Power and Prediction

Download or Read eBook Power and Prediction PDF written by Ajay Agrawal and published by Harvard Business Press. This book was released on 2022-11-15 with total page 171 pages. Available in PDF, EPUB and Kindle.
Power and Prediction

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Publisher: Harvard Business Press

Total Pages: 171

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ISBN-10: 9781647824204

ISBN-13: 1647824206

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Book Synopsis Power and Prediction by : Ajay Agrawal

Disruption resulting from the proliferation of AI is coming. The authors of the bestselling Prediction Machines can help you prepare. Artificial intelligence (AI) has impacted many industries around the world—banking and finance, pharmaceuticals, automotive, medical technology, manufacturing, and retail. But it has only just begun its odyssey toward cheaper, better, and faster predictions that drive strategic business decisions. When prediction is taken to the max, industries transform, and with such transformation comes disruption. What is at the root of this? In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go deeper, examining the most basic unit of analysis: the decision. The authors explain that the two key decision-making ingredients are prediction and judgment, and we perform both together in our minds, often without realizing it. The rise of AI is shifting prediction from humans to machines, relieving people from this cognitive load while increasing the speed and accuracy of decisions. This sets the stage for a flourishing of new decisions and has profound implications for system-level innovation. Redesigning systems of interdependent decisions takes time—many industries are in the quiet before the storm—but when these new systems emerge, they can be disruptive on a global scale. Decision-making confers power. In industry, power confers profits; in society, power confers control. This process will have winners and losers, and the authors show how businesses can leverage opportunities, as well as protect their positions. Filled with illuminating insights, rich examples, and practical advice, Power and Prediction is the must-read guide for any business leader or policymaker on how to make the coming AI disruptions work for you rather than against you.

Prediction Machines

Download or Read eBook Prediction Machines PDF written by Ajay Agrawal and published by Harvard Business Press. This book was released on 2018-04-17 with total page 272 pages. Available in PDF, EPUB and Kindle.
Prediction Machines

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Publisher: Harvard Business Press

Total Pages: 272

Release:

ISBN-10: 9781633695689

ISBN-13: 1633695689

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Book Synopsis Prediction Machines by : Ajay Agrawal

"What does AI mean for your business? Read this book to find out." -- Hal Varian, Chief Economist, Google Artificial intelligence does the seemingly impossible, magically bringing machines to life--driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future. But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs. When AI is framed as cheap prediction, its extraordinary potential becomes clear: Prediction is at the heart of making decisions under uncertainty. Our businesses and personal lives are riddled with such decisions. Prediction tools increase productivity--operating machines, handling documents, communicating with customers. Uncertainty constrains strategy. Better prediction creates opportunities for new business structures and strategies to compete. Penetrating, fun, and always insightful and practical, Prediction Machines follows its inescapable logic to explain how to navigate the changes on the horizon. The impact of AI will be profound, but the economic framework for understanding it is surprisingly simple.

Prediction Machines, Updated and Expanded

Download or Read eBook Prediction Machines, Updated and Expanded PDF written by Ajay Agrawal and published by Harvard Business Press. This book was released on 2022-11-15 with total page 347 pages. Available in PDF, EPUB and Kindle.
Prediction Machines, Updated and Expanded

Author:

Publisher: Harvard Business Press

Total Pages: 347

Release:

ISBN-10: 9781647824686

ISBN-13: 1647824680

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Book Synopsis Prediction Machines, Updated and Expanded by : Ajay Agrawal

Named one of "The five best books to understand AI" by The Economist The impact AI will have is profound, but the economic framework for understanding it is surprisingly simple. Artificial intelligence seems to do the impossible, magically bringing machines to life—driving cars, trading stocks, and teaching children. But facing the sea change that AI brings can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many either cower in fear or predict an impossibly sunny future. But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this masterful stroke, they lift the curtain on the AI-is-magic hype and provide economic clarity about the AI revolution as well as a basis for action by executives, policy makers, investors, and entrepreneurs. In this new, updated edition, the authors illustrate how, when AI is framed as cheap prediction, its extraordinary potential becomes clear: Prediction is at the heart of making decisions amid uncertainty. Our businesses and personal lives are riddled with such decisions. Prediction tools increase productivity—operating machines, handling documents, communicating with customers. Uncertainty constrains strategy. Better prediction creates opportunities for new business strategies to compete. The authors reset the context, describing the striking impact the book has had and how its argument and its implications are playing out in the real world. And in new material, they explain how prediction fits into decision-making processes and how foundational technologies such as quantum computing will impact business choices. Penetrating, insightful, and practical, Prediction Machines will help you navigate the changes on the horizon.

