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The Digital Mindset: What It Really Takes to Thrive in the Age of Data, Algorithms, and AI

The Digital Mindset: What It Really Takes to Thrive in the Age of Data, Algorithms, and AI

The pressure to "be digital" has never been greater, but you can meet the challenge.

The digital revolution is here, changing how work gets done, how industries are structured, and how people from all walks of life work, behave, and relate to each other. To thrive in a world driven by data and powered by algorithms, we must learn to see, think, and act in new ways. We need to develop a digital mindset.

But what does that mean? Some fear it means that we all need to become technologists who master the intricacies of coding, algorithms, AI, machine learning, robotics, and who-knows-what's-next.

That's not the case. You can develop a digital mindset, and this book shows you how. It introduces three approaches—Collaboration, Computation, and Change—and the perspectives and actions within each approach that will enable you to develop the digital skills you need. With a digital mindset, you'll ask the right questions, make smart decisions, and appreciate new possibilities for a digital future. Leaders who adopt these approaches will be able to develop their organization's talent and prepare their company for successful and continued digital transformation.

Award-winning researchers and professors Paul Leonardi and Tsedal Neeley will show you how to do it and let you in on the surprising and welcome secret: developing a digital mindset isn't as hard as you think. Most people can become digitally savvy if they follow the "30 percent rule"—the minimum threshold that gives us enough digital literacy to understand and take advantage of the digital threads woven into the fabric of our world.

A digital mindset will future-proof you, your career, and your organization. Learn how to develop one here.

Introduction: The 30 Percent Rule

Part One: Collaboration

Chapter 1. Working with Machines

Chapter 2. Cultivating Your Digital Presence

Part Two: Computation

Chapter 3. Data and Analytics

Chapter 4. Drunks and Lampposts

Part Three: Change

Chapter 5. Cybersecurity and Privacy

Chapter 6. The Experimentation Imperative

Chapter 7. The Only Constant

Conclusion: It’s Time!

Appendix: Continuous Learning Case Examples

Glossary

Notes

If you find an error or have any questions, please email us at admin@erenow.org. Thank you!