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Data Driven Marketing In The Age Of Artificial Intelligence


Data Driven Marketing In The Age Of Artificial Intelligence
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Data Driven Marketing In The Age Of Artificial Intelligence


Data Driven Marketing In The Age Of Artificial Intelligence
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Author : Dr. Raghava R. Gundala
language : en
Publisher: Xoffencerpublication
Release Date : 2024-03-20

Data Driven Marketing In The Age Of Artificial Intelligence written by Dr. Raghava R. Gundala and has been published by Xoffencerpublication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-20 with Business & Economics categories.


In order to maximize the effectiveness of brand communication and propel the expansion of a company, data-driven marketing is a strategic strategy that makes use of consumer data. It entails gathering, analyzing, and making use of data from a variety of sources in order to obtain insights about the behavior, tastes, and trends of different types of customers. This information is then used to create marketing strategies, messaging, and campaigns to particular audiences, which ultimately results in marketing efforts that are more personalized and successful. The expansion of online platforms and the introduction of digital technology have both played a vital role in the development of data-driven marketing. Today's organizations have access to large volumes of data that are created by interactions with customers, activity on social media platforms, visits to websites, and other digital touchpoints. The abundance of data that is available to marketers gives them with important information on the demographics, interests, purchasing history, and online activity of their target audience population. The use of data has evolved into an essential component of successful marketing campaigns in this era of digital technology. The use of data-driven marketing completely transforms the method in which firms comprehend and interact with their clientele clients.[1] Businesses have the ability to get significant insights into the behavior, tastes, and trends of their customers by using the power of data analytics. This introduction serves as a doorway to explore the ideas, practices, and advantages of data-driven marketing. It gives organizations the ability to harness data to drive growth, improve customer connections, and maintain a competitive advantage in a market that is highly competitive. We invite you to accompany us on a trip into the realm of data-driven marketing, where each click, interaction, and transaction holds the key to unlocking new possibilities and driving success. Now that we have a better understanding of data-driven marketing, we will investigate the ways in which companies may efficiently gather, analyze, and make use of data in order to personalize their marketing efforts.



Ai In Marketing Sales And Service


Ai In Marketing Sales And Service
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Author : Peter Gentsch
language : en
Publisher: Springer
Release Date : 2018-10-22

Ai In Marketing Sales And Service written by Peter Gentsch and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-22 with Computers categories.


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.



Data Driven Hr


Data Driven Hr
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Author : Bernard Marr
language : en
Publisher: Kogan Page Publishers
Release Date : 2018-04-03

Data Driven Hr written by Bernard Marr and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-03 with Business & Economics categories.


FINALIST: Business Book Awards 2019 - HR and Management Category Traditionally seen as a purely people function unconcerned with numbers, HR is now uniquely placed to use company data to drive performance, both of the people in the organization and the organization as a whole. Data-Driven HR is a practical guide which enables HR professionals to leverage the value of the vast amount of data available at their fingertips. Covering how to identify the most useful sources of data, collect information in a transparent way that is in line with data protection requirements and turn this data into tangible insights, this book marks a turning point for the HR profession. Covering all the key elements of HR including recruitment, employee engagement, performance management, wellbeing and training, Data-Driven HR examines the ways data can contribute to organizational success by, among other things, optimizing processes, driving performance and improving HR decision making. Packed with case studies and real-life examples, this is essential reading for all HR professionals looking to make a measurable difference in their organizations.



Competing In The Age Of Ai


Competing In The Age Of Ai
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Author : Marco Iansiti
language : en
Publisher: Harvard Business Press
Release Date : 2020-01-07

Competing In The Age Of Ai written by Marco Iansiti and has been published by Harvard Business Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-07 with Business & Economics categories.


"a provocative new book" — The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how "collisions" between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples—including many from the most powerful and innovative global, AI-driven competitors—and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI.



Predictive Analytics And Generative Ai For Data Driven Marketing Strategies


Predictive Analytics And Generative Ai For Data Driven Marketing Strategies
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Author : Hemachandran K
language : en
Publisher: CRC Press
Release Date : 2024-12-10

Predictive Analytics And Generative Ai For Data Driven Marketing Strategies written by Hemachandran K and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-10 with Computers categories.


In providing an in-depth exploration of cutting-edge technologies and how they are used to support data-driven marketing strategies and empower organizations to make the right decisions, Predictive Analytics and Generative AI for Data-Driven Marketing Strategies includes real-world case studies and examples from diverse marketing domains. This book demonstrates how predictive analytics and generative AI have been successfully applied to solve marketing challenges and drive tangible results. This book showcases emerging trends in predictive analytics and generative AI for marketing, and their potential impact on the future of data-driven marketing. This book is meant for professionals and scholars to gather the skills and resources to use predictive analytics and generative AI effectively for marketing strategies. This book: • Examines the different predictive analytics models and algorithms, such as regression analysis, decision trees, and neural networks, and demonstrates how they may be utilized to get insightful conclusions from marketing data. • Includes generative AI techniques, such as generative adversarial networks (GANs) and variational autoencoders (VAEs), showcasing how these techniques can generate synthetic data for marketing insights and decision-making. • Highlights the importance of data-driven marketing choices and illustrates how generative AI and predictive analytics may be quite useful in this context. • Integrates the principles of data science with marketing concepts, offering a cohesive understanding of how predictive analytics and generative AI can power data-driven marketing decisions. • Presents the recent advances in predictive analytics and generative AI and discusses how they can affect the area of data-driven marketing.