The Economics of Artificial Intelligence

Download or Read eBook The Economics of Artificial Intelligence PDF written by Ajay Agrawal and published by University of Chicago Press. This book was released on 2019-05-22 with total page 643 pages. Available in PDF, EPUB and Kindle.
The Economics of Artificial Intelligence

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Publisher: University of Chicago Press

Total Pages: 643

Release:

ISBN-10: 9780226613338

ISBN-13: 022661333X

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Book Synopsis The Economics of Artificial Intelligence by : Ajay Agrawal

Advances in artificial intelligence (AI) highlight the potential of this technology to affect productivity, growth, inequality, market power, innovation, and employment. This volume seeks to set the agenda for economic research on the impact of AI. It covers four broad themes: AI as a general purpose technology; the relationships between AI, growth, jobs, and inequality; regulatory responses to changes brought on by AI; and the effects of AI on the way economic research is conducted. It explores the economic influence of machine learning, the branch of computational statistics that has driven much of the recent excitement around AI, as well as the economic impact of robotics and automation and the potential economic consequences of a still-hypothetical artificial general intelligence. The volume provides frameworks for understanding the economic impact of AI and identifies a number of open research questions. Contributors: Daron Acemoglu, Massachusetts Institute of Technology Philippe Aghion, Collège de France Ajay Agrawal, University of Toronto Susan Athey, Stanford University James Bessen, Boston University School of Law Erik Brynjolfsson, MIT Sloan School of Management Colin F. Camerer, California Institute of Technology Judith Chevalier, Yale School of Management Iain M. Cockburn, Boston University Tyler Cowen, George Mason University Jason Furman, Harvard Kennedy School Patrick Francois, University of British Columbia Alberto Galasso, University of Toronto Joshua Gans, University of Toronto Avi Goldfarb, University of Toronto Austan Goolsbee, University of Chicago Booth School of Business Rebecca Henderson, Harvard Business School Ginger Zhe Jin, University of Maryland Benjamin F. Jones, Northwestern University Charles I. Jones, Stanford University Daniel Kahneman, Princeton University Anton Korinek, Johns Hopkins University Mara Lederman, University of Toronto Hong Luo, Harvard Business School John McHale, National University of Ireland Paul R. Milgrom, Stanford University Matthew Mitchell, University of Toronto Alexander Oettl, Georgia Institute of Technology Andrea Prat, Columbia Business School Manav Raj, New York University Pascual Restrepo, Boston University Daniel Rock, MIT Sloan School of Management Jeffrey D. Sachs, Columbia University Robert Seamans, New York University Scott Stern, MIT Sloan School of Management Betsey Stevenson, University of Michigan Joseph E. Stiglitz. Columbia University Chad Syverson, University of Chicago Booth School of Business Matt Taddy, University of Chicago Booth School of Business Steven Tadelis, University of California, Berkeley Manuel Trajtenberg, Tel Aviv University Daniel Trefler, University of Toronto Catherine Tucker, MIT Sloan School of Management Hal Varian, University of California, Berkeley

HBR Guide to AI Basics for Managers

Download or Read eBook HBR Guide to AI Basics for Managers PDF written by Harvard Business Review and published by Harvard Business Press. This book was released on 2023-01-10 with total page 170 pages. Available in PDF, EPUB and Kindle.
HBR Guide to AI Basics for Managers

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Publisher: Harvard Business Press

Total Pages: 170

Release:

ISBN-10: 9781647824440

ISBN-13: 1647824443

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Book Synopsis HBR Guide to AI Basics for Managers by : Harvard Business Review

AI is ready for business. Are you ready for AI? From financial modeling and product design to performance management and hiring decisions, AI and machine learning are becoming everyday tools for managers at businesses of all sizes. But AI systems come with benefits and downsides—and if you can't make sense of them, you're not going to make the right decisions. Whether you need to get up to speed quickly or need a refresher, or you're working with an AI expert for the first time, the HBR Guide to AI Basics for Managers will give you the information and skills you need to succeed. You'll learn how to: Understand key AI terms and concepts Recognize which of your projects would benefit from AI Work more effectively with your data team Hire the right AI vendors and consultants Deal with ethical risks before they arise Scale AI across your organization Arm yourself with the advice you need to succeed on the job, with the most trusted brand in business. Packed with how-to essentials from leading experts, the HBR Guides provide smart answers to your most pressing work challenges.

