HBR Guide to AI Basics for Managers
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Narrated by:
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Rich Miller
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Cindy Kay
About this listen
Get up to speed on AI—and start reaping the benefits now.
From product design and financial modeling to performance management and hiring decisions—artificial intelligence and machine learning are becoming everyday tools for managers at businesses of all sizes. But the rewards of every AI system come with risks—and if you don't understand how to make sense of them, you're not going to make the right decisions.
Whether you want to get up to speed quickly, could just use a refresher, or are working with an AI expert for the first time, HBR Guide to AI Basics for Managers will give you the information and skills you need.
You'll learn how to: understand key terms and concepts; identify which of your projects and processes would benefit from an AI approach; deal with ethical issues before they come up; hire the best AI vendors; run small experiments; and work better with your AI experts and data scientists.
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.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2023 Harvard Business School Publishing Corporation (P)2023 Ascent AudioListeners also enjoyed...
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What to Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on artificial intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans, it raises profound questions on the future of work and how companies compete.
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Assumes that machine learning will grow very slow
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Artificial intelligence is changing our world faster than we can imagine, and it will impact every area of our lives. And this is happening whether we like it or not. You might have heard that many jobs will be replaced by automation and robots, but did you also know that at the same time a huge number of new jobs will be created by AI? This book covers many fascinating and timely topics related to artificial intelligence, including: self-driving cars, robots, chatbots, and how AI will impact the job market, business processes, and entire industries, just to name a few.
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Completely useless
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Machine, Platform, Crowd
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Both How AND Why for Techies
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Fantastic book - volume lower than usual
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In the past few years, a number of well-known firms have failed; think of Blockbuster, Kodak, or RadioShack. When we hear about their demise, it often seems inevitable - a natural part of "creative destruction." But closer examination reveals a disturbing truth: Companies large and small are shuttering more quickly than ever. What does it take to buck this trend? The simple answer is: ambidexterity. Firms must remain competitive in their core markets, while also winning in new domains.
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Very very inspirational to me.
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Winning with Data explores the cultural changes big data brings to business, and shows you how to adapt your organization to leverage data to maximum effect. Authors Tomasz Tunguz and Frank Bien draw on extensive background in big data, business intelligence, and business strategy to provide a blueprint for companies looking to move head-on into the data wave. Instrumentation is discussed in detail, but the core of the change is in the culture.
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Content marketing
- By Adam Winn on 12-22-16
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Giving Effective Feedback
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Examples of feedback styles.
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Competing in the Age of AI
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In industry after industry, data, analytics, and AI-driven processes are transforming the nature of work. While we often still treat AI as the domain of a specific skill, business function, or sector, we have entered a new era in which AI is challenging the very concept of the firm. AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value.
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Good writing but disappointing reading
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What listeners say about HBR Guide to AI Basics for Managers
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- Amazon Customer
- 01-10-24
good information
revelant information, that is very applicable. I like that the book provides a good foundation for learning about artificial intelligence
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