HBR guide to AI basics for managers / Harvard Business Review Press.

Format:

Book

Author/Creator:

Harvard Business Review Press, author.

Series:

Harvard business review guides.

Harvard business review guides

Language:

English

Subjects (All):

Artificial intelligence.

Management--Technological innovations.

Management.

Business enterprises--Information technology--Management.

Business enterprises.

Industrial management.

Success in business.

Physical Description:

1 online resource

Place of Publication:

Boston, Massachusetts : Harvard Business Review Press, [2023]

System Details:

Mode of access: World Wide Web.

Summary:

"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; work better with your AI experts and data scientists"-- Provided by publisher.

Contents:

Intro

What You'll Learn

Contents

Introduction

Section 1: AI Fundamentals

Ch. 1: Three Questions About AI That Every Employee Should Be Able to Answer

Ch. 2: What Every Manager Should Know About Machine Learning

Ch. 3: The Three Types of AI

Ch. 4: AI Doesn't Have to Be Too Complicated or Expensive for Your Business

Section 2: Building Your AI Team

Ch. 5: How AI Fits into Your Data Science Team

Ch. 6: Ramp Up Your Team's Predicitive Analytics Skills

Ch. 7: Assembling Your AI Operations Team

Section 3: Picking the Right Projects

Ch. 8: How to Spot a Machine Learning Opportunity

Ch. 9: A Simple Tool to Start Making Decisions with the Help of AI

Ch. 10: How to Pick the Right Automation Project

Section 4: Working with AI

Ch. 11: Collaborative Intelligence: Humans and AI Are Joining Forces

Ch. 12: How to Get Employees to Embrace AI

Ch. 13: A Better Way to Onboard AI

Ch. 14: Managing AI Decision-Making Tools

Ch. 15: Your Company's Algorithms Will Go Wrong. Have a Plan in Place

Section 5: Managing Ethics and Bias

Ch. 16: A Practical Guide to Ethical AI

Ch. 17: AI Can Help Address Inequity-If Companies Earn Users' Trust

Ch. 18: Take Action to Mitigate Ethical Risks

Section 6: Taking the Next Steps with AI and Machine Learning

Ch. 19: How No-Code Platforms Can Bring AI to Small and Midsize Businesses

Ch. 20: The Power of Natural Language Processing

Ch. 21: Reinforcement Learning Is Ready for Business

Epilogue: Scaling AI

Ch. 22: How to Scale AI in Your Organization

Appendix: Case Study

Glossary of Key AI Terms

Index.

Notes:

Includes index.

Includes bibliographical references and index.

Other Format:

Print version: Review, Harvard Business HBR Guide to AI Basics for Managers

ISBN:

1-64782-444-3

OCLC:

1351199227