The Artificial Intelligence Playbook
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The Artificial Intelligence Playbook
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Author : Meghan Hargrave
language : en
Publisher: Corwin Press
Release Date : 2025-04-11
The Artificial Intelligence Playbook written by Meghan Hargrave and has been published by Corwin Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-11 with Education categories.
The Latest Time Saving AI Tools that Make Learning More Engaging Busy educators need tools that support their planning and provide them with more time with students. While artificial intelligence (AI) has emerged as a promising solution, it can only help if we’re willing to continuously learn how to use it in ways that improve upon what we already do well. The Artificial Intelligence Playbook: Time-Saving Tools for Teachers that Make Learning More Engaging, Second Edition, is a thoroughly updated, expanded new edition that reflects the transformative changes that have emerged since the first publication, offering updated strategies, insights, research, and examples that address the latest developments in AI technology. Learn how to purposefully use AI with: Best practices for composing effective prompts for optimal output and incorporating images, PDFs, or other documents with those prompts An expanded look at the responsible use of generative AI, addressing plagiarism, citations, and other common concerns New strategies and research supporting AI literacy instruction to prepare students for an AI-powered future More classroom examples demonstrating AI use cases for instructional best practices across various grade levels Practical ways to implement AI to enhance teaching functions from planning, instruction, assessment, student engagement, and more. Though AI has the potential to reduce workload for educators, it will never replace teachers. Your connection with students is irreplaceable—and greatly impacts their learning. With The Artificial Intelligence Playbook, Second Edition, in hand, educators will find even more time-saving tools to help build and sustain those vital relationships with students all while enhancing learning and engagement in the classroom.
The Deep Learning Ai Playbook
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Author : Carlos Perez
language : en
Publisher: Lulu.com
Release Date : 2017-10-11
The Deep Learning Ai Playbook written by Carlos Perez and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-11 with Computers categories.
Just like any new technology, what perplexes many is the question of how to apply Deep Learning in a business context. Technology that is disruptive does not automatically imply that the development of valuable use cases are apparent. For years, many people could not figure out how to monetize the World Wide Web. We are in that same situation with Deep Learning AI. The developments are mind-boggling but the monetization is far from being obvious.Deep Learning Artificial Intelligence involves the interplay of Computer Science, Physics, Biology, Linguistics and Psychology. In addition to that, it is technology that can be extremely disruptive. Furthermore, the ramifications to society and even our own humanity can be immense. There are few subjects that are as captivating and as consequential as this. Surprisingly, there is very little that is written about this new technology in a more comprehensive and cohesive way. This book is an opinionated take on the developments of Deep Learning AI.
The Artificial Intelligence Playbook
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Author : Meghan Hargrave
language : en
Publisher: Corwin Press
Release Date : 2024-03-05
The Artificial Intelligence Playbook written by Meghan Hargrave and has been published by Corwin Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-05 with Education categories.
Time Saving AI Tools that Make Learning More Engaging Busy educators need tools that support their planning and provide them with more time with students. While Artificial Intelligence (AI) has emerged as a promising solution, it can only help if we’re willing to learn how to use it in ways that improve upon what we already do well. The Artificial Intelligence Playbook: Time Saving Tools that Make Learning More Engaging is here to empower teachers to explore AI’s potential and discover practical ways to implement it to enhance their planning and instruction. Two chapters and 6 "Educator Functions" guide teachers step-by-step through how to purposely use AI to: Compose Writing Prompts and Avoid Plagiarism Manage Content Foster Student Engagement Meet Students’ Instructional Needs Assess Student Learning Continue Lifelong Learning Though AI has the potential to reduce workload for educators, it will never replace teachers. Your connection with students is irreplaceable—and greatly impacts their learning. Consider AI a valuable tool that provides you with more time to build and sustain those vital relationships with students and that can assist them in learning at the very same time.
The Ai Value Playbook
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Author : Lisa Weaver-Lambert
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-08-30
The Ai Value Playbook written by Lisa Weaver-Lambert and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-30 with Computers categories.