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.



Advances In Data Analytics For Influencer Marketing An Interdisciplinary Approach


Advances In Data Analytics For Influencer Marketing An Interdisciplinary Approach
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Author : Soumi Dutta
language : en
Publisher: Springer Nature
Release Date : 2024-08-23

Advances In Data Analytics For Influencer Marketing An Interdisciplinary Approach written by Soumi Dutta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-23 with Computers categories.


In the ever-evolving landscape of digital marketing, influencer marketing has emerged as a game-changer, captivating audiences and driving brand engagement like never before. However, success in this dynamic field requires more than just intuition—it demands a mastery of data analytics and an interdisciplinary approach. Introducing this groundbreaking book equips marketers, analysts, and business leaders with the tools and strategies to navigate the complexities of influencer marketing with precision and confidence. Written by leading experts in the field, this comprehensive book explores the intersection of data analytics, consumer behavior, and influencer marketing, offering a holistic perspective on this powerful marketing technique. This book equips the readers with the knowledge and tools to stay ahead of the curve and drive unparalleled success in the ever-evolving world of influencer marketing.



Data Driven Business Intelligence Systems For Socio Technical Organizations


Data Driven Business Intelligence Systems For Socio Technical Organizations
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Author : Keikhosrokiani, Pantea
language : en
Publisher: IGI Global
Release Date : 2024-04-09

Data Driven Business Intelligence Systems For Socio Technical Organizations written by Keikhosrokiani, Pantea and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-09 with Business & Economics categories.


The convergence of modern technology and social dynamics have shaped the very fabric of today’s organizations, making the role of Business Intelligence (BI) profoundly significant. Data-Driven Business Intelligence Systems for Socio-Technical Organizations delves into the heart of this transformative realm, offering an academic exploration of the tools, strategies, and methodologies that propel enterprises toward data-driven decision-making excellence. Socio-technical organizations, with their intricate interplay between human and technological components, require a unique approach to BI. This book embarks on a comprehensive journey, revealing how BI tools empower these entities to decipher the complexities of their data landscape. From user behavior to social interactions, technological systems to environmental factors, this work sheds light on the multifaceted sources of information that inform organizational strategies. Decision-makers within socio-technical organizations leverage BI insights to discern patterns, spot trends, and uncover correlations that influence operations and the intricate social dynamics within their entities. Research covering real-time monitoring and predictive analytics equips these organizations to respond swiftly to demands and anticipate future trends, harnessing the full potential of data. The book delves into their design, development, and architectural nuances, illuminating these concepts through case studies. This book is ideal for business executives, entrepreneurs, data analysts, marketers, government officials, educators, and researchers.



Advances In Digital Marketing In The Era Of Artificial Intelligence


Advances In Digital Marketing In The Era Of Artificial Intelligence
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Author : Moez Ltifi
language : en
Publisher: CRC Press
Release Date : 2024-07-12

Advances In Digital Marketing In The Era Of Artificial Intelligence written by Moez Ltifi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-12 with Business & Economics categories.


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.



Moving Businesses Online And Embracing E Commerce Impact And Opportunities Caused By Covid 19


Moving Businesses Online And Embracing E Commerce Impact And Opportunities Caused By Covid 19
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Author : Semerádová, Tereza
language : en
Publisher: IGI Global
Release Date : 2021-12-03

Moving Businesses Online And Embracing E Commerce Impact And Opportunities Caused By Covid 19 written by Semerádová, Tereza and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-03 with Business & Economics categories.


The COVID-19 pandemic caused global shock to the entire economic system. As a result of the government restrictions, both production and distribution channels were interrupted. In this situation, however, it was possible to observe that some companies were able to adapt to these new conditions. The demand for the possibility of translating physical business into virtual increased. The COVID-19 restrictions showed that many entrepreneurs do not have enough knowledge about the available online tools and possibilities. Given that the digital transformation of business today often consists only of incorporating existing tools into existing processes, transition to e-commerce could be made easily and quickly. Moving Businesses Online and Embracing E-Commerce: Impact and Opportunities Caused by COVID-19 analyzes the impact of COVID-19-related restrictions on business models of enterprises affected most by these restrictions and examines transformational changes induced by the accelerated adoption of internet technologies and transition to e-commerce-based business models. Covering topics such as customer relationship management (CRM), small and medium enterprises (SMEs), and customer loyalty, this book serves as an essential resource for business owners, CEOs, managers, IT consultants, web developers, students, professors, entrepreneurs, researchers, industry professionals, and academicians.