry websites and blogs, and conferences and events on AI and digital marketing. |
| digital marketing machine learning: Grokking Deep Learning Andrew W. Trask, 2019-01-23 Summary Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Deep learning, a branch of artificial intelligence, teaches computers to learn by using neural networks, technology inspired by the human brain. Online text translation, self-driving cars, personalized product recommendations, and virtual voice assistants are just a few of the exciting modern advancements possible thanks to deep learning. About the Book Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Using only Python and its math-supporting library, NumPy, you'll train your own neural networks to see and understand images, translate text into different languages, and even write like Shakespeare! When you're done, you'll be fully prepared to move on to mastering deep learning frameworks. What's inside The science behind deep learning Building and training your own neural networks Privacy concepts, including federated learning Tips for continuing your pursuit of deep learning About the Reader For readers with high school-level math and intermediate programming skills. About the Author Andrew Trask is a PhD student at Oxford University and a research scientist at DeepMind. Previously, Andrew was a researcher and analytics product manager at Digital Reasoning, where he trained the world's largest artificial neural network and helped guide the analytics roadmap for the Synthesys cognitive computing platform. Table of Contents Introducing deep learning: why you should learn it Fundamental concepts: how do machines learn? Introduction to neural prediction: forward propagation Introduction to neural learning: gradient descent Learning multiple weights at a time: generalizing gradient descent Building your first deep neural network: introduction to backpropagation How to picture neural networks: in your head and on paper Learning signal and ignoring noise:introduction to regularization and batching Modeling probabilities and nonlinearities: activation functions Neural learning about edges and corners: intro to convolutional neural networks Neural networks that understand language: king - man + woman == ? Neural networks that write like Shakespeare: recurrent layers for variable-length data Introducing automatic optimization: let's build a deep learning framework Learning to write like Shakespeare: long short-term memory Deep learning on unseen data: introducing federated learning Where to go from here: a brief guide |
| digital marketing machine learning: AI in Digital Marketing Maria Johnsen, 2024-08-19 This book presents a comprehensive and innovative exploration of the role of Artificial Intelligence (AI) in the digital marketing arena. It begins with historical context and fundamental AI principles, and subsequently, details AI's applications across a spectrum of areas, including data analytics, content creation, customer targeting, Search Engine Optimization (SEO), Pay Per Click (PPC) advertising, Social Media Marketing (SMM), and Email Marketing. A distinctive feature lies in the author's extensive real-world experience, providing many useful business applications of AI. The book is designed for marketing professionals, business executives, educators, and students, and offers numerous examples and case studies. |
| digital marketing machine learning: Data-Driven Marketing with Artificial Intelligence Martin Wass, Magnus Unemyr, 2018-06-06 The marketing industry is being disrupted right before of our eyes, and the new technological revolution will transform our world. Artificial intelligence is set to change everything we know about marketing and how we interact with customers. Business leaders need to pay attention, or they risk being left behind. Artificial intelligence will drive a massive shift in business models, and will profoundly change how businesses and customers communicate. Staying at the forefront of these changes is essential for any business to stay competitive. Data-Driven Marketing with Artificial Intelligence is the definitive guide to understanding and using AI in marketing. It is essential reading for corporate and marketing leaders, and anyone seeking to understand how artificial intelligence will lead us into the world of tomorrow. Featuring discussions with dozens of industry leaders, it provides both an overview of how AI will continue to affect online marketing, and details of how to implement these new tools into your business. Learn how traditional marketing strategies are being replaced by autonomous, data-driven, and self-optimizing systems capable of providing more relevance to each customer, improving loyalty, and ultimately increasing the bottom line. After reading this book, you will understand these key topics: * The disruption that artificial intelligence and other emerging technologies will have on marketing, sales, and the industries that surround them * The latest AI-based software tools and what they can do for marketers today * Using big data, predictive analytics, and machine learning in marketing * How to develop and implement your own custom AI software * The risks AI hold for your job or business * How new technologies, beyond AI, will disrupt marketing even further * The legal and ethical aspects of using artificial intelligence systems Leading experts and technology CEOs believe that soon, nearly every decision we make will be influenced by AI technology. Marketing is no exception, and it will see changes faster and with wider adoption than any other. In an AI-enabled world, companies will have to adjust to new purchase patterns to stay in business. Learning about and implementing AI tools will keep your business on the forefront of the next technological revolution--while the rest play catch up. Buy the book now to jump into the world of artificial intelligence and stay one step ahead of the competition! |