Learn from real-world examples how leveraging AI, including machine learning and generative AI, is imperative for businesses to navigate risk, drive value, and gain a competitive advantage Key Features Understand machine learning and generative AI terminology, concepts, and the AI technology stack. Learn from diverse real-world case studies narrated by business leaders in their own voice. Apply a value-driven approach to AI applications across multiple business sectors. Book DescriptionBusiness leaders are challenged by the speed of AI innovation and how to navigate disruption and uncertainty. This book is a crucial resource for those who want to understand how to leverage AI to drive business value, drawn from the firsthand experience of those who have been implementing this technology successfully. The AI Value Playbook focuses on questions frequently posed by leaders and boards. How can businesses adapt to these emerging technologies? How can they start building and deploying AI as a strategic asset to drive efficiency? What risks or threats need to be considered? How quickly can value be created? This book is a response to those demands. In a series of in-depth and wide-ranging conversations with practitioners, from CEOs leading new generative AI-based companies to Data Scientists and CFOs working in more traditional companies. Our experts share their hard-earned wisdom, talking candidly about their successes and failures, and what excites them about the future. These interviews offer unique insights for business leaders to apply to their own organizations. The book distils a value-driven playbook for how AI can be put to work today.What you will learn Fundamentals of AI concepts and the tech stack How AI works with real-world practical applications How to integrate into your company's overall strategy How to incorporate generative AI in your processes How to drive value with sector-wide examples How to organize an AI-driven operating model How to use AI for competitive advantage The dos and don'ts of AI application Who this book is for The AI Value Playbook is aimed at supporting non-technical executives and board members to quickly formulate a perspective on how to integrate AI. This book addresses the gap in data and AI knowledge in leadership teams that have an appetite for nuanced, targeted and practical solutions. It includes which levers and processes to consider to future-proof their business. It speaks to an audience interested in understanding how AI can drive value for their organisations.
The Deep Learning Ai Playbook
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Author : Carlos Perez
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2017-10-11
The Deep Learning Ai Playbook written by Carlos Perez and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-11 with categories.
Deep Learning Artificial Intelligence involves the interplay of Computer Science, Physics, Biology, Linguistics and Psychology. In addition to that, it is technology that can be extremely disruptive. The ramifications to society and even our own humanity will be profound. There are few subjects that are as captivating and as consequential as this. Surprisingly, there is very little that is written about this new technology in a more comprehensive and cohesive way. This book is an opinionated take on the developments of Deep Learning AI. One question many have will be "how to apply Deep Learning AI in a business context?" Technology that is disruptive does not automatically imply that its application to valuable use cases will be apparent. For years, many people could not figure out how to monetize the World Wide Web. We are in a similar situation with Deep Learning AI. The developments may be mind-boggling but its monetization is far from being obvious. This book presents a framework to address this shortcoming.
Human Machine
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Author : Paul R. Daugherty
language : en
Publisher: Harvard Business Press
Release Date : 2018-03-20
Human Machine written by Paul R. Daugherty 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 2018-03-20 with Computers categories.
AI is radically transforming business. Are you ready? Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now--in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on? In Human + Machine, Accenture leaders Paul R. Daugherty and H. James (Jim) Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization--whether related to breakthrough innovation, everyday customer service, or personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly--or to completely reimagine them. AI is changing all the rules of how companies operate. Based on the authors' experience and research with 1,500 organizations, the book reveals how companies are using the new rules of AI to leap ahead on innovation and profitability, as well as what you can do to achieve similar results. It describes six entirely new types of hybrid human + machine roles that every company must develop, and it includes a "leader’s guide" with the five crucial principles required to become an AI-fueled business. Human + Machine provides the missing and much-needed management playbook for success in our new age of AI. BOOK PROCEEDS FOR THE AI GENERATION The authors' goal in publishing Human + Machine is to help executives, workers, students and others navigate the changes that AI is making to business and the economy. They believe AI will bring innovations that truly improve the way the world works and lives. However, AI will cause disruption, and many people will need education, training and support to prepare for the newly created jobs. To support this need, the authors are donating the royalties received from the sale of this book to fund education and retraining programs focused on developing fusion skills for the age of artificial intelligence.
The Deep Learning Ai Playbook
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Author : Carlos E. Pérez
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2017-10-19
The Deep Learning Ai Playbook written by Carlos E. Pérez and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-19 with Artificial intelligence categories.
