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Author: Peter Gentsch
Publisher: Springer
ISBN: 3319899570
Category : Business & Economics
Languages : en
Pages : 280
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Book Description
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.
Author: Peter Gentsch
Publisher: Springer
ISBN: 3319899570
Category : Business & Economics
Languages : en
Pages : 280
Get Book Here
Book Description
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.
Author: Greg Kihlström
Publisher: Stylus Publishing, LLC
ISBN: 1501519786
Category : Computers
Languages : en
Pages : 199
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Book Description
In today's dynamic marketing landscape, artificial intelligence (AI) stands at the forefront of innovation, offering unprecedented opportunities for marketers. This book enables marketing professionals to harness the power of AI, featuring in-depth discussions on key topics such as generative AI, personalized customer experiences, team and workflow augmentation, and data analysis optimization. It is divided into four parts, each addressing a different aspect of AI and marketing. Part I covers the fundamentals of AI in marketing, including machine learning and generative AI. Part II explores growth areas for marketing and AI, using generative AI and customer journey personalization. Part III goes into detail about how to use AI, particularly generative AI tools, to enhance the marketing function. Part IV is about integration and optimization, providing insights on when and where to invest in AI and how to prepare your team for an AI-driven marketing future. FEATURES: Covers AI-based platforms for text, image, and video generation, revolutionizing content creation Shows how AI can enhance customer interactions through personalized content and conversational AI Explores AI-automated workflows, improved reporting, and streamlined marketing processes Features AI analytics to optimize audience segmentation, predictive analytics, and marketing strategies Addresses the ethical implications of AI in marketing, ensuring responsible and transparent use
Author: Paul Roetzer
Publisher: BenBella Books
ISBN: 1637740808
Category : Business & Economics
Languages : en
Pages : 256
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Book Description
Artificial intelligence is forecasted to have trillions of dollars of impact on businesses and the economy, yet many marketers struggle to understand what it is and how to apply it in their marketing efforts. The truth is, AI possesses the power to change everything. While AI-powered marketing technologies may never achieve the sci-fi vision of self-running, self-improving autonomous systems, a little bit of AI can go a long way toward dramatically increasing productivity, efficiency, and performance. Marketing AI Institute’s Founder & CEO, Paul Roetzer, and Chief Content Officer, Mike Kaput, join forces to show marketers how to embrace AI and make it their competitive advantage. Marketing Artificial Intelligence draws on years of research and dozens of interviews with AI marketers, executives, engineers, and entrepreneurs. Roetzer and Kaput present the current potential of AI, as well as a glimpse into a near future in which marketers and machines work seamlessly to run personalized campaigns of unprecedented complexity with unimaginable simplicity. As the amount of data exponentially increases, marketers’ abilities to filter through the noise and turn information into actionable intelligence remain limited. Roetzer and Kaput show you how to make breaking through that noise your superpower. So, come along on a journey of exploration and enlightenment. Marketing Artificial Intelligence is the blueprint for understanding and applying AI, giving you just the edge in your career you’ve been waiting for.
Author: The Ink Company Publishing
Publisher:
ISBN:
Category :
Languages : es
Pages : 212
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Book Description
Aprovechar el Potencial de Soluciones basadas en Inteligencia Artificial como Fórmula de Optimización del Stack Tecnológico para Marketing. - La Inteligencia Artificial y el mercadeo son absolutamente complementarios.
Author: Greg Grdodian
Publisher:
ISBN: 9780692602287
Category :
Languages : en
Pages : 266
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Book Description
Not long ago, the entire process of marketing was a human endeavor-driven by countless cases of trial and error as we learned from our human mistakes. The idea of sales automation, of artificial intelligence streamlining the marketing process, seemed like the stuff of science fiction or a far-off dream. But now the digital age is here, and with it, new technologies have paved the way for marketing opportunities we never thought possible. In Marketing AI(tm), innovative marketing executives Stevan Roberts and Greg Grdodian, both of Reach Marketing LLC, bring their decades of experience to the forefront to illustrate what artificial intelligence and automated marketing can do for your business. From gaining a thorough understanding of your customers to using an integrated lead life cycle program to effectively engaging with your audience for sustained revenue growth, this valuable guide showcases how the latest technology will coordinate every aspect of the marketing process-in ways that no conventional strategy can provide. In an era when creativity and simple data collection may not be enough to drive your business forward, Marketing AI delves into the true art and science of personalized multichannel marketing-including how these new technologies are increasing sales, promoting customer satisfaction, and helping companies stand out from the pack.