| digital marketing machine learning: AI for Marketing and Product Innovation A. K. Pradeep, Andrew Appel, Stan Sthanunathan, 2018-11-26 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. |
| digital marketing machine learning: Proceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI - 2019) A. Pasumpon Pandian, Ram Palanisamy, Klimis Ntalianis, 2020-03-04 This book presents the proceedings of the International Conference on Computing Networks, Big Data and IoT [ICCBI 2019], held on December 19–20, 2019 at the Vaigai College of Engineering, Madurai, India. Recent years have witnessed the intertwining development of the Internet of Things and big data, which are increasingly deployed in computer network architecture. As society becomes smarter, it is critical to replace the traditional technologies with modern ICT architectures. In this context, the Internet of Things connects smart objects through the Internet and as a result generates big data. This has led to new computing facilities being developed to derive intelligent decisions in the big data environment. The book covers a variety of topics, including information management, mobile computing and applications, emerging IoT applications, distributed communication networks, cloud computing, and healthcare big data. It also discusses security and privacy issues, network intrusion detection, cryptography, 5G/6G networks, social network analysis, artificial intelligence, human–machine interaction, smart home and smart city applications. |
| digital marketing machine learning: AI-Driven Intelligent Models for Business Excellence Samala Nagaraj, Korupalli V. Rajesh Kumar, 2022 As digital technology is taking the world in a revolutionary way and business related aspects are getting smarter this book is a potential research source on the Artificial Intelligence-based Business Applications and Intelligence-- |
| digital marketing machine learning: Hands-On Data Science for Marketing Yoon Hyup Hwang, 2019-03-29 Optimize your marketing strategies through analytics and machine learning Key FeaturesUnderstand how data science drives successful marketing campaignsUse machine learning for better customer engagement, retention, and product recommendationsExtract insights from your data to optimize marketing strategies and increase profitabilityBook Description Regardless of company size, the adoption of data science and machine learning for marketing has been rising in the industry. With this book, you will learn to implement data science techniques to understand the drivers behind the successes and failures of marketing campaigns. This book is a comprehensive guide to help you understand and predict customer behaviors and create more effectively targeted and personalized marketing strategies. This is a practical guide to performing simple-to-advanced tasks, to extract hidden insights from the data and use them to make smart business decisions. You will understand what drives sales and increases customer engagements for your products. You will learn to implement machine learning to forecast which customers are more likely to engage with the products and have high lifetime value. This book will also show you how to use machine learning techniques to understand different customer segments and recommend the right products for each customer. Apart from learning to gain insights into consumer behavior using exploratory analysis, you will also learn the concept of A/B testing and implement it using Python and R. By the end of this book, you will be experienced enough with various data science and machine learning techniques to run and manage successful marketing campaigns for your business. What you will learnLearn how to compute and visualize marketing KPIs in Python and RMaster what drives successful marketing campaigns with data scienceUse machine learning to predict customer engagement and lifetime valueMake product recommendations that customers are most likely to buyLearn how to use A/B testing for better marketing decision makingImplement machine learning to understand different customer segmentsWho this book is for If you are a marketing professional, data scientist, engineer, or a student keen to learn how to apply data science to marketing, this book is what you need! It will be beneficial to have some basic knowledge of either Python or R to work through the examples. This book will also be beneficial for beginners as it covers basic-to-advanced data science concepts and applications in marketing with real-life examples. |
| digital marketing machine learning: Encyclopedia of Data Science and Machine Learning Wang, John, 2023-01-20 Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians. |