Deep Learning Artificial Intelligence involves the interplay of Computer Science, Physics, Biology, Linguistics and Psychology. In addition to that, it is technology that can be extremely disruptive. The ramifications to society and even our own humanity will be profound. There are few subjects that are as captivating and as consequential as this. Surprisingly, there is very little that is written about this new technology in a more comprehensive and cohesive way. This book is an opinionated take on the developments of Deep Learning AI. One question many have will be "how to apply Deep Learning AI in a business context?" Technology that is disruptive does not automatically imply that its application to valuable use cases will be apparent. For years, many people could not figure out how to monetize the World Wide Web. We are in a similar situation with Deep Learning AI. The developments may be mind-boggling but its monetization is far from being obvious. This book presents a framework to address this shortcoming.
Lifelong Machine Learning
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Author : Zhiyuan Chen
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2018-08-14
Lifelong Machine Learning written by Zhiyuan Chen and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-14 with Computers categories.
Lifelong Machine Learning, Second Edition is an introduction to an advanced machine learning paradigm that continuously learns by accumulating past knowledge that it then uses in future learning and problem solving. In contrast, the current dominant machine learning paradigm learns in isolation: given a training dataset, it runs a machine learning algorithm on the dataset to produce a model that is then used in its intended application. It makes no attempt to retain the learned knowledge and use it in subsequent learning. Unlike this isolated system, humans learn effectively with only a few examples precisely because our learning is very knowledge-driven: the knowledge learned in the past helps us learn new things with little data or effort. Lifelong learning aims to emulate this capability, because without it, an AI system cannot be considered truly intelligent. Research in lifelong learning has developed significantly in the relatively short time since the first edition of this book was published. The purpose of this second edition is to expand the definition of lifelong learning, update the content of several chapters, and add a new chapter about continual learning in deep neural networks—which has been actively researched over the past two or three years. A few chapters have also been reorganized to make each of them more coherent for the reader. Moreover, the authors want to propose a unified framework for the research area. Currently, there are several research topics in machine learning that are closely related to lifelong learning—most notably, multi-task learning, transfer learning, and meta-learning—because they also employ the idea of knowledge sharing and transfer. This book brings all these topics under one roof and discusses their similarities and differences. Its goal is to introduce this emerging machine learning paradigm and present a comprehensive survey and review of the important research results and latest ideas in the area. This book is thus suitable for students, researchers, and practitioners who are interested in machine learning, data mining, natural language processing, or pattern recognition. Lecturers can readily use the book for courses in any of these related fields.
Enterprise Artificial Intelligence Transformation
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Author : Rashed Haq
language : en
Publisher: John Wiley & Sons
Release Date : 2020-06-23
Enterprise Artificial Intelligence Transformation written by Rashed Haq 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 2020-06-23 with Business & Economics categories.
Enterprise Artificial Intelligence Transformation AI is everywhere. From doctor's offices to cars and even refrigerators, AI technology is quickly infiltrating our daily lives. AI has the ability to transform simple tasks into technological feats at a human level. This will change the world, plain and simple. That's why AI mastery is such a sought-after skill for tech professionals. Author Rashed Haq is a subject matter expert on AI, having developed AI and data science strategies, platforms, and applications for Publicis Sapient's clients for over 10 years. He shares that expertise in the new book, Enterprise Artificial Intelligence Transformation. The first of its kind, this book grants technology leaders the insight to create and scale their AI capabilities and bring their companies into the new generation of technology. As AI continues to grow into a necessary feature for many businesses, more and more leaders are interested in harnessing the technology within their own organizations. In this new book, leaders will learn to master AI fundamentals, grow their career opportunities, and gain confidence in machine learning. Enterprise Artificial Intelligence Transformation covers a wide range of topics, including: Real-world AI use cases and examples Machine learning, deep learning, and slimantic modeling Risk management of AI models AI strategies for development and expansion AI Center of Excellence creating and management If you're an industry, business, or technology professional that wants to attain the skills needed to grow your machine learning capabilities and effectively scale the work you're already doing, you'll find what you need in Enterprise Artificial Intelligence Transformation.