HBR Guide to AI Basics for Managers
- Length: 272 pages
- Edition: 1
- Language: English
- Publisher: Harvard Business Review Press
- Publication Date: 2023-04-11
- ISBN-10: 1647824451
- ISBN-13: 9781647824457
- Sales Rank: #2126111 (See Top 100 Books)
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.
Cover Series Page Title Page Copyright What You’ll Learn Contents Introduction. How AI will Redefine Management Section One. AI Fundamentals 1. Three Questions about AI That Every Employee Should Be Able to Answer 2. What Every Manager Should Know about Machine Learning 3. The Three Types of AI 4. AI Doesn’t Have to Be too Complicated or Expensive for Your Business Section Two. Building Your AI Team 5. How AI Fits into Your Data Science Team 6. Ramp up Your Team’s Predictive Analytics Skills 7. Assembling Your AI Operations Team Section Three. Picking the Right Projects 8. How to Spot a Machine Learning Opportunity 9. A Simple tool to Start Making Decisions with the Help of aI 10. How to Pick the Right Automation Project Section Four. Working with AI 11. Collaborative Intelligence: Humans and AI Are Joining Forces 12. How to Get Employees to Embrace AI 13. A Better Way to Onboard aI 14. Managing AI Decision-Making Tools 15. Your Company’s algorithms will Go Wrong. Have a Plan in Place. Section Five. Managing Ethics and Bias 16. A Practical Guide to Ethical aI 17. AI Can Help Address Inequity—If Companies Earn Users’ Trust 18. Take Action to Mitigate Ethical Risks Section Six. Taking the next Steps with AI and Machine Learning 19. How No-Code Platforms Can Bring AI to Small and Midsize Businesses 20. The Power of Natural Language Processing 21. Reinforcement Learning is Ready for Business Epilogue. Scaling AI 22. How to Scale AI in Your Organization Appendix. Case Study: will a Bank’s New Glossary of Key AI Terms Index
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