OECD Skills Outlook 2023 Skills for a Resilient Green and Digital Transition

Download or Read eBook OECD Skills Outlook 2023 Skills for a Resilient Green and Digital Transition PDF written by OECD and published by OECD Publishing. This book was released on 2023-11-06 with total page 271 pages. Available in PDF, EPUB and Kindle.
OECD Skills Outlook 2023 Skills for a Resilient Green and Digital Transition

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Publisher: OECD Publishing

Total Pages: 271

Release:

ISBN-10: 9789264807129

ISBN-13: 9264807128

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Book Synopsis OECD Skills Outlook 2023 Skills for a Resilient Green and Digital Transition by : OECD

Skills are vital for building resilient economies and societies. By helping individuals develop a diverse range of skills and empowering them to apply these skills effectively, skills policies play a crucial role in responding to emerging threats, such as environmental degradation and harmful applications of technologies used to collect, generate, and exchange information. This edition of the Skills Outlook highlights the importance of supporting individuals in acquiring a wide range of skills, at varying levels of proficiency, to promote economic and social resilience. Additionally, the report acknowledges the role of attitudes and dispositions in enabling skills development and effective skills use. It also emphasises the need for policy makers to monitor the costs associated with policies aimed at promoting the green and digital transition, and how the transition affects inequalities. Training opportunities that respond to emerging labour market needs and efforts to facilitate their uptake can promote a just and inclusive green and digital transition. In turn, education systems that equip young people not only with skills but attitudes to manage change can ensure that the green and digital transition is sustainable in the longer term.

Data Science: The Hard Parts

Download or Read eBook Data Science: The Hard Parts PDF written by Daniel Vaughan and published by "O'Reilly Media, Inc.". This book was released on 2023-11-01 with total page 244 pages. Available in PDF, EPUB and Kindle.
Data Science: The Hard Parts

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Publisher: "O'Reilly Media, Inc."

Total Pages: 244

Release:

ISBN-10: 9781098146436

ISBN-13: 1098146433

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Book Synopsis Data Science: The Hard Parts by : Daniel Vaughan

This practical guide provides a collection of techniques and best practices that are generally overlooked in most data engineering and data science pedagogy. A common misconception is that great data scientists are experts in the "big themes" of the discipline—machine learning and programming. But most of the time, these tools can only take us so far. In practice, the smaller tools and skills really separate a great data scientist from a not-so-great one. Taken as a whole, the lessons in this book make the difference between an average data scientist candidate and a qualified data scientist working in the field. Author Daniel Vaughan has collected, extended, and used these skills to create value and train data scientists from different companies and industries. With this book, you will: Understand how data science creates value Deliver compelling narratives to sell your data science project Build a business case using unit economics principles Create new features for a ML model using storytelling Learn how to decompose KPIs Perform growth decompositions to find root causes for changes in a metric Daniel Vaughan is head of data at Clip, the leading paytech company in Mexico. He's the author of Analytical Skills for AI and Data Science (O'Reilly).

Finance & Development, September 2023

Download or Read eBook Finance & Development, September 2023 PDF written by International Monetary Fund. Communications Department and published by International Monetary Fund. This book was released on 2023-08-31 with total page 73 pages. Available in PDF, EPUB and Kindle.
Finance & Development, September 2023

Author:

Publisher: International Monetary Fund

Total Pages: 73

Release:

ISBN-10: 9798400250804

ISBN-13:

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Book Synopsis Finance & Development, September 2023 by : International Monetary Fund. Communications Department

Finance & Development, September 2023

HHAI 2023: Augmenting Human Intellect

Download or Read eBook HHAI 2023: Augmenting Human Intellect PDF written by P. Lukowicz and published by IOS Press. This book was released on 2023-07-07 with total page 556 pages. Available in PDF, EPUB and Kindle.
HHAI 2023: Augmenting Human Intellect

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Publisher: IOS Press

Total Pages: 556

Release:

ISBN-10: 9781643683959

ISBN-13: 1643683950

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Book Synopsis HHAI 2023: Augmenting Human Intellect by : P. Lukowicz

