In an era where artificial intelligence (AI) is transforming industries, "GenAI Practitioner: Mastering AI-Driven Marketing for the Future" serves as a comprehensive guide for marketers looking to leverage the power of Generative AI. This book provides a detailed exploration of how AI can revolutionize marketing strategies, enhance customer engagement, and drive business growth. The journey begins with an introduction to the fundamentals of Generative AI, explaining key concepts, terminologies, and the evolution of this transformative technology. Readers will gain a solid understanding of the principles underpinning AI, laying the groundwork for more advanced topics. The book delves into the role of Generative AI in marketing, highlighting its benefits through real-world case studies. These examples demonstrate successful AI-driven campaigns, showcasing how businesses have effectively utilized AI to personalize customer experiences, optimize marketing efforts, and achieve remarkable results. Practical guidance on setting up an AI framework is provided, detailing the necessary tools, technologies, and environment setup. This section emphasizes key considerations for implementation, ensuring readers are equipped to integrate AI into their marketing strategies seamlessly. Data management and preparation are critical components of AI success. The book covers the importance of data, methods for collection and cleaning, and best practices for structuring data to maximize the efficacy of AI algorithms. This foundational knowledge is crucial for creating accurate and effective AI models. The text further explores AI-driven content creation, including generating text, images, and videos. It emphasizes personalization and targeting, illustrating how AI can produce tailored marketing materials that resonate with individual customers. Customer engagement is enhanced through AI-driven insights, personalized interactions, and the use of chatbots and virtual assistants. The book discusses how AI can improve customer experience and retention by providing timely and relevant support. Measuring the success and ROI of AI initiatives is essential for justifying investments and guiding future strategies. The book outlines key performance indicators, methods for analyzing AI-driven campaigns, and ROI calculation techniques. Finally, readers are introduced to future trends in Generative AI and marketing, exploring emerging technologies and innovations. This forward-looking perspective prepares marketers to stay ahead in a rapidly evolving landscape, ensuring they can harness the full potential of AI to drive their marketing efforts into the future. **"GenAI Practitioner: Mastering AI-Driven Marketing for the Future"** is an essential resource for anyone seeking to understand and apply AI in marketing, offering practical insights and strategies for achieving success in the digital age.

The largest ever conversation about the future of public relations. Thirty-five leading practitioners debate PR's role as a management discipline, the value it adds to modern day organisations and the skills public relations professionals need to stay relevant both now and in the future.

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.

"The landscape for education has been rapidly changing in the last years: demographic changes affecting the makeup of families, multiple school options available to children, wealth disparities, the global economy demanding new skills from workers, and continued breakthroughs in technology are some of the factors impacting education. Given these changes, how can schools continue to prepare students for the future? In a world where information is readily available online, how can schools continue to be relevant? The emergence of Artificial Intelligence (AI) has exacerbated the need to have these conversations. Its impact on education and the multiple possibilities that it offers are putting pressure on educational leaders to reformulate the school curriculum and the channels to deliver it. The book "Artificial Intelligence in Education, Promises and Implications for Teaching and Learning" by the Center for Curriculum Redesign immerses the reader in a discussion on what to teach students in the era of AI and examines how AI is already demanding much needed updates to the school curriculum, including modernizing its content, focusing on core concepts, and embedding interdisciplinary themes and competencies with the end goal of making learning more enjoyable and useful in students' lives. The second part of the book dives into the history of AI in education, its techniques and applications -including the way AI can help teachers be more effective, and finishes on a reflection about the social aspects of AI. This book is a must-read for educators and policy-makers who want to prepare schools to face the uncertainties of the future and keep them relevant." --Amada Torres, VP, Studies, Insights, and Research, National Association of Independent School (NAIS) "The rapid advances in technology in recent decades have already brought about substantial changes in education, opening up new opportunities to teach and learn anywhere anytime and providing new tools and methods to improve learning outcomes and support innovative teaching and learning.Research into artificial intelligence and machine learning in education goes back to the late 1970s. Artificial intelligence methods were generally employed in two ways: to design and facilitate interactive learning environments that would support learning by doing, and to design and implement tutoring systems by adapting instructions with respect to the students' knowledge state.But this is just the beginning. As Artificial Intelligence in Education shows, AI is increasingly used in education and learning contexts. The collision of three areas - data, computation and education - is set to have far-reaching consequences, raising fundamental questions about the nature of education: what is taught and how it is taught. Artificial Intelligence in Education is an important, if at times disturbing, contribution to the debate on AI and provides a detailed analysis on how it may affect the way teachers and students engage in education. The book describes how artificial intelligence may impact on curriculum design, on the individualisation of learning, and on assessment, offering some tantalising glimpses into the future (the end of exams, your very own lifelong learning companion) while not falling victim to tech-hype. The enormous ethical, technical and pedagogical challenges ahead are spelt out, and there is a real risk that the rapid advances in artificial intelligence products and services will outstrip education systems' capacity to understand, manage and integrate them appropriately. As the book concludes: "We can either leave it to others (the computer scientists, AI engineers and big tech companies) to decide how artificial intelligence in education unfolds, or we can engage in productive dialogue."I commend this book to anyone concerned with the future of education in a digital world." --Marc Durando, Executive Director, European Schoolnet