Author: Alex Khang
Publisher: CRC Press
ISBN: 1040022251
Category : Computers
Languages : en
Pages : 457
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Book Description
In the digital-driven economy era, an AI-oriented competency framework (AIoCF) is a collection to identify AI-oriented knowledge, attributes, efforts, skills, and experiences (AKASE) that directly and positively affect the success of employees and the organization. The application of skills-based competency analytics and AI-equipped systems is gradually becoming accepted by business and production organizations as an effective tool for automating several managerial activities consistently and efficiently in developing and moving the capacity of a company up to a world-class level. AI-Oriented Competency Framework for Talent Management in the Digital Economy: Models, Technologies, Applications, and Implementation discusses all the points of an AIoCF, which includes predictive analytics, advisory services, predictive maintenance, and automated processes, which help to make the operations of project management, personnel management, or administration more efficient, profitable, and safe. The book includes the functionality of emerging career pathways, hybrid learning models, and learning paths related to the learning and development of employees in the production or delivery fields. It also presents the relationship between skills taxonomy and competency framework with interactive methods using datasets, processing workflow diagrams, and architectural diagrams for easy understanding of the application of intelligent functions in role-based competency systems. By also covering upcoming areas of AI and data science in many government and private organizations, the book not only focuses on managing big data and cloud resources of the talent management system but also provides cybersecurity techniques to ensure that systems and employee competency data are secure. This book targets a mixed audience of students, engineers, scholars, researchers, academics, and professionals who are learning, researching, and working in the field of workforce training, human resources, talent management systems, requirement, headhunting, outsourcing, and manpower consultant services from different cultures and industries in the era of digital economy.
Author: Raj Venkatesan
Publisher: Stanford University Press
ISBN: 1503628043
Category : Business & Economics
Languages : en
Pages : 295
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Book Description
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.
Author: Scott Brinker
Publisher: John Wiley & Sons
ISBN: 1119183235
Category : Business & Economics
Languages : en
Pages : 290
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Book Description
Apply software-inspired management concepts to accelerate modern marketing In many ways, modern marketing has more in common with the software profession than it does with classic marketing management. As surprising as that may sound, it's the natural result of the world going digital. Marketing must move faster, adapt more quickly to market feedback, and manage an increasingly complex set of customer experience touchpoints. All of these challenges are shaped by the dynamics of software—from the growing number of technologies in our own organizations to the global forces of the Internet at large. But you can turn that to your advantage. And you don't need to be technical to do it. Hacking Marketing will show you how to conquer those challenges by adapting successful management frameworks from the software industry to the practice of marketing for any business in a digital world. You'll learn about agile and lean management methodologies, innovation techniques used by high-growth technology companies that any organization can apply, pragmatic approaches for scaling up marketing in a fragmented and constantly shifting environment, and strategies to unleash the full potential of talent in a digital age. Marketing responsibilities and tactics have changed dramatically over the past decade. This book now updates marketing management to better serve this rapidly evolving discipline. Increase the tempo of marketing's responsiveness without chaos or burnout Design "continuous" marketing programs and campaigns that constantly evolve Drive growth with more marketing experiments while actually reducing risk Architect marketing capabilities in layers to better scale and adapt to change Balance strategic focus with the ability to harness emergent opportunities As a marketer and a manager, Hacking Marketing will expand your mental models for how to lead marketing in a digital world where everything—including marketing—flows with the speed and adaptability of software.
Author: John Hany
Publisher: Packt Publishing Ltd
ISBN: 1789534283
Category : Computers
Languages : en
Pages : 301
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Book Description
Apply deep learning techniques and neural network methodologies to build, train, and optimize generative network models Key FeaturesImplement GAN architectures to generate images, text, audio, 3D models, and moreUnderstand how GANs work and become an active contributor in the open source communityLearn how to generate photo-realistic images based on text descriptionsBook Description With continuously evolving research and development, Generative Adversarial Networks (GANs) are the next big thing in the field of deep learning. This book highlights the key improvements in GANs over generative models and guides in making the best out of GANs with the help of hands-on examples. This book starts by taking you through the core concepts necessary to understand how each component of a GAN model works. You'll build your first GAN model to understand how generator and discriminator networks function. As you advance, you'll delve into a range of examples and datasets to build a variety of GAN networks using PyTorch functionalities and services, and become well-versed with architectures, training strategies, and evaluation methods for image generation, translation, and restoration. You'll even learn how to apply GAN models to solve problems in areas such as computer vision, multimedia, 3D models, and natural language processing (NLP). The book covers how to overcome the challenges faced while building generative models from scratch. Finally, you'll also discover how to train your GAN models to generate adversarial examples to attack other CNN and GAN models. By the end of this book, you will have learned how to build, train, and optimize next-generation GAN models and use them to solve a variety of real-world problems. What you will learnImplement PyTorch's latest features to ensure efficient model designingGet to grips with the working mechanisms of GAN modelsPerform style transfer between unpaired image collections with CycleGANBuild and train 3D-GANs to generate a point cloud of 3D objectsCreate a range of GAN models to perform various image synthesis operationsUse SEGAN to suppress noise and improve the quality of speech audioWho this book is for This GAN book is for machine learning practitioners and deep learning researchers looking to get hands-on guidance in implementing GAN models using PyTorch. You’ll become familiar with state-of-the-art GAN architectures with the help of real-world examples. Working knowledge of Python programming language is necessary to grasp the concepts covered in this book.
Author: Neha Zaidi
Publisher: Springer Nature
ISBN: 1484298101
Category :
Languages : en
Pages : 339
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Book Description