Artificial intelligence (AI) has been much in the news recently, with some commentators expressing concern that AI might eventually replace humans. But many developments in AI are designed to enhance and supplement the performance of humans rather than replace them, and a novel field of study, with new approaches and solutions to the development of AI, has arisen to focus on this aspect of the technology. This book presents the proceedings of HHAI2023, the 2nd International Conference on Hybrid Human-Artificial Intelligence, held from 26-30 June 2023, in Munich, Germany. The HHAI international conference series is focused on the study of artificially intelligent systems that cooperate synergistically, proactively, responsibly and purposefully with humans, amplifying rather than replacing human intelligence, and invites contributions from various fields, including AI, human-computer interaction, the cognitive and social sciences, computer science, philosophy, among others. A total of 78 submissions were received for the main conference track, and most papers were reviewed by at least three reviewers. The overall final acceptance rate was 43%, with 14 contributions accepted as full papers, 14 as working papers, and 6 as extended abstracts. The papers presented here cover topics including interactive hybrid agents; hybrid intelligence for decision support; hybrid intelligence for health; and values such as fairness and trust in hybrid intelligence. We further accepted 17 posters and 4 demos as well as 8 students to the first HHAI doctoral consortium this year. The authors of 4 working papers and 2 doctoral consortium submissions opted for not publishing their submissions to allow a later full submission, resulting in a total of 57 papers included in this proceedings Addressing all aspects of AI systems that assist humans and emphasizing the need for adaptive, collaborative, responsible, interactive, and human-centered artificial intelligence systems which can leverage human strengths and compensate for human weaknesses while considering social, ethical, and legal considerations, the book will be of interest to all those working in the field.

HBR's 10 Must Reads on AI (with bonus article "How to Win with Machine Learning" by Ajay Agrawal, Joshua Gans, and Avi Goldfarb)

Download or Read eBook HBR's 10 Must Reads on AI (with bonus article "How to Win with Machine Learning" by Ajay Agrawal, Joshua Gans, and Avi Goldfarb) PDF written by Harvard Business Review and published by Harvard Business Press. This book was released on 2023-09-05 with total page 239 pages. Available in PDF, EPUB and Kindle.
HBR's 10 Must Reads on AI (with bonus article

Author:

Publisher: Harvard Business Press

Total Pages: 239

Release:

ISBN-10: 9781647825850

ISBN-13: 1647825857

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Book Synopsis HBR's 10 Must Reads on AI (with bonus article "How to Win with Machine Learning" by Ajay Agrawal, Joshua Gans, and Avi Goldfarb) by : Harvard Business Review

The next generation of AI is here—use it to lead your business forward. If you read nothing else on artificial intelligence and machine learning, read these 10 articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you understand the future direction of AI, bring your AI initiatives to scale, and use AI to transform your organization. This book will inspire you to: Create a new AI strategy Learn to work with intelligent robots Get more from your marketing AI Be ready for ethical and regulatory challenges Understand how generative AI is game changing Stop tinkering with AI and go all in This collection of articles includes "Competing in the Age of AI," by Marco Iansiti and Karim R. Lakhani; "How to Win with Machine Learning," by Ajay Agrawal, Joshua Gans, and Avi Goldfarb; "Developing a Digital Mindset," by Tsedal Neeley and Paul Leonardi; "Learning to Work with Intelligent Machines," by Matt Beane; "Getting AI to Scale," by Tim Fountaine, Brian McCarthy, and Tamim Saleh; "Why You Aren't Getting More from Your Marketing AI," by Eva Ascarza, Michael Ross, and Bruce G. S. Hardie; "The Pitfalls of Pricing Algorithms," by Marco Bertini and Oded Koenigsberg; "A Smarter Strategy for Using Robots," by Ben Armstrong and Julie Shah; "Why You Need an AI Ethics Committee," by Reid Blackman; "Robots Need Us More Than We Need Them," by H. James Wilson and Paul R. Daugherty; "Stop Tinkering with AI," by Thomas H. Davenport and Nitin Mittal; and "ChatGPT Is a Tipping Point for AI," by Ethan Mollick. HBR's 10 Must Reads paperback series is the definitive collection of books for new and experienced leaders alike. Leaders looking for the inspiration that big ideas provide, both to accelerate their own growth and that of their companies, should look no further. HBR's 10 Must Reads series focuses on the core topics that every ambitious manager needs to know: leadership, strategy, change, managing people, and managing yourself. Harvard Business Review has sorted through hundreds of articles and selected only the most essential reading on each topic. Each title includes timeless advice that will be relevant regardless of an ever‐changing business environment.