| digital marketing machine learning: Artificial Intelligence based Online Marketing Ms.Hridayama Dev Varm, Mrs. Neglur Indrani Sudhindra, Mr. Surjadeep Dutta, 2024-04-03 Ms.Hridayama Dev Varma, Senior Research Scholar, Faculty of Management, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, Tamil Nadu, India. Mrs. Neglur Indrani Sudhindra , Full Time Research Scholar , Faculty of Management , SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, Tamil Nadu, India . Mr. Surjadeep Dutta,Senior Research Scholar, Faculty of Management, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, Tamil Nadu, India. |
| digital marketing machine learning: Artificial Intelligence Harvard Business Review, 2019 Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business. |
| digital marketing machine learning: Artificial Intelligence Marketing and Predicting Consumer Choice Steven Struhl, 2017-04-03 The ability to predict consumer choice is a fundamental aspect to success for any business. In the context of artificial intelligence marketing, there are a wide array of predictive analytic techniques available to achieve this purpose, each with its own unique advantages and disadvantages. Artificial Intelligence Marketing and Predicting Consumer Choice serves to integrate these widely disparate approaches, and show the strengths, weaknesses, and best applications of each. It provides a bridge between the person who must apply or learn these problem-solving methods and the community of experts who do the actual analysis. It is also a practical and accessible guide to the many remarkable advances that have been recently made in this fascinating field. Online resources: bonus chapters on AI, ensembles and neural nets, and finishing experiments, plus single and multiple product simulators. |
| digital marketing machine learning: AI-Driven Marketing Research and Data Analytics Masengu, Reason, Chiwaridzo, Option Takunda, Dube, Mercy, Ruzive, Benson, 2024-04-22 The surge in technological advancements, coupled with the exponential growth of data, has left marketers grappling with the need for a paradigm shift. The once-established methods of consumer engagement are now overshadowed by the complexities of the digital age, demanding a profound understanding of artificial intelligence (AI) and data analytics. The gap between academic knowledge and practical applications in the field of marketing has widened, leaving industry professionals, educators, and students seeking a comprehensive resource to navigate the intricacies of this transformative era. AI-Driven Marketing Research and Data Analytics is a groundbreaking book that serves as a beacon for marketers, educators, and industry leaders alike. With a keen focus on the symbiotic relationship between AI, data analytics, and marketing research, this book bridges the gap between theory and practice. It not only explores the historical evolution of marketing but also provides an innovative examination of how AI and data analytics are reshaping the landscape. Through real-time case studies, ethical considerations, and in-depth insights, the book offers a holistic solution to the challenges faced by marketing professionals in the digital age. |
| digital marketing machine learning: Advances in Digital Marketing in the Era of Artificial Intelligence Moez Ltifi, 2024-07-12 This book highlights the technological advances that are transforming the future of digital marketing and covers important areas of research in this field. The book demonstrates advances in digital marketing as well as tools, techniques, methods and strategies based on artificial intelligence. It also identifies gaps in research into effective digital marketing tools, techniques and methods, and it bridges the interaction between digital marketing strategies and organisations’ business plans, on the one hand, and customer relations, on the other, in the age of artificial intelligence. This book presents the concepts and applications of digital marketing in the age of artificial intelligence to readers in a comprehensive manner. The book highlights the major breakthroughs and technologies in digital marketing for effective interaction, analysis, prediction and design to formulate the best strategy for a business by using artificial intelligence solutions. This enables specialists to apply advances in digital marketing in the age of artificial intelligence in the right way to serve customers and solve business problems in this competitive age. Covering the intersection of marketing and artificial intelligence, this book is a first-rate reference and an indispensable resource for business leaders, academics, salespeople, marketing professionals, managers, business owners, researchers, practitioners, instructors, college and university libraries, students, consultants, businesspeople, computer scientists, and customer-focused institutions. |