As seen in Fast Company, Inc., Entrepreneur, Quartz at Work, Big Think, Chief Learning Officer, Chief Executive Officer, and featured in the Financial Times, and Forbes Recommended Reading for Creative Leaders. Nominated for a GetAbstract International Book Award at Frankfurt Book Fair, as one of the top 10 business books of the year 2019 Selected as a best business book of 2019 by SoundView Keeping people's skills in sync with fast-changing markets is the biggest challenge of our time. The workplace is going through a large-scale transition with digitization, automation, and acceleration. Critical skills and expertise are imperative for companies and their employees to succeed in the future, and the most forward-thinking companies are being proactive in adapting to the shift in the workforce. Kelly Palmer, Silicon Valley thought-leader from LinkedIn, Degreed, and Yahoo, and David Blake, co-founder of Ed-tech pioneer Degreed, share their experiences and describe how some of the smartest companies in the world are making learning and expertise a major competitive advantage. The authors provide the latest scientific research on how people really learn and concrete examples from companies in both Silicon Valley and worldwide who are driving the conversation about how to create experts and align learning innovation with business strategy. It includes interviews with people from top companies like Google, LinkedIn, Airbnb, Unilever, NASA, and MasterCard; thought leaders in learning and education like Sal Khan and Todd Rose; as well as Thinkers50 list-makers Clayton Christensen, Daniel Pink, and Whitney Johnson. TheExpertise Economy dares you to let go of outdated and traditional ways of closing the skills gap, and challenges CEOs and business leaders to embrace the urgency of re-skilling and upskilling the workforce.

With this practical book, AI and machine learning practitioners will learn how to successfully build and deploy data science projects on Amazon Web Services. The Amazon AI and machine learning stack unifies data science, data engineering, and application development to help level upyour skills. This guide shows you how to build and run pipelines in the cloud, then integrate the results into applications in minutes instead of days. Throughout the book, authors Chris Fregly and Antje Barth demonstrate how to reduce cost and improve performance. Apply the Amazon AI and ML stack to real-world use cases for natural language processing, computer vision, fraud detection, conversational devices, and more Use automated machine learning to implement a specific subset of use cases with SageMaker Autopilot Dive deep into the complete model development lifecycle for a BERT-based NLP use case including data ingestion, analysis, model training, and deployment Tie everything together into a repeatable machine learning operations pipeline Explore real-time ML, anomaly detection, and streaming analytics on data streams with Amazon Kinesis and Managed Streaming for Apache Kafka Learn security best practices for data science projects and workflows including identity and access management, authentication, authorization, and more

BRONZE RUNNER UP: Axiom Awards 2018 - Business Technology Category Less than 0.5 per cent of all data is currently analyzed and used. However, business leaders and managers cannot afford to be unconcerned or sceptical about data. Data is revolutionizing the way we work and it is the companies that view data as a strategic asset that will survive and thrive. Data Strategy is a must-have guide to creating a robust data strategy. Explaining how to identify your strategic data needs, what methods to use to collect the data and, most importantly, how to translate your data into organizational insights for improved business decision-making and performance, this is essential reading for anyone aiming to leverage the value of their business data and gain competitive advantage. Packed with case studies and real-world examples, advice on how to build data competencies in an organization and crucial coverage of how to ensure your data doesn't become a liability, Data Strategy will equip any organization with the tools and strategies it needs to profit from Big Data, analytics and the Internet of Things (IoT).