Marketing with AI for Dummies by
Stay ahead in the marketing game by harnessing the power of artificial intelligence Marketing with AI For Dummies is your introduction to the revolution that's occurring in the marketing industry, thanks to artificial intelligence tools that can create text, images, audio, video, websites, and beyond. This book captures the insight of leading marketing executive Shiv Singh on how AI will change marketing, helping new and experienced marketers tackle AI marketing plans, content, creative assets, and localized campaigns. You'll also learn to manage SEO and customer personalization with powerful new technologies. Peek at the inner workings of AI marketing tools to see how you can best leverage their capabilities Identify customers, create content, customize outreach, and personalize customer experience with AI Consider how your team, department, or organization can be retooled to thrive in an AI-enabled world Learn from valuable case studies that show how large organizations are using AI in their campaigns This easy-to-understand Dummies guide is perfect for marketers at all levels, as well as those who only wear a marketing hat occasionally. Whatever your professional background, Marketing with AI For Dummies will usher you into the future of marketing.
AI for Humanity by
Capture the value of cutting-edge AI while mitigating its most salient risks AI For Humanity: Building a Sustainable AI for the Future delivers an incisive and timely discussion of how to design, build, and implement cutting-edge AI in for-profit firms and other organizations in a responsible, sustainable, and ethical way. The book walks you through the three pillars of human-focused AI development--governance, technology, and commercialization--and dives deep into each one, showing you how to create AI products and services that better humanity and advance universally held values. You'll find methodologies and frameworks that mitigate against some of the most profound and unsettling risks of unchecked artificial intelligence development, and roadmaps to help you avoid the numerous pitfalls and traps awaiting unsuspecting companies, managers, and executives. You'll also discover: Real-world case studies, from companies including SAP, Huawei, and Tencent, demonstrating the actual dilemmas and questions firms face when developing and implementing this extraordinary tech Actionable commitments you can make to help ensure you and your company avoid the ethical and reputational risks associated with AI Strategies for AI product and service development consistent with sustainable growth Perfect for managers, executives, directors, and other business leaders with a stake in responsible artificial intelligence design, development, and implementation, AI For Humanity will also interest regulators, academics, thought leaders, and policy makers doing their best to capture AI's substantial potential value while mitigating its most serious risks.
Artificial Intelligence of Things (AIoT) by
This book is devoted to the new standards, technologies, and communication systems for Artificial Intelligence of Things networks.It focuses on existing solutions in AIoT network technologies, applications, services, standards, architectures, and security provisions, as well as introducing new architectures and models for AIoT networks.
Artificial Intelligence and the Environmental Crisis by
A radical and challenging book which argues that artificial intelligence needs a completely different set of foundations, based on ecological intelligence rather than human intelligence, if it is to deliver on the promise of a better world. This can usher in the greatest transformation in human history, an age of re-integration. Our very existence is dependent upon our context within the Earth System, and so, surely, artificial intelligence must also be grounded within this context, embracing emergence, interconnectedness and real-time feedback. We discover many positive outcomes across the societal, economic and environmental arenas and discuss how this transformation can be delivered. Key Features: Identifies a key weakness in current AI thinking, that threatens any hope of a better world. Highlights the importance of realizing that systems theory is an essential foundation for any technology that hopes to positively transform our world. Emphasizes the need for a radical new approach to AI, based on ecological systems. Explains why ecosystem intelligence, not human intelligence, offers the best framework for AI. Examines how this new approach will impact on the three arenas of society, environment and economics, ushering in a new age of re-integration.
Introduction to Machine Learning by
Machine learning - a computer's ability to learn - is transforming our world: it is used to understand images, process text, make predictions by analysing large amounts of data, and much more. It can be used in nearly every industry to improve efficiency and help stakeholders make better decisions. Whatever your industry or hobby, chances are that these modern artificial intelligence methods will be useful to you as well. Introduction to Machine Learning weaves reproducible coding examples into explanatory text to show what machine learning is, how it can be applied, and how it works. Perfect for anyone new to the world of AI or those looking to further their understanding, the text begins with a brief introduction to the Wolfram Language, the programming language used for the examples throughout the book. From there, readers are introduced to key concepts before exploring common methods and paradigms such as classification, regression, clustering, and deep learning. The math content is kept to a minimum to focus on what matters - applying the concepts in useful contexts. This book is sure to benefit anyone curious about the fascinating field of machine learning.
Artificial Whiteness by
Dramatic statements about the promise and peril of artificial intelligence for humanity abound, as an industry of experts claims that AI is poised to reshape nearly every sphere of life. Who profits from the idea that the age of AI has arrived? Why do ideas of AI's transformative potential keep reappearing in social and political discourse, and how are they linked to broader political agendas? Yarden Katz reveals the ideology embedded in the concept of artificial intelligence, contending that it both serves and mimics the logic of white supremacy. He demonstrates that understandings of AI, as a field and a technology, have shifted dramatically over time based on the needs of its funders and the professional class that formed around it. From its origins in the Cold War military-industrial complex through its present-day Silicon Valley proselytizers and eager policy analysts, AI has never been simply a technical project enabled by larger data and better computing. Drawing on intimate familiarity with the field and its practices, Katz instead asks us to see how AI reinforces models of knowledge that assume white male superiority and an imperialist worldview. Only by seeing the connection between artificial intelligence and whiteness can we prioritize alternatives to the conception of AI as an all-encompassing technological force. Bringing together theories of whiteness and race in the humanities and social sciences with a deep understanding of the history and practice of science and computing, Artificial Whiteness is an incisive, urgent critique of the uses of AI as a political tool to uphold social hierarchies.
Reference: (650) 574-6232
Text: (650) 887-3669
Available whenever the Library is open. No appointment necessary. Librarians are located in the Library (Building 9) at the reference desk or you can ask to speak to a librarian.
One important thing to keep in mind as you start your research into AI, is recognizing that generative AI technologies as we know them now are still relatively new. Although AI has been in the public eye and discussed and used in various fields such as business, finance, education, etc. the landscape is still constantly shifting and changing.
Because of this, you want to be sure you pay close attention to date of publication and/or date that a source was last updated for sources talking about AI to ensure you have the most up to date information on a topic that will continue to shift and evolve in the weeks, months and years to come.
Beginning your research into artificial intelligence (AI) can be overwhelming so here are a few keywords that you can experiment with to find information on AI through library resources such as OneSearch and/or when looking for web resources:
This is not a comprehensive list of keywords by any means but as you do keyword searching, be mindful of commonly used keywords and experiment by including them in your searches to see what sorts of results you get.
Use OneSearch to find a variety of print and electronic resources in our collection along with other useful resources. After you search, use can use the filters to limit your results by source type, date, and more.
For more options, use the Advanced Search
You can use the Library databases to find articles from periodicals (magazines, newspapers, and scholarly journals), as well as other types of sources. If you are off campus, you will be prompted for your OneLogin username and password before you get access to our databases.