| digital marketing machine learning: Introduction to Digital Marketing 101 Cecilia Figueroa, 2019-09-17 Skyrocket your business goals with this hands on guide DESCRIPTION Social media marketing has stemmed from peopleÕs communication habits. Nowadays, social networking platforms are essential in practice, even in marketing. To understand the changes and transformations the field of marketing has undergone until now, it is important to know its origin. This complete guide will help you start selling and marketing your business by teaching you both SEO/SEM and web usability. You will learn the analytical part of Google Analytics and online advertising through Google AdWords. This book will introduce you to Web 2.0, and at the end of it, you may also want to make a career change to digital marketing! Ê _Ê Ê Ê Have you ever wondered how you can work smart with products that offer a range of essential applications for businesses? _Ê Ê Ê What are the prerequisites for a successful business?Ê _Ê Ê Ê What will happen if your company does not use digital marketing for your business? _Ê Ê Ê Do you know what are the newest and best technologies, applications, web tools, and virtual customer relationship management products that your competitors are using right now to work smarter and more efficiently?Ê KEY FEATURES _Ê Ê Ê Online advertising _Ê Ê Ê Online marketing campaigns _Ê Ê Ê Mail marketing _Ê Ê Ê Website marketing _Ê Ê Ê Opt-in email _Ê Ê Ê Mobile marketing _Ê Ê Ê Marketing data _Ê Ê Ê Digital strategy _Ê Ê Ê Consumer marketing ÊWHAT WILL YOU LEARN _Ê Ê Ê Design, organize, and monitor strategies. _Ê Ê Ê Optimize your website SEO. _Ê Ê Ê Create, manage, and evaluate Google Ads campaigns, and display advertising and payment campaigns. _Ê Ê Ê Integrate mobile marketing and mail marketing campaigns. _Ê Ê Ê Use Google Analytics. _Ê Ê Ê Improve the accessibility and usability of a website and UX. _Ê Ê Ê Stand out on LinkedIn. _Ê Ê Ê Apply Big data and machine learning to digital marketing. WHO THIS BOOK IS FOR Anyone who, for personal, academic, and/or professional reasons, wants to learn the basics of digital marketing. It is also a good start for marketers who would like to know their audiences and define strategies that best suit them. ÊTable of Contents 1. Define your audience: Marketing plan & value proposition. 2. Content strategy: Key process to improve content creation. 3. Use social media for your business. 4. Social ads: Make people think and talk. 5. SEO for beginners: Title, URL, & CTR 6. Search engine marketing (SEM): Position your brand in the market (PPC & paid search) 7. Display advertising to target your audience: Facebook, target audience, keywords, & search terms. 8. Create a campaign with email marketing: Segmentation, email automatization, split test, A/B testing, & optimization. 9. Analyze what people do in your website: Google Analytics & Big data. 10. Launch your career in digital marketing: Digital Marketing jobs, LinkedIn, networking, Big data, machine learning, & elevator pitch |
| digital marketing machine learning: Approaches and Applications of Deep Learning in Virtual Medical Care Zaman, Noor, Gaur, Loveleen, Humayun, Mamoona, 2022-02-25 The recent advancements in the machine learning paradigm have various applications, specifically in the field of medical data analysis. Research has proven the high accuracy of deep learning algorithms, and they have become a standard choice for analyzing medical data, especially medical images, video, and electronic health records. Deep learning methods applied to electronic health records are contributing to understanding the evolution of chronic diseases and predicting the risk of developing those diseases. Approaches and Applications of Deep Learning in Virtual Medical Care considers the applications of deep learning in virtual medical care and delves into complex deep learning algorithms, calibrates models, and improves the predictions of the trained model on medical imaging. Covering topics such as big data and medical sensors, this critical reference source is ideal for researchers, academicians, practitioners, industry professionals, hospital workers, scholars, instructors, and students. |
| digital marketing machine learning: Artificial Intelligence for Marketing Management Park Thaichon, Sara Quach, 2022-11-10 Artificial intelligence (AI) has driven businesses to adopt new business practices rapidly, enhance product development and services, has helped to power AI-based market intelligence and customer insights, and improve customer relationship management. This timely book addresses the use of AI in marketing. This book also explores the dark side of AI in marketing management and discusses ethics and transparency of automated decision-making in AI applications, data privacy, cyber security issues, and biases in various facets of marketing. Emerging applications of AI such as DeepFakes which use deep learning technology could increase risks of manipulation and deception. Hence, apart from leveraging AI capabilities and advantages, the book cautions the need for prevention strategies to deal with potential issues that could arise from the adoption of AI in marketing management. This book will provide practical insights into the role of AI in marketing management. It will be a useful reference for those researching marketing and marketing professionals. |
| digital marketing machine learning: Lean AI Lomit Patel, 2020-01-30 How can startups successfully scale customer acquisition and revenue growth with a Lean team? Out-of-the-box acquisition solutions from Facebook, Google, and others provide a good start, but the companies that can tailor those solutions to meet their specific needs, objectives, and goals will come out winners. But that hasn’t been an easy task—until now. With this practical book, author Lomit Patel shows you how to use AI and automation to provide an operational layer atop those acquisition solutions to deliver amazing results for your company. You’ll learn how to adapt, customize, and personalize cross-channel user journeys to help your company attract and retain customers—to usher in the new age of Autonomous Marketing. Learn how AI and automation can support the customer acquisition efforts of a Lean Startup Dive into Customer Acquisition 3.0, an initiative for gaining and retaining customers Explore ways to use AI for marketing purposes Understand the key metrics for determining the growth of your startup Determine the right strategy to foster user acquisition in your company Manage the increased complexity and risk inherent in AI projects |
| digital marketing machine learning: Introduction to Algorithmic Marketing Ilya Katsov, 2017-12 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. |
| digital marketing machine learning: Business Intelligence and Analytics Ramesh Sharda, Efraim Turban, Dursun Delen, 2014-02-28 Decision Support and Business Intelligence Systems provides the only comprehensive, up-to-date guide to today's revolutionary management support system technologies, and showcases how they can be used for better decision-making. The 10th edition focuses on Business Intelligence (BI) and analytics for enterprise decision support in a more streamlined book. |
| digital marketing machine learning: Optimizing Digital Solutions for Hyper-Personalization in Tourism and Hospitality Gustavo, Nuno, Pronto, João, Carvalho, Luísa, Belo, Miguel, 2022-02-19 As hyper-personalization has yet to be perfected, developing hyper-personalized strategies presents a critical challenge; due to this, optimizing hyper-personalization and designing new processes and business models takes center stage in tourism and hospitality to reach new levels of customer service and experience through the introduction and development of new solutions supported in the internet of things, software interfaces, artificial intelligence solutions, back-end and front-end management tools, and other emergent business intelligence strategies. Optimizing Digital Solutions for Hyper-Personalization in Tourism and Hospitality serves as an essential reference source that emphasizes the importance of hyper-personalization models, processes, strategies, and issues within tourism and hospitality fields with a particular focus on digital IT solutions. More than a simple starting point for a critical reflection on the state of the art of this sector, this book aims to contribute in an objective way to leveraging digital solutions to optimize the concept of hyper-personalization in the tourist experience. The content of this book covers research topics that include digital tourism and hospitality, consumer behavior, customer journey, and smart technologies and is ideal for professionals, executives, hotel managers, event coordinators, restaurateurs, travel agents, tour directors, policymakers, government officials, industry professionals, researchers, students, and academicians in the fields of tourism and hospitality management, marketing, and communications. |
| digital marketing machine learning: Digital and Social Media Marketing Aleksej Heinze, Gordon Fletcher, Tahir Rashid, Ana Cruz, 2016-11-18 Digital and Social Media Marketing: A Results-Driven Approach is an exciting new industry-led, research-informed and results-driven guide to digital commerce. Its examples draw from SMEs and from Europe to offer a unique perspective for those learning about digital marketing and, having been developed in close collaboration with the Search Engine Marketing Trade Association (SEMTA), it is a reliable source of prevailing industry standards for practitioners at the cutting edge of their trade. Unlike other digital marketing texts, this accessible textbook gives special consideration to the ethical challenges raised by an increasingly digital world. Equally unique is the book’s Digital Business Maturity Model, which offers organisations a clear roadmap for understanding their relative levels of technology adoption. Embracing the true spirit of Digital and Social Media Marketing, the book will be the first of its kind in this field with digital learning materials, case studies and exercises available in a supporting Massive Open Online Course (MOOC). The MOOC will enhance learners’ experience and create an interactive international learning community. This book will provide a hands on, accessible and user friendly platform to turn skills and knowledge into strategic advantage. Ideal for postgraduate learners, instructors interested in providing a unique and up-to-date learning experience and for SMEs and practitioners aiming to be at the cutting edge of Digital and Social Media Marketing. |
| digital marketing machine learning: Digital Marketing Dr. K R Kumar, Dr. S. Sudhakar, Dr.G.Vani, |
| digital marketing machine learning: Foundations of Digital Marketing Animesh Sharma, 2022-09-06 This book explains the basic principles of digital marketing and helps with the understanding of search engines, and how search engines work and also it helps to understand website development and web design concepts in easy language and to make your website search engine-based optimization and search engine marketing. This book also helps to make a better understanding of different top social media platforms, social media marketing, mobile apps, affiliate marketing, e-mail, video marketing, search engine ads, and social media campaigns. |
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AI in digital marketing involves the use of intelligent systems to …